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 51–100 of 714 papers

TitleStatusHype
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis PredictionCode1
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-AnsweringCode1
Task-driven Semantic Coding via Reinforcement LearningCode1
Prediction of Clinical Risk Factors of Diabetes Using Multiple Machine Learning Techniques Resolving Class ImbalanceCode1
Learning Optimal Conformal ClassifiersCode1
Transformer Uncertainty Estimation with Hierarchical Stochastic AttentionCode1
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentCode1
Key Patches Are All You Need: A Multiple Instