AI healthcare

Updates on OpenAI's GPT-4o, AWS and NVIDIA's AI partnership, Groq's new AI chips, Elon Musk's xAI investments, and AI policy news from Microsoft and Sony.

Last Week in AI: Episode 32

The AI landscape continues to evolve at a rapid pace, with significant advancements and strategic collaborations shaping the future of technology. Last week saw notable updates from major players like OpenAI, NVIDIA, AWS, and more, highlighting the diverse applications and growing impact of artificial intelligence across various sectors. Here’s a roundup of the key developments from the past week.

OpenAI Debuts GPT-4o ‘Omni’ Model

Development: OpenAI has launched GPT-4o, an advanced version of its AI model powering ChatGPT. GPT-4o supports real-time responsiveness, allowing users to interrupt answers mid-conversation. It can process text, audio, and visual inputs and outputs, enhancing capabilities like real-time language translation and visual problem-solving.

Impact: This update significantly enhances the versatility and interactivity of ChatGPT, making it more practical for dynamic interactions. Learn more on TechCrunch

AWS and NVIDIA Extend Collaboration

Development: AWS and NVIDIA have partnered to advance generative AI innovation, especially in healthcare and life sciences. This includes integrating NVIDIA’s GB200 GPUs with Amazon SageMaker for faster AI model deployment.

Impact: This collaboration aims to accelerate AI-driven innovations in critical fields, offering powerful, cost-effective AI solutions. Read more on NVIDIA News

NVIDIA Unveils GB200 GPU Platform

Update: NVIDIA has introduced the GB200 GPU platform, designed for high-performance AI applications. This system includes the NVLink Switch, which enhances efficiency and performance for large-scale AI training and inference.

Impact: The GB200 platform promises to revolutionize AI infrastructure by providing unprecedented computational power for advanced AI models. Details on NVIDIA News

Groq’s Lightning-Fast AI Chips

Innovation: Groq has launched its new LPUs (Language Processing Units), optimized for faster AI inference in language models. These chips are designed to provide a significant speed advantage over traditional GPUs.

Impact: Groq aims to become a leading infrastructure provider for AI startups, offering efficient and cost-effective AI solutions. Learn more on Vease Blog

Elon Musk’s xAI to Spend $10 Billion on Oracle AI Cloud Servers

Development: Elon Musk’s AI startup, xAI, plans to invest $10 billion in Oracle’s AI cloud servers to support the training and deployment of its AI models. This substantial investment underscores the high computational demands of xAI’s advanced AI initiatives, particularly its Grok models.

Impact: This move highlights the critical role of robust cloud infrastructure in the development of next-generation AI technologies. It also demonstrates the increasing collaboration between AI startups and cloud service providers to meet the growing needs of AI research and applications. Read more on DataCenterDynamics

Microsoft Dodges UK Antitrust Scrutiny

Policy Update: Microsoft will not face antitrust scrutiny in the UK regarding its investment in Mistral AI. This decision allows Microsoft to continue its strategic investments without regulatory obstacles.

Implications: This development supports Microsoft’s ongoing expansion in AI technology investments. Read more on TechCrunch

EU Warns Microsoft Over Generative AI Risks

Policy Update: The EU has issued a warning to Microsoft, potentially imposing fines for not providing required information about the risks of its generative AI tools.

Impact: This highlights the increasing regulatory focus on AI transparency and safety within the EU. Learn more on Yahoo News

Strava Uses AI to Detect Cheating

Development: Strava has implemented AI technology to detect and remove cheats from its leaderboards, along with introducing a new family subscription plan and dark mode.

Impact: These measures aim to maintain platform integrity and improve user experience. Details on Yahoo Finance

Sony Music Warns Against Unauthorized AI Training

Policy Update: Sony Music has warned tech companies against using its content for AI training without permission, emphasizing the need for ethical data use.

Implications: This move stresses the importance of proper licensing and the potential legal issues of unauthorized data use. Learn more on AI Business

Recall.ai Secures $10M Series A Funding

Funding: Recall.ai has raised $10 million in Series A funding to develop tools for analyzing data from virtual meetings.

Impact: This funding will enhance the capabilities of businesses to leverage meeting data for insights and decision-making. Read more on TechCrunch

Google Adds Gemini to Education Suite

Update: Google has introduced a new AI add-on called Gemini to its Education suite, aimed at enhancing learning experiences through AI-driven tools.

