The following article is curated and summarized by ChatGPT: UK researchers have developed Foresight, an AI tool that creates "digital twins" of patients from their electronic health records to predict future health outcomes and treatment responses. Foresight, using a GPT-based model, can simulate various treatment paths and their potential effectiveness. It performed with high accuracy in trials, forecasting potential disorders and medical events. Despite challenges in data dependency and model refinement, the study, published in The Lancet Digital Health, demonstrates AI's growing role in enhancing healthcare by outlining Foresight's potential for personalized treatment planning. #GenerativeAI #DigitalTwinsInHealthcare #PredictiveMedicalAI #PersonalizedTreatmentAI Read the full article: https://lnkd.in/dp35mpWW
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postgraduateeducation.hms.harvard.edu
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Some doctors are using public AI chatbots in clinical decisions. Is it safe? - Atropos Health
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The article discusses the potential of AI to address healthcare's data challenges while highlighting the current limitations and pitfalls. Despite the influx of AI solutions in healthcare, many fail to deliver meaningful results, often amounting to little more than chatbots with high price tags. While AI shows promise in reducing administrative burdens and improving value-based care, its application in direct patient care remains problematic. For instance, ChatGPT incorrectly diagnosed 83% of pediatric cases in a recent study. The healthcare industry's move towards value-based care necessitates managing vast amounts of data, leading to increased administrative costs. AI could help reduce these costs and improve data management. However, challenges remain, including the need for high data fidelity, interoperability between disparate systems, and the ability to handle unstructured data. The author emphasizes that while AI can augment human work, it cannot replace human interaction and clinical evaluation in healthcare. https://lnkd.in/e5kcx8d6 #healthcare #healthcareinnovation #healthcareit #healthcareai #ai #genai #generativeai #llm #bigdata #ml #healthcaredata #ehr #emr #PatientEngagement #HealthcareCosts
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AI in Healthcare: Predicting Your Future Health with Digital Twins! The future of healthcare is here! Researchers have developed an AI tool called Foresight that creates digital twins of patients to predict their health outcomes. 🩺 Imagine this: Every time you visit a doctor, your Electronic Health Record (EHR) gets updated. Foresight uses this data to create a digital copy of you, factoring in things like age, medical history, and test results. By analyzing tons of other patients' data, Foresight can then predict your risk of developing certain diseases and how you might respond to treatments. This is a game-changer for doctors! They can use Foresight to: Simulate multiple treatments: See how different treatments might affect your digital twin, helping them choose the best course of action for you. Predict future health issues: Catch diseases early on and take preventative measures. Provide more personalized care: Tailor treatment plans to your unique needs. This is just the beginning! AI has the potential to revolutionize healthcare and improve the lives of millions. #AI #Healthcare #DigitalTwins #PredictiveMedicine #FutureofHealth What are your thoughts on this groundbreaking technology? Let's discuss in the comments! For further information click on this link:https://lnkd.in/dG3Bfcv4
AI tool creates digital twins to predict future patient health | DailyAI
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