Vault Bioventures on LinkedIn: Research Shows Generative AI In The EHR Can Work Well, But Only With Human… (2024)

Exciting News: Google's AI Revolutionizes X-ray Analysis and Patient Queries!Google has developed a cutting-edge AI technology that accurately describes X-rays and provides answers to patient questions. This remarkable advancement aligns with the work I have conducted during my PhD i.e. using #Deeplearning for X-ray analysis for early #Covid detection. Here are the key highlights:1. Advanced X-ray Description: Google's new AI system utilizes state-of-the-art algorithms to provide detailed descriptions of X-ray images. This breakthrough enables enhanced understanding and analysis of medical scans.2. Patient Query Assistance: In addition to interpreting X-rays, Google's AI is designed to answer patient questions related to their medical conditions. This empowers individuals to access relevant information and make more informed decisions about their health.The availability of Google's AI technology opens up new possibilities for medical professionals and researchers alike. By harnessing the power of this innovative tool, we can further advance our understanding of diagnostic imaging and improve patient care outcomes.https://lnkd.in/dp96BcQX#GoogleAI #XrayAnalysis #PatientQueries #AIinMedicine

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Harnessing the potential of generative AI within Electronic Health Records could help to alleviate physician burnout and enhance patient education. This is awesome.A team at Mass General Brigham conducted research that underscores the benefits of AI-driven responses. Those same responses highlight the critical need for human oversight. AI continues to be a transformative landscape, and what we learn today will undoubtedly shape better healthcare interactions in the future. https://lnkd.in/eFZsT7-u

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The integration of AI into healthcare is reshaping the industry in profound ways, promising to revolutionize how we diagnose, treat, and manage diseases. As we delve into the future of healthcare AI, it becomes evident that the potential applications are limitless, offering unprecedented opportunities to improve patient outcomes, streamline workflows, and enhance overall efficiency within the healthcare ecosystem.One of the most significant contributions of AI to healthcare lies in its ability to analyze vast amounts of medical data with remarkable speed and accuracy. Machine learning algorithms can sift through electronic health records, medical imaging scans, genomic data, and real-time patient monitoring data to identify patterns, trends, and correlations that may elude human observers. This capability enables early disease detection, personalized treatment recommendations, and predictive analytics that empower clinicians to make more informed decisions and intervene proactively to improve patient outcomes.We're ushering in a new era of healthcare that is more efficient, effective, and patient-centered than ever before. As we continue to innovate and collaborate across disciplines, the possibilities for leveraging AI to enhance healthcare outcomes are truly limitless.#AI #GenAI #Healthcare #Patients #TechTrends #Innovation

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How HCA Is Integrating Google’s Generative AI Into Its Emergency Departments – MedCity News - MedCity News # Title: How HCA Is Integrating Google’s Generative AI Into Its Emergency Departments# Summary:HCA, one of the largest healthcare providers in the US, is utilizing Google's Generative AI technology to improve efficiency and reduce burnout in its emergency departments. By integrating this AI tool, HCA aims to enhance patient care and streamline workflows. This collaboration between HCA and Google has the potential to revolutionize emergency medicine by providing real-time insights and predictive analytics. The implementation of Generative AI has shown promising results in reducing wait times, optimizing resource allocation, and improving overall patient outcomes.# Headings:## 1. Introduction to HCA's Integration of Google's Generative AI (#HCA #GenerativeAI)Hai.mediformatica.com#health #google #this #data #generativeai #medical #emergency #healthcare #physicians #emergencydepartment #medcity #news #digitalhealth #healthit #healthtech #healthcaretechnology@MediFormatica (https://buff.ly/3sWlNQm)

The overarching promise for the future of generative AI in healthcare is big and the conversation around regulation and AI in healthcare is ongoing. As these tools become more powerful and embedded into our daily lives, we must ensure that they are safe. Read here the latest on Digital Health's AI + Data Event in October in London with quotes from Dr Simon Wallace and Dr Umang Patel: https://lnkd.in/e5nM4FfY#MicrosoftCloud #PatientSafety #LLM