Impact: This addition will provide educators and students with advanced resources, transforming educational practices. Learn more on TechCrunch

Final Thoughts

The developments from last week highlight the growing impact of AI across various domains, from healthcare and education to infrastructure and regulatory landscapes. As these technologies evolve, they promise to bring transformative changes, enhancing capabilities and offering new solutions to complex challenges. The future of AI looks promising, with ongoing innovations paving the way for more efficient, intelligent, and interactive applications.

Last Week in AI: Episode 32 Read More »

Last week in AI updates

Last Week in AI

We’re seeing some fascinating developments in AI lately, from new apps and healthcare tools to major shifts in regulation and cybersecurity. Let’s dive into these updates.

OpenAI App Store Launch

OpenAI is about to shake things up by launching a store for GPTs, custom apps built on their AI models like GPT-4. Here’s what’s happening:

  1. GPT Store Launch: This new platform, announced at OpenAI’s DevDay, is set to open soon. It’s a place where developers can list their GPT-based apps.
  2. Rules for Developers: If you’re making a GPT app, you’ve got to follow OpenAI’s latest usage policies and brand guidelines to get your app on the store.
  3. Diverse Applications: These GPTs can do all sorts of things, from specialized Q&As to generating code that follows best practices.

What’s the big deal? Well, OpenAI is moving from just offering AI models to creating a whole ecosystem where others can build and share their AI-powered apps. This could really democratize how generative AI apps are made, though we’re still waiting to see the full impact of this move.

Google’s Fresh Approach to Training LLMs

Google’s DeepMind team is pushing the boundaries in robotics for 2024. They’re working on cool new ways to train robots using videos and big language models. Here’s the lowdown:

  1. Smarter Robots: The goal is to make robots that get what humans want and can adapt better. They’re moving away from robots that just do one thing over and over.
  2. AutoRT System: This new system uses big AI models to control a bunch of robots at once. These robots can work together and handle different tasks by understanding visual and language cues.
  3. RT-Trajectory for Learning: They’ve also got this new method that uses video to teach robots. It’s turning out to be more successful than older ways of training.

Basically, DeepMind is working on making robots more versatile and quick learners. It’s a big step from the robots we’re used to, and it could really change how we think about and use robots in the future.

Microsoft Copilot

Microsoft has been pretty sneaky, launching its Copilot app on Android, iOS, and iPadOS during the holidays. It’s like a portable AI buddy, based on the same tech as OpenAI’s ChatGPT. Here’s the lowdown:

  1. AI-Powered Assistant: Copilot (you might know it as Bing Chat) can help with all sorts of tasks. Drafting emails, summarizing texts, planning trips, and more – just by typing in your questions or instructions.
  2. Creative Boost with DALL·E 3: The app’s got this cool Image Creator feature powered by DALL·E 3. It lets you experiment with different styles, whip up social media posts, design logos, and even visualize storyboards for films and videos.
  3. Popular and Free Access to Advanced AI: It’s a hit! Over 1.5 million downloads across Android and iOS. What’s really neat is it uses the more advanced GPT-4 tech from OpenAI, and it’s free – unlike OpenAI’s GPT app that charges for GPT-4 access.

Microsoft’s move to make Copilot a standalone app, especially after rebranding Bing Chat, shows they’re serious about making AI more accessible and widespread. It’s a big step in bringing advanced AI right into our daily digital lives.

Perplexity AI

Perplexity AI is a new player in the search engine game, but with an AI twist. It’s like a chatbot that lets users ask questions in everyday language and gives back answers with sources. Here’s the scoop:

  1. Chatbot-Style Search: You ask questions, and it replies with summaries and citations, kind of like chatting with a super-smart friend. And you can dig deeper with follow-up questions.
  2. Pro Plan Perks: For those who want more, there’s a Pro plan. It has cool features like image generation, a Copilot for unlimited help, and even lets you upload files for the AI to analyze.
  3. Ambitious AI Goals: Perplexity isn’t stopping at search. They’re rolling out their own GenAI models that use their search data and the web for better performance. This is available to Pro users through an API.

But, with great AI comes great responsibility. There are worries about misuse and misinformation, plus the costs and copyright issues since GenAI models learn from heaps of web content. Despite these challenges, Perplexity has raised a lot of money and boasts 10 million active users each month. It’s definitely a name to watch in the AI search world!

