Towards Generalist Biomedical AI

• Main Authors: Tu, Tao, Azizi, Shekoofeh, Driess, Danny, Schaekermann, Mike, Amin, Mohamed, Chang, Pi-Chuan, Carroll, Andrew, Lau, Chuck, Tanno, Ryutaro, Ktena, Ira, Mustafa, Basil, Chowdhery, Aakanksha, Liu, Yun, Kornblith, Simon, Fleet, David, Mansfield, Philip, Prakash, Sushant, Wong, Renee, Virmani, Sunny, Semturs, Christopher, Mahdavi, S Sara, Green, Bradley, Dominowska, Ewa, Arcas, Blaise Aguera y, Barral, Joelle, Webster, Dale, Corrado, Greg S, Matias, Yossi, Singhal, Karan, Florence, Pete, Karthikesalingam, Alan, Natarajan, Vivek
• Format: Journal Article
• Language: English
• Published: 26.07.2023
• Subjects: Computer Science - Computation and Language; Computer Science - Computer Vision and Pattern Recognition

Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly encode, integrate, and interpret this data at scale can potentially enable impactful applications ranging from scientific...