SOTAVerified

Medical Diagnosis

Medical Diagnosis is the process of identifying the disease a patient is affected by, based on the assessment of specific risk factors, signs, symptoms and results of exams.

Source: A probabilistic network for the diagnosis of acute cardiopulmonary diseases

Papers

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Showing 1–25 of 714 papers

TitleStatusHype
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain KnowledgeCode4
Reasoning with Language Model Prompting: A SurveyCode3
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual LearningCode3
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-MakingCode3
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language ModelsCode2
A Comprehensive Survey on Evidential Deep Learning and Its ApplicationsCode2
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixCode2
MedCalc-Bench: Evaluating Large Language Models for Medical CalculationsCode2
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
MedViT: A Robust Vision Transformer for Generalized Medical Image ClassificationCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
CoD, Towards an Interpretable Medical Agent using Chain of DiagnosisCode2
MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic WorkflowCode2
MedPromptX: Grounded Multimodal Prompting for Chest X-ray DiagnosisCode2
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language ModelsCode2
Evaluating AI systems under uncertain ground truth: a case study in dermatologyCode2
A Survey of Reasoning with Foundation ModelsCode2
Large AI Models in Health Informatics: Applications, Challenges, and the FutureCode2
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
CardioLab: Laboratory Values Estimation and Monitoring from Electrocardiogram Signals -- A Multimodal Deep Learning ApproachCode1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge IntegrationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DenseNet-161Average Precision0.74—Unverified