AI Regulations

In 2024, there’s more action on AI rules globally. Last year saw big steps in setting these up. Now, countries like the U.S., the European Union, and China are each crafting their own AI laws, and other regions are joining in with their approaches to AI and its effects.

Three key takeaways:

  1. The US, EU, and China each have their unique strategies for AI regulations, reflecting their influence in the AI sector.
  2. These upcoming regulations will significantly impact companies, especially those in AI.
  3. It’s not just about tech; these rules are shaping international politics and relationships.

In short, AI regulation is evolving rapidly, making a notable impact on businesses and global politics. It’s a crucial area to watch for anyone interested in the future of AI and its governance.

AI Cybersecurity

AI trends are really shaping up, especially in cybersecurity. Last year, generative AI was a big deal, and it’s going to have an even bigger impact this year. Here’s what’s going on:

Key points:

  1. AI’s use, misuse, and importance in cybersecurity is a hot topic. Think of stuff like cyberattacks and data insecurity.
  2. Experts are talking about both the challenges and opportunities AI brings, like its role in detecting threats or creating malware.
  3. There’s a big focus on how AI might be misused for things like deep fakes and spreading false info.

In essence, AI is really changing the game in cybersecurity, with lots of potential for good and bad. It’s crucial for organizations to stay alert and understand how to handle these AI tools.

Data Ownership

The big thing in tech right now is all about who owns and controls data. We’re moving from a world where personal data was used freely to one where privacy and even data ownership rights are taking center stage. Think of it like data becoming the new “oil” for AI.

Here’s what’s happening:

  1. Laws like the GDPR kicked off this trend. Now, places like Brazil are also getting serious about data privacy and investing in regulations.
  2. This change is cutting down on the free-for-all use of personal data. Instead, we’re seeing new systems that give people more control over their data.
  3. Big names like Apple’s CEO, Tim Cook, are pushing for these changes, focusing on protecting and empowering consumers.

So, what’s the bottom line? Data ownership is becoming a huge deal in tech. It’s not just about privacy anymore; it’s about giving people a say in how their data is used, which is a game-changer for everyone in the data economy.

Investing in AI

In 2024, AI investing looks like it’s moving beyond just hype. Investors are keen on funding AI startups and are expecting this trend to keep up. But now, there’s a shift towards more sustainable, focused businesses in AI.

Here’s the scoop:

  1. We’re anticipating a new wave of AI startups. These aren’t just building on tech from giants like OpenAI or Google, but are more specialized and sector-specific.
  2. Investors like Lisa Wu from Norwest Venture Partners see big potential in these specialized AI businesses. They’re seen as safer bets because they’re not easy for big companies to just replicate.
  3. These startups are all about knowing their specific users and using AI to boost productivity. For example, law firms are using AI to work more efficiently and get better results at lower costs.

In short, AI investing is maturing. It’s less about general hype and more about creating targeted solutions that really understand and improve specific industries.

AI in Healthcare

Nabla, a Paris-based startup, is making big moves in healthcare with its AI doctor’s assistant. They’ve just bagged $24 million in Series B funding, and here’s why they’re a game-changer:

  1. Revolutionizing Medical Documentation: Nabla’s AI helps doctors by transcribing conversations, highlighting important info, and creating medical reports quickly. It’s all about boosting doctors’ efficiency, not replacing them.
  2. Focus on Data Processing: They put privacy first. No storing audio or notes without clear consent. Plus, they’re keen on accuracy, allowing doctors to share notes for transcription error correction.
  3. Impact and Future Goals: This AI tool is already helping thousands of doctors in the U.S., especially with the Permanente Medical Group. Nabla aims for FDA approval and wants to keep doctors at the heart of healthcare.

In short, Nabla’s AI is here to assist doctors, not take over their jobs. With this new funding, they’re set to transform how doctors use technology, all while maintaining strict privacy standards. It’s an exciting step forward for AI in healthcare. 🚀💡🏥

Final Thoughts

In the AI world, big things are happening! OpenAI’s new store, Google’s smart robots, Microsoft’s Copilot app, and Perplexity AI’s search engine are shaking things up. Plus, AI’s role in healthcare, data ownership, and global regulations are evolving fast. It’s a thrilling time for AI, with major changes and innovations all around! 🌐💡🤖

Last Week in AI Read More »

AI-Powered Healthcare Future

GPT-4’s Impact on Radiology: A New Era in Healthcare

Leave a Comment /

The advent of GPT-4 marks a transformative era in radiology, showcasing how AI can reshape healthcare. We’re witnessing a significant leap from traditional practices to a future where AI aids in crucial medical domains.

