PathNavigate introduces a scan-search-readout routine with surprise-guided low-mag scanning and shared slide memory to improve training-free WSI-VQA accuracy and efficiency.
Chatcad: Interac- tive computer-aided diagnosis on medical image using large language models
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PMC-VQA dataset and MedVInT model achieve better generative performance on medical VQA benchmarks by visual instruction tuning on a newly constructed large-scale dataset.
Echo-α integrates organ-specific detectors with global visual context via an invoke-and-reason agentic loop, trained on a nine-task curriculum plus sequential RL, to achieve superior grounding (56.73%/43.78% F1@0.5) and diagnosis (74.90%/49.20% accuracy) on cross-center renal and breast ultrasound.
A review summarizing LLM applications for diagnostics and treatment in oncology, dermatology, dentistry, neurodegenerative disorders, and mental health, plus integration challenges.
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PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide Image VQA
PathNavigate introduces a scan-search-readout routine with surprise-guided low-mag scanning and shared slide memory to improve training-free WSI-VQA accuracy and efficiency.
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PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
PMC-VQA dataset and MedVInT model achieve better generative performance on medical VQA benchmarks by visual instruction tuning on a newly constructed large-scale dataset.
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Echo-{\alpha}: Large Agentic Multimodal Reasoning Model for Ultrasound Interpretation
Echo-α integrates organ-specific detectors with global visual context via an invoke-and-reason agentic loop, trained on a nine-task curriculum plus sequential RL, to achieve superior grounding (56.73%/43.78% F1@0.5) and diagnosis (74.90%/49.20% accuracy) on cross-center renal and breast ultrasound.
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LLMs-Healthcare : Current Applications and Challenges of Large Language Models in various Medical Specialties
A review summarizing LLM applications for diagnostics and treatment in oncology, dermatology, dentistry, neurodegenerative disorders, and mental health, plus integration challenges.