Sr. Analyst - Technology/IP Research & Advisory || Aranca || Eiffel Excellence Scholar || IIT-BHU Varanasi || University of Strasbourg
From a clinical standpoint, integrating AI into healthcare transcends mere technological progress; it profoundly amplifies the quality and availability of patient care while tackling worldwide health obstacles. This framework emphasizes not only AI's transformative capacity in healthcare but also the crucial need for thorough evaluation to ensure responsible realization of its potential.
This four-phase framework for AI system evaluation offers a comprehensive approach to assessing AI technologies in healthcare. It's designed to ensure that AI systems are safe, effective, and ethically sound. 1️⃣ Model design and purpose: This phase ensures the AI system is meticulously designed to meet specific healthcare challenges, seamlessly integrating into clinical workflows to enhance efficiency and patient care without disrupting existing processes. 2️⃣ Algorithmic validation: During this phase, the AI model undergoes rigorous testing against a wide array of datasets to assess its accuracy, reliability, and ability to generalize across diverse patient populations and settings, ensuring it performs consistently outside of its training environment. 3️⃣ Clinical validation: This critical phase involves conducting detailed clinical trials to rigorously evaluate the AI system's actual effectiveness and safety within a healthcare setting, ensuring it delivers measurable health benefits and improves patient outcomes. 4️⃣ Ongoing monitoring: Post-deployment, the AI system is continuously monitored to assess its performance in real-world clinical settings, ensuring it remains effective and safe over time, and making necessary adjustments based on evolving data and clinical practices. 🌐⇢ https://lnkd.in/d998MbmY 💡 From a clinical perspective, the deployment of AI in healthcare is not just about technological advancement; it's about significantly enhancing patient care quality and accessibility while addressing global health challenges. The outlined framework not only underscores the potential of AI to transform healthcare but also the importance of rigorous evaluation to realize this potential responsibly. ✅ Join our community of 29k curious minds! Subscribe to our newsletter for your front-row seat to the latest groundbreaking studies. Get started here: https://lnkd.in/eR7qichj.
