PROGRESS THROUGH ARTIFICIAL INTELLIGENCE ISICEM-44 (2025)
What do we want the machine to learn? Edward Schenck Challenges of moving from predictive to actionable AI Matthieu Komorowski Beyond ChatGPT: making large language models work for you Paul Elbers How it will improve clinical practice and research Sharon Einav How to create an effective intelligent clinical decision support tool Michael R Pinsky Your ICU can become a clinical AI validation center Paul Elbers Are the models ready for prime time? Leo Anthony Celi How to evaluate health information technologies and AI algorithms. Vitaly Herasevich When is validation sufficient for clinical use? Geert Meyfroidt Making digital work: safe implementation of new technologies in the ICU Ari Ercole
What do we want the machine to learn? Edward Schenck Challenges of moving from predictive to actionable AI Matthieu Komorowski Beyond ChatGPT: making large language models work for you Paul Elbers How it will improve clinical practice and research Sharon Einav How to create an effective intelligent clinical decision support tool Michael R Pinsky Your ICU can become a clinical AI validation center Paul Elbers Are the models ready for prime time? Leo Anthony Celi How to evaluate health information technologies and AI algorithms. Vitaly Herasevich When is validation sufficient for clinical use? Geert Meyfroidt Making digital work: safe implementation of new technologies in the ICU Ari Ercole