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 1–50 of 714 papers

TitleStatusHype
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain KnowledgeCode4
MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-MakingCode3
INP-Former++: Advancing Universal Anomaly Detection via Intrinsic Normal Prototypes and Residual LearningCode3
Reasoning with Language Model Prompting: A SurveyCode3
A Comprehensive Survey on Evidential Deep Learning and Its ApplicationsCode2
MedPromptX: Grounded Multimodal Prompting for Chest X-ray DiagnosisCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
CoD, Towards an Interpretable Medical Agent using Chain of DiagnosisCode2
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language ModelsCode2
MedAgent-Pro: Towards Evidence-based Multi-modal Medical Diagnosis via Reasoning Agentic WorkflowCode2
Large AI Models in Health Informatics: Applications, Challenges, and the FutureCode2
GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist CollaborationCode2
BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pixCode2
A Survey of Reasoning with Foundation ModelsCode2
Evaluating AI systems under uncertain ground truth: a case study in dermatologyCode2
MedCalc-Bench: Evaluating Large Language Models for Medical CalculationsCode2
MedViT: A Robust Vision Transformer for Generalized Medical Image ClassificationCode2
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language ModelsCode2
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression NetworkCode1
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge IntegrationCode1
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image AnalysisCode1
Expectation Maximization with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
Evaluating the feasibility of using Generative Models to generate Chest X-Ray DataCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based ApproachesCode1
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and ClassificationCode1
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT ScansCode1
BMAD: Benchmarks for Medical Anomaly DetectionCode1
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion ModelsCode1
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty AnalysisCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
A Benchmark of Medical Out of Distribution DetectionCode1
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
Belief in the Machine: Investigating Epistemological Blind Spots of Language ModelsCode1
Deep Reinforcement Learning for Cost-Effective Medical DiagnosisCode1
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor DetectionCode1
A Lung Nodule Dataset with Histopathology-based Cancer Type AnnotationCode1
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
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
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
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Benchmark Results

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