AI for Reliability of Medical Literature - Pitch Day - School of AI Session 14

Pi School and Library Med are pleased to announce significant progress in enhancing the reliability of medical literature through the integration of human expertise and artificial intelligence. The efforts of our Session 14 fellows from the Pi School of AI - Kuntal Pal, Arkaprava Majumdar, and Mabel Ubong - have been central to this achievement. Their specialized knowledge in physics, NLP, ML, and computational biology has been crucial in addressing the challenge posed by Library Med to analyze scientific and medical literature effectively, thus ensuring the provision of trustworthy and reliable AI-driven insights for students, teachers, researchers, and medical professionals. Discover how we made it by watching Mabel's pitch.
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