May 14, 2024, 4:47 a.m. | Hong-Yu Zhou, Subathra Adithan, Juli\'an Nicol\'as Acosta, Eric J. Topol, Pranav Rajpurkar

cs.CV updates on

arXiv:2405.07988v1 Announce Type: new
Abstract: Current medical artificial intelligence systems are often limited to narrow applications, hindering their widespread adoption in clinical practice. To address this limitation, we propose MedVersa, a generalist learner that enables flexible learning and tasking for medical image interpretation. By leveraging a large language model as a learnable orchestrator, MedVersa can learn from both visual and linguistic supervision, support multimodal inputs, and perform real-time task specification. This versatility allows MedVersa to adapt to various clinical scenarios …

abstract adoption applications artificial artificial intelligence arxiv clinical current image intelligence interpretation language language model large language large language model medical medical artificial intelligence narrow practice systems type

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