Tag: AI in Healthcare
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Interpretable Multimodal Depression Detection Using LLMs
Discover a dynamic framework using large language models for accurate, interpretable multimodal depression detection and severity assessment.
Trustworthy Clinical Diagnosis with Toulmin-Guided Learning
Enhance clinical diagnostic reasoning using Toulmin-guided Curriculum Goal-Conditioned Learning for transparent, reliable AI in healthcare.
Biomedical Data Policy to Boost AI & Healthcare in India
Proposed biomedical data policy framework to reduce fragmentation, improve quality, and promote sharing in Indian healthcare with AI and digital health.
Camyla: Autonomous Medical Image Segmentation Research
Discover Camyla, an autonomous system revolutionizing medical image segmentation with over 2,700 models and 40 manuscripts in 28 days.
Top 10 AI Trends Shaping 2026 and Beyond
Discover the top 10 AI trends transforming industries in 2026, from generative AI to ethics, healthcare, climate action, and more.