搜索医学 AI 论文与资源

ICLR 2026 Poster accepted paper at ICLR 2026. Diagnostic accuracy of ultrasound imaging is limited by qualitative variability and its reliance on the expertise of medical professionals. Such challenges increase demand for computer-aided diagnostic systems that enhance diagnostic accuracy and efficiency. However, the unique texture and structural attributes of ultrasound images, and the scarcity of large-scale ultrasound datasets hinder the effective application of conventional machine learning methodologies. To address the challenges, we propose Anatomy-aware Representation Learning (ARL), a novel self-supervised representation learning framework specifically designed for medical ultrasound imaging.

This Healthcare special issue focuses on artificial intelligence in public health, healthcare services, and management, including disease surveillance, outbreak prediction, GenAI in diagnostics, imaging and EHRs, patient engagement, and AI ethics and equity. The MDPI flyer lists a manuscript submission deadline of 2026-07-31.

This Diagnostics special issue calls for work on artificial intelligence for health and medicine, in a journal section focused on machine learning and AI in diagnostics. It is relevant to medical imaging, diagnostic pathology and radiology, digital health, rehabilitation, cybersecurity, patient safety, and clinical AI quality. The page lists a manuscript submission deadline of 2026-12-31.

FutureLearn's Artificial Intelligence for Healthcare course covers AI concepts, tools, ethics, diagnostics, patient care, operational efficiency, personalized medicine, and robotic surgery. The page lists 8 weeks at 2 hours per week and introductory level.