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Learn how to apply AI at your hospital. This episode features an engaging conversation with Martín Tripiana from Abi Global Health (https://buff.ly/48bZm8D), exploring his transition from high energy physics to AI and ML in healthcare. The discussion delves into Abbey AI's innovative approach to telemedicine, leveraging AI to enhance patient and doctor interactions. Key topics include the application of large language models in healthcare, the potential of federated learning, and the future of precision medicine. Martín shares insights from his unique journey, highlighting the impact of AI on healthcare efficiency and accessibility. Show hosts Joe (Eng VP) and Jordan (M&A Deal Lead) worked at various companies from Google, Apple, Facebook, Microsoft, Salesforce, Slack, Carts, Splunk, Wealthfront, Adobe, Microsoft, and more.💯 Don't miss out on overtime where we ask Martin additional questions such as future of particle colliders, addressing Healthcare Data Privacy with AI, Strategies for Anonymizing Medical Data, and The Results From Having Doctors Use AI at The Hospital: https://buff.ly/3OD3Uhj🏅Have Your Tech, Business, Investing, and Career Questions Answered By Seasoned Tech Professionals: Ask Jordan and Joe questions or submit comments to be read and answered during our show: https://buff.ly/3UlZGyi⏰ Time Codes:00:00 - Introduction and Welcome00:15 - Joe Ternasky's Coffee Preferences01:33 - Martín Tripiana's Background and Transition from Physics to AI02:11 - The Role of AI in Abbey AI and Healthcare03:56 - Martín's Journey from CERN to Abbey AI06:16 - Transitioning from Academic Research to Industry08:53 - Meeting Kim and Starting at Abbey AI11:01 - Expansion and Evolution of Abbey AI's Services13:16 - Impact of ChatGPT and Open Source Models on Abbey AI16:30 - Advice on Integrating AI into Business20:13 - Enhancing Doctor-Patient Interactions with AI23:33 - The Happiness of AI in Healthcare26:17 - Federated Learning and Its Impact on Healthcare29:33 - How Abbey AI Balances AI Assistance and Medical Expertise32:10 - Feedback and Impact on Doctors' Workflows34:20 - Staying Ahead with Open Source AI Models in Healthcare37:10 - Recruiting Physics Experts to Enhance AI Development38:12 - The Future of Multimodal AI in Medicine and Precision Healthcare40:00 - The Promise of Federated Learning for Medical Data Privacy and Collaboration41:49 - Excitement about Physics Developments: The Next Big Collider📚 Research Papers Mentionedbuff.ly/45tK7Xo supporters can gain access to our summaries and practical business implications of the research papers and other blog posts and book recommendations here: https://buff.ly/496c49O. The research papers are added a few times a week!🏷️ Hashtags#AI #medicine #healthcare #medicalresearch #machinelearning #openai https://buff.ly/3SSMFuY

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Great insights about using AI for good in healthcare.

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During a recent generative AI Prompt-a-Thon held by NYU Langone Health, teams of clinicians, educators and researchers worked together to find AI-powered solutions to health care challenges using real-world, de-identified patient data."Beyond engaging a larger segment of our workforce in generative AI, we also felt such an in-person event mixing different specialties, roles and experiences could create those novel ideas and relationships that drive innovation: a true community of learning."This event instantly reminded me of Infoway's Projectathon, which took place earlier this year. Just as the Prompt-a-Thon gathered experts from different disciplines to achieve a common goal, our Projectathon convened public and private sector implementers to demonstrate live interoperability capability of solutions in conformance with pan-Canadian specifications.Collaborative events such as Prompt-a-Thons, Connectatons and Projectatons can play an important role in convening stakeholders to find solutions to pressing health care challenges. I look forward to seeing more of these events and the innovative solutions that come from them.https://lnkd.in/gUzx7W6P#AI #Interoperability #Projectathon

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The use of Artificial Intelligence (#AI) and Machine Learning (#ML) models for #drugdevelopment, #clinicaltrials, #diseasedetection, #clinicaldecisionmaking and other #healthcare functions holds tremendous promise - or peril. #TrustworthyAI standards and principles are just emerging, and opportunities for standardized performance validation and ongoing monitoring of algorithm effectiveness, including across different population subgroups and social determinants of health (#SDOH) remain scarce, in particular for models that are not within oversight of FDA, the , or other regulatory agencies. Interesting new article in JAMA, Journal of the American Medical Association, making the case for a nationwide network of health AI assurance labs to evaluate models using nationwide standards and best practices, taking voluntary frameworks such as those created by the Coalition for Health AI (CHAI) to the next level. (At least one of) the questions will be whether (or how) such a network can keep pace with the sheer development speed and diversity of AI models in healthcare.

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The Code Principles provide touchstones around which health AI governance—facilitative and precautionary—can be shaped, tested, validated, and continually improved as technology, governance capability, and insights advance.https://lnkd.in/dhhjiX-Y

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