Amar Drawid, Ph.D.

👉🏼 ChatGPT and retinal disease: a cross-sectional study on AI comprehension of clinical guidelines 🤓 Michael Balas 👇🏻 https://lnkd.in/exN8AyjC 🔍 Focus on data insights: - 📊 ChatGPT achieved an impressive average score of 4.9/5.0 in alignment with AAO PPP guidelines, indicating strong performance in understanding clinical protocols. - 🏥 The evaluation covered 130 questions across 12 domains, showcasing the breadth of topics addressed in retinal disease management. - 📉 Variability in scores was noted, particularly lower performance in surgical management, suggesting areas for improvement in AI training. 💡 Main outcomes and implications: - 🤖 The study highlights the potential of AI, specifically ChatGPT, to assist in generating guideline-concordant responses for common medical retinal diseases. - 🔍 Identified errors in diagnostic criteria and treatment options emphasize the need for continuous refinement of AI models to enhance accuracy. - 📚 The findings suggest that while AI can support clinical decision-making, clinician oversight remains essential, especially in complex surgical scenarios. 📚 Field significance: - 🌐 This research contributes to the growing body of evidence supporting the integration of AI in healthcare, particularly in ophthalmology. - 🧠 It underscores the importance of interdisciplinary collaboration between AI developers and medical professionals to ensure effective application in clinical settings. - 📈 The results may influence future AI training methodologies, focusing on improving comprehensibility and accuracy in specialized medical fields. 🗄️: [#AI #retinaldisease #clinicalguidelines #ChatGPT #ophthalmology #medicalAI #surgicalmanagement #healthcareinnovation]

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As we venture deeper into the 21st century, the promise of AI-driven healthcare and personalized education is becoming more tangible. The vision proposed by Vinod Khosla - 24/7 medical assistance and custom tutoring for every child in the US - has profound implications for both our health and education infrastructures. #AI #Healthcare #Education However, it's essential to bear in mind that while this concept is intriguing, there are still considerable hurdles to overcome. As we stand on the cusp of this revolution, a key question arises: Are we ready to entrust our medical needs and educational growth to artificial intelligence? While some may be hesitant about embracing AI in healthcare, its potential role as an educational tutor seems more universally accepted. This dichotomy underlines the need for a thoughtful discussion about how best to integrate these technologies into our daily lives. #AIRevolution #FutureOfHealthcare #InnovationInEducation

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Dr. Tanaka and colleagues have published an interesting article in our journal: "Clarifying Causal Effects of Interest and Underlying Assumptions in Randomized and Nonrandomized Clinical Trials in Oncology Using Directed Acyclic Graphs and Single-World Intervention Graphs" https://lnkd.in/etTmTqJ5 Check it out!

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