Tina Tan’s Post

Verification of Gen AI in Clinical Decision-Making At Healthcare CoPilot, we’re thrilled about the potential of generative AI to aid in clinical decision-making. However, these technologies are unsafe without the correct supporting knowledge architecture and verification approaches. Over 75% of our efforts are focused on verifying the performance and safety of LEO, our AI agent, and we are continually seeking opportunities to improve. A recent find by our Clinical Evaluation team for ISO13485 has been incorporated into our QMS. Bragazzi, N. L., & Garbarino, S. (2024). Toward Clinical Generative AI: Conceptual Framework. JMIR AI, 3, e55957. doi: 10.2196/55957 advocates for a “clinically explainable, fair, and responsible clinician-, expert-, and patient-in-the-loop AI.” This means AI will serve as a transparent and ethical augmentative tool to clinicians, not a replacement. #MoveFastButDontBreakAnything #HealthcareInnovation #GenerativeAI #ClinicalDecisionMaking #PatientCare #AIinHealthcare #LEObyHealthcareCoPilot Microsoft for Startups Microsoft for Healthcare William Maw Robert Smith Mary Willhoeft Steve Boam Ian Smith Darren Jones Sally Ann Frank

Embracing the Healthcare Revolution: AI's Unprecedented Impact The transformational power of AI and digital tech in healthcare is unprecedented. It's reshaping the entire value chain, surpassing any prior industry developments. The present moment showcases the immense potential already harnessed and hints at what's yet to come. Witnessing AI's prowess in action within healthcare is awe-inspiring. Its current implementations are just the tip of the iceberg. The next decade holds the key to a future where AI's role will define healthcare's trajectory. Today's actions are shaping tomorrow's healthcare landscape. Let's navigate this pivotal era together, where every innovation today molds the future of healthcare. Join the conversation on the profound impact and boundless possibilities AI brings to our industry! #HealthcareInnovation #FutureofHealthcare #AIinHealthcare

TGIF! How do you envision AI shaping the future of patient-provider communications in healthcare? It's here and it's happening. 😊 Take a look at the learnings from #MAPSPR24 and how Symbiotix can help you leverage AI to power your medical communications. #AI # ArtificialIntelligence #HealthcareInnovation #FutureofMedicalAffairs #JoinTheMovement

The #MAPSPR24 meeting had several sessions on artificial intelligence (AI) and concluded with a panel highlighting the transformative potential of AI in the medical field. As we embark on this journey, it's essential to recognize the ethical, regulatory, and societal implications of AI in Medical Affairs (MA). Collaboration between industry stakeholders, policymakers, and healthcare professionals is paramount to harnessing AI's full potential and ensuring data is leveraged in an appropriate and unbiased way. Creating distinctive pilots in AI is crucial to lay the foundation for successful implementation and increased productivity. Anticipating imperfection is key. It allows organizations to identify challenges, refine strategies before scaling, and foster a culture of continuous improvement. This approach instills confidence and paves the way for successful AI deployments. The future of AI in MA is bright, brimming with opportunities to redefine healthcare delivery, empower patients, and drive scientific innovation. Let's embrace this paradigm shift with optimism, curiosity, and a commitment to harnessing technology for the betterment of global health. Together, we can shape a future where AI serves as a catalyst for positive change in the MA world! What challenges do you foresee in implementing AI solutions in medical affairs? How can these challenges be addressed? #AI #ArtificialIntelligence #HealthcareInnovation #FutureofMedicalAffairs #MAPSPR24 #JoinTheMovement

🌐🔬 Reflecting on 'Data Workshop: Unlocking AI for Healthcare Transformation' at Nortal🌐🔬 Last week, I had the privilege of attending the 'Data Workshop: Unlocking AI for Healthcare Transformation' organized by Tehnopol HealthTech and Nortal. One of the standout speakers was Kertti Merimaa, Product Manager at Nortal, who shared her vision for the future of hospital information systems. 🔑 Key Takeaways from Kertti's Talk: 1️⃣ Patient-First Approach: The future of healthcare will pivot from being doctor-centric to patient-centric. 2️⃣ Evidence-Based Decision Making: Using #data and #AI as new collaboration tools to unify everyone around the same information field. 3️⃣ Preventive Measures: Shifting focus to prevention and delivering services where patients are, not just where hospitals are located. A question I often encounter about Nora AI is how ready people are for such innovative futures. Kertti's response, citing Estonia's e-prescription system, was super! The system minimizes direct interaction with technology itself, making it user-friendly and efficient. 💡This conversation resonated deeply with me. At Nora AI, we're developing a #drugdiscovery platform that aims to empower scientists globally. But how open are scientists to embracing this cutting-edge technology? Will they fear AI replacing them? My belief is firm: #AI can never replace the human touch. Nora is designed to enhance and unleash the true potential of #scientists, not to work in isolation. We're combining Nora's artificial intelligence with the power of the human brain to revolutionize drug discovery🤖🧠. As we move forward, it's not about AI replacing humans; it's about AI and humans working in synergy to achieve greater heights in #healthcare. #Tehnopol #Nortal #HealthcareInnovation #AI #DrugDiscovery #NoraAI #FutureOfHealthcare

