Healthcare
PathoHR: Breast Cancer Survival Prediction on High-Resolution Pathological Images
·1466 words·7 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 XJLTU
PathoHR: Boost breast cancer survival prediction with high-resolution pathology images!
AgentRxiv: Towards Collaborative Autonomous Research
·1858 words·9 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 Johns Hopkins University
AgentRxiv enables collaborative autonomous research via LLM agent preprint sharing, boosting performance and discovery.
MedAgent-Pro: Towards Multi-modal Evidence-based Medical Diagnosis via Reasoning Agentic Workflow
·1815 words·9 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 National University of Singapore
MedAgent-Pro: An evidence-based reasoning agentic system for reliable multi-modal medical diagnosis.
AIMI: Leveraging Future Knowledge and Personalization in Sparse Event Forecasting for Treatment Adherence
·2151 words·11 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 Arizona State University
AIMI: A system leveraging future knowledge & personalized data for accurate treatment adherence forecasting, paving the way for timely mobile interventions.
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning
·2900 words·14 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 Yale University
MEDAGENTSBENCH: a new benchmark for assessing complex medical reasoning in LLMs, revealing performance gaps and cost-effective strategies.
Multi Agent based Medical Assistant for Edge Devices
·2191 words·11 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 Samsung Research
On-device multi-agent system overcomes privacy/latency issues in healthcare, enabling personalized, scalable AI assistance.
SPIDER: A Comprehensive Multi-Organ Supervised Pathology Dataset and Baseline Models
·2619 words·13 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 HistAI
SPIDER: A comprehensive pathology dataset boosts AI diagnostic models.
RuCCoD: Towards Automated ICD Coding in Russian
·4222 words·20 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 AIRI, Moscow, Russia
New dataset for automated ICD coding in Russian enhances clinical data accuracy.
Current Pathology Foundation Models are unrobust to Medical Center Differences
·2920 words·14 mins·
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AI Generated
🤗 Daily Papers
AI Applications
Healthcare
🏢 Netherlands Cancer Institute Amsterdam
Current pathology foundation models struggle with center variations; this paper introduces a robustness index to quantify this, revealing model biases and advancing robust model development.