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Session Introduction: AI and Machine Learning in Clinical Medicine: Generative and Interactive Systems at the
Fateme Nateghi Haredasht1, Dokyoon Kim2, Joseph D Romano3
1Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, USA, fnateghi@stanford.edu.
Abstract:
Artificial Intelligence (AI) technologies are increasingly capable of processing complex and multilayered datasets. Innovations in generative AI and deep learning have notably enhanced the extraction of insights from both unstructured texts, images, and structured data alike. These breakthroughs in AI technology have spurred a wave of research in the medical field, leading to the creation of a variety of tools aimed at improving clinical decision-making, patient monitoring, image analysis, and emergency response systems. However, thorough research is essential to fully understand the broader impact and potential consequences of deploying AI within the healthcare sector.
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