Meet the #GenAICare consortium: Unlocking the power of AI in healthcare There’s no doubt: Generative Artificial Intelligence (AI) is improving our lives faster than any new technology before it. These AI tools became widely available only 20 months ago, and already we see that their potential is practically limitless. One of the most promising sectors is healthcare, where AI is even now being used to improve patient care, streamline clinical processes, and help healthcare professionals throughout the day – by reducing their admin burden and giving them the data and insights they need for better patient outcomes. To unlock the full transformative potential of AI-powered healthcare innovation, Microsoft is partnering with lifescience company #TeamBayer and healthcare professionals from across Europe to form the #GenAICare consortium. Together, we will help medical professionals to make best use of the power of AI – safely and responsibly. Together, we will accelerate the development of precision health and create a more efficient, personalised and patient-centric healthcare system.

https://lnkd.in/ga6VcZ7v AI builds momentum for smarter health care “All of these drugs fail due to certain reasons—they do not meet the criteria that we expected them to meet along some points in that clinical trial cycle,” he says. “What if we could identify them earlier, without having to go through multiple phases of clinical trials and then discover, ‘Hey, that doesn’t work.’” The speed and accuracy of AI can give researchers the ability to quickly identify what will work and what will not, Gopal says. “That’s where the large AI computational models could help predict properties of molecules to a high level of accuracy—to discover molecules that might not otherwise be considered, and to weed out those molecules that, we’ve seen, eventually do not succeed,” he says. Download the full report. This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. Read the full article: https://lnkd.in/gQyC4YVN

Experts weigh in: How enterprise-grade AI can unlock better patient + provider experiences — Wednesday, August 30th, 2023 | 12:00 PM - 1:00 PM CT Artificial intelligence has become a catch-all term in healthcare innovation, but as leaders face ongoing challenges in staffing, efficiency and finances, they're working to discern the best use cases for this technology and what's possible to scale. Join this live session with science and technology experts, who will discuss the possibilities of enterprise-grade AI, machine learning and accelerated computing for healthcare, as well as how these tools can unlock tangible impact for hospitals and health systems like improved patient and provider experiences.  You'll learn: · Examples of enterprise grade AI ready for deployment today, including Generative AI · The latest in responsible use of AI in healthcare + the unique role that enterprise-grade infrastructure will play · How technology is revolutionizing oncology care. Come Join us. Register Now. https://lnkd.in/gY3CaTcF

🥧📅 It's Pi Day, and while we celebrate this fascinating mathematical constant, it's a reminder of how the principles of precision and innovation it represents are transforming healthcare through AI. Just as pi allows us to calculate the circumference of a circle with remarkable accuracy, AI algorithms are enabling us to analyze vast amounts of medical data to uncover insights that could revolutionize patient care. From predicting disease risk factors to personalizing treatment plans, the potential applications of AI in healthcare are extensive. 📊🔍 However, as we continue to explore these possibilities, it's crucial to ensure that AI technologies are developed and deployed responsibly, keeping the needs of patients at the forefront. On this Pi Day, let's acknowledge the incredible potential of AI to advance healthcare innovation and work together to build a future where data-driven insights empower us to improve patient outcomes. How are you leveraging AI in your healthcare projects or organizations? Share your experiences and thoughts in the comments. #PiDay #AIinHealthcare #InnovationInMedicine #DataDrivenHealthcare #PrecisionMedicine #HealthTech #FutureOfMedicine

Everyone nods in agreement about how AI can revolutionise healthcare but few will admit that they don't understand how it works. And here's the snag - if you don't understand how that algorithm came up with its conclusions and decisions, how much trust can you put in its accuracy? And in healthcare, where wrong information and wrong decisions can have fatal consequences, it is no wonder uptake of AI isn't as widespread as it should be. Ensuring you adhere to processes and techniques that result in explainable AI is critical in healthcare - whether that AI is deployed in drug discovery and development or deployed in treatment decision-making systems in clinic. What are the best practices for developing and implementing explainable AI? How do you ensure the AI models you're building are transparent, interpretable and accountable? What are the unintended consequences or risks of an opaque AI black box system, for pharma companies and for healthcare providers and how can explainable AI mitigate this? These are just a few key questions my two expert panellists - Andreas Kraemer and Anil Jain, both former IBM'ers! - will be answering in our live online event next Wednesday, May 29, 10amEST [free to register]. It should be a corker of a discussion. https://lnkd.in/eb4vhe8E #explainableAI #generativeAI #medicalAI #techbio #AIfordrugdiscovery #computationalbiology #healthAI #clinicalAI