GPT-4’s Role in Radiology Reporting

  • Efficiency and Accuracy: GPT-4 has demonstrated its ability to generate radiology reports at a more efficient rate without compromising accuracy. Studies commissioned by the National Institutes of Health (NIH) reveal its potential in standardizing and optimizing radiology reporting​​.
  • Comparative Analysis: Researchers compared GPT-4 generated reports with those of radiologists, focusing on clarity, structure, and content. The AI-generated reports were not only similar in content but also more efficient, using fewer words and characters, thus enhancing communication in clinical practice​​.

Advancements in Medical Domains

  • Benchmark Performance: GPT-4’s impressive performance in medical competency exams and potential utility in consultations indicate a promising outlook for healthcare innovation​​.
  • Structured Reports: Structuring radiology reports is another area where GPT-4 excels. This structuring improves the standardization of disease descriptions, making them more interpretable and searchable for healthcare providers and research​​.

Project MAIRA: Multimodal AI in Radiology

  • Comprehensive Investigation: Project MAIRA focuses on a specialized large multimodal model for radiology report generation, exploring GPT-4’s boundaries in this field​​​​.
  • Impact on Radiologist Workflow: GPT-4’s introduction into radiology aims to enhance workflow efficiency and patient engagement, creating a future where patients and healthcare providers benefit from AI’s precision and clarity​​.

The Future Outlook

  • Patient Engagement and Education: Translating medical reports into more empathetic and understandable formats is a step forward in revolutionizing patient engagement and education​​.
  • Ethical Considerations and Clinical Trials: While GPT-4’s potential is vast, its implementation in clinical environments requires ethical considerations and extensive research through clinical trials to ensure responsible integration in healthcare​​.

All in All

GPT-4 is changing the game in healthcare. It’s bringing AI to radiology, blending it with what doctors know to make patient care safer and more on point. Everyone’s buzzing about how GPT-4 is going to shake things up in healthcare big time. We’re right at the edge of something super exciting in medicine!

Read our previous blog on AI in healthcare.

GPT-4’s Impact on Radiology: A New Era in Healthcare Read More »

Last week in AI news

Last Week in AI

Leave a Comment /

Let’s dive into the latest in the world of AI: OpenAI’s leadership updates, xAI’s new chatbot, Google’s AI advancements, PANDA’s healthcare breakthrough, and the Genentech-NVIDIA partnership. Discover how these developments are transforming technology.

OpenAI

Sam Altman Reinstated as OpenAI CEO

Sam Altman is back as CEO of OpenAI after a dramatic boardroom drama. The conflict, which saw former president Greg Brockman resign and then return, ended with an agreement for Altman to lead again. The new board includes Bret Taylor, Larry Summers, and Adam D’Angelo, with D’Angelo representing the old board. They’re tasked with forming a larger, nine-person board to stabilize governance. Microsoft, a major investor, seeks a seat on this expanded board.

  1. Leadership Reinstated: Altman’s return, alongside Brockman, signifies a resolution to the internal power struggle.
  2. Board Restructuring: A new, smaller board will create a larger one for better governance, involving key stakeholders like Microsoft.
  3. Future Stability: This change aims to ensure stability and focus on OpenAI’s mission, with investigations into the saga planned.

This shake-up highlights the challenges in managing fast-growing tech companies like OpenAI. It underscores the importance of stable leadership and governance in such influential organizations. For users and investors, this means a return to a focused approach towards advancing AI technology under familiar leadership.

OpenAI’s New AI Breakthrough Raises Safety Concerns

OpenAI, led by chief scientist Ilya Sutskever, achieved a major technical advance in AI model development. CEO Sam Altman hailed it as a significant push in AI discovery. Yet, there’s internal concern about safely commercializing these advanced models.

  1. Technical Milestone: OpenAI’s new advancement marks a significant leap in AI capabilities.
  2. Leadership’s Vision: Sam Altman sees this development as a major push towards greater discovery in AI.
  3. Safety Concerns: Some staff members are worried about the risks and lack of sufficient safeguards for these more powerful AI models.

OpenAI’s advancement marks a leap in AI technology, raising questions about balancing innovation with safety and ethics in AI development. This underscores the need for careful management and ethical standards in powerful AI technologies.

OpenAI Researchers Warn of Potential Threats

OpenAI researchers have raised alarms to the board about a potentially dangerous new AI discovery. This concern was expressed before CEO Sam Altman was ousted. They warned against quickly selling this technology, especially the AI algorithm Q*, which might lead to AGI (artificial general intelligence). This algorithm can solve complex math problems. Their worries highlight the need for ethical and safe AI development.

  1. AI Breakthrough: The AI algorithm Q* represents a significant advancement, potentially leading to AGI.
  2. Ethical Concerns: Researchers are worried about the risks and ethical implications of commercializing such powerful AI too quickly.
  3. Safety and Oversight: The letter stresses the need for careful, responsible development and use of advanced AI.

The situation at OpenAI shows the tricky task of mixing tech growth with ethics and safety. Researchers’ concerns point out the need for careful, controlled AI development, especially with game-changing technologies. This issue affects the whole tech world and society in responsibly using advanced AI.

ChatGPT Voice

Inflection AI’s New Model ‘Inflection-2’

Inflection AI’s new ‘Inflection-2‘ model beats Google and Meta, rivaling GPT-4. CEO Mustafa Suleyman will upgrade their chatbot Pi with it. The model, promising major advancements, will be adapted to Pi’s style. The company prioritizes AI safety and avoids political topics, acknowledging the sector’s intense competition.

  1. Innovative AI Model: Inflection-2 is poised to enhance Pi’s functionality, outshining models from tech giants like Google and Meta.
  2. Integration and Scaling: Plans to integrate Inflection-2 into Pi promise significant improvements in chatbot interactions.
  3. Commitment to Safety and Ethics: Inflection AI emphasizes responsible AI use, steering clear of controversial topics and political activities.

Inflection AI’s work marks a big leap in AI and chatbot tech, showing fast innovation. Adding Inflection-2 to Pi may create new benchmarks in conversational AI, proving small companies can excel in advanced tech. Their focus on AI safety and ethics reflects the industry’s shift towards responsible AI use.

Anthropic’s Claude 2.1

Claude 2.1 is a new AI model enhancing business capabilities with a large 200K token context, better accuracy, and a ‘tool use’ feature for integrating with business processes. It’s available via API on claude.ai, with special features for Pro users. This update aims to improve cost efficiency and precision in enterprise AI.

  1. Extended Context Window: Allows handling of extensive content, enhancing Claude’s functionality in complex tasks.
  2. Improved Accuracy: With reduced false statements, the model becomes more reliable for various AI applications.
  3. Tool Use Feature: Enhances Claude’s integration with existing business systems, expanding its practical use.

Claude 2.1 is a major step in business AI, offering more powerful, accurate, and versatile tools. It tackles AI reliability and integration challenges, making it useful for diverse business operations. Its emphasis on cost efficiency and precision shows how AI solutions are evolving to meet modern business needs.

xAI to Launch Grok for Premium+ Subscribers

Elon Musk’s xAI is introducing Grok, a new chatbot, to its X Premium+ subscribers. Grok, distinct in personality and featuring real-time knowledge access via the X platform, is designed to enhance user experience. It’s trained on a database similar to ChatGPT and Meta’s Llama 2, and will perform real-time web searches for up-to-date information on various topics.

  1. xclusive Chatbot Launch: Grok will be available to Premium+ subscribers, highlighting its unique features and personality.
  2. Real-Time Knowledge Access: Grok’s integration with X platform offers up-to-date information, enhancing user interaction.
  3. Amidst Industry Turbulence: The launch coincides with challenges at X and recent events at rival AI firm OpenAI.

xAI’s release of Grok is a key strategy in the AI chatbot market. Grok’s unique personality and real-time knowledge features aim to raise chatbot standards, providing users with dynamic, informed interactions. This launch shows the AI industry’s continuous innovation and competition to attract and retain users.

Google’s Bard AI Gains Video Summarization Skill, Sparks Creator Concerns

Google’s Bard AI chatbot now can analyze YouTube videos, extracting key details like recipe ingredients without playing the video. This skill was demonstrated with a recipe for an Espresso Martini. However, this feature, which is part of an opt-in Labs experience, could impact content creators by allowing users to skip watching videos, potentially affecting creators’ earnings.

  1. Advanced Video Analysis: Bard’s new capability to summarize video content enhances user convenience.
  2. Impact on YouTube Creators: This feature might reduce views and engagement, affecting creators’ revenue.
  3. Balancing Technology and Creator Rights: The integration of this tool into YouTube raises questions about ensuring fair value for creators.

Bard’s latest update illustrates the evolving capabilities of AI in media consumption, making content more accessible. However, it also highlights the need for a balance between technological advancements and the rights and earnings of content creators. Google’s response to these concerns will be crucial in shaping the future relationship between AI tools and digital content creators.

PANDA: AI for Accurate Pancreatic Cancer Detection

A study in Nature Medicine presents PANDA, a deep learning tool for detecting pancreatic lesions using non-contrast CT scans. In tests with over 6,000 patients from 10 centers, PANDA exceeded average radiologist performance, showing high accuracy (AUC of 0.986–0.996) in identifying pancreatic ductal adenocarcinoma (PDAC). Further validation with over 20,000 patients revealed 92.9% sensitivity and 99.9% specificity. PANDA also equaled contrast-enhanced CT scans in distinguishing pancreatic lesion types. This tool could significantly aid in early pancreatic cancer detection, potentially improving patient survival.

  1. Exceptional Accuracy: PANDA shows high accuracy in detecting pancreatic lesions, outperforming radiologists.
  2. Large-Scale Screening Potential: Its efficiency in a multi-center study indicates its suitability for widespread screening.
  3. Early Detection Benefits: Early detection of PDAC using PANDA could greatly improve patient outcomes.

PANDA represents a major advancement in medical AI, offering a more effective way to screen for pancreatic cancer. Its high accuracy and potential for large-scale implementation could lead to earlier diagnosis and better survival rates for patients, showcasing the impactful role of AI in healthcare diagnostics.

Genentech and NVIDIA Partner to Accelerate Drug Discovery with AI

Genentech and NVIDIA are collaborating to advance medicine development with AI. They’re enhancing Genentech’s algorithms using NVIDIA’s supercomputing and BioNeMo platform, aiming to speed up and improve drug discovery. This partnership is set to boost efficiency in scientific innovation and drug development.

  1. Optimized Drug Discovery: Genentech’s AI models will be enhanced for faster, more successful drug development.
  2. AI and Cloud Integration: Leveraging NVIDIA’s AI supercomputing and BioNeMo for scalable model customization.
  3. Mutual Expertise Benefit: Collaboration provides NVIDIA with insights to improve AI tools for the biotech industry.

This collaboration marks a significant advance in integrating AI with biotech, potentially transforming how new medicines are discovered and developed. By combining Genentech’s drug discovery expertise with NVIDIA’s AI and computational prowess, the partnership aims to make the drug development process more efficient and effective, promising faster progress in medical innovation.

The AI world is rapidly evolving, from OpenAI’s changes to innovative healthcare tools. These developments demonstrate AI’s growing impact on technology and industries, underscoring its exciting future.

Last Week in AI Read More »

futuristic AI hospital room

AI Beats Biopsy: Big Win in Finding Tough Cancers

Leave a Comment /

A big study shows a new way to find a rare cancer called sarcomas. It’s not a doctor, but a smart AI algorithm that did a better job than a biopsy diagnosis. Let’s see how this smart tool is helping and what it means for patients..

AI: A Smart Cancer Spotter

The Royal Marsden NHS foundation trust and the Institute of Cancer Research did a study. They found that AI was right 82% of the time in checking how bad the sarcomas were, while biopsies were right only 44% of the time.

Quick Help, Better Health

This AI tool helps find high-risk patients fast so they get treated quickly. And low-risk patients? They get to avoid treatments they don’t need, saving time and stress.

Hope for More Cancers

The good news doesn’t stop at sarcomas. The researchers think this AI tool could help find other types of cancer too. That could help a lot of people!

Strong Support

Big groups like the Royal Marsden Cancer Charity, National Institute for Health and Care Research (NIHR), Wellcome Trust, and the EORTC Soft Tissue and Bone Sarcoma Group supported this study. It was published in a big medical journal, making it a big deal in the medical world.

Discover how Vease can help in healthcare with AI. Check our previous blog to learn more about AI in healthcare. Keep coming back for more stories on our blog .

AI Beats Biopsy: Big Win in Finding Tough Cancers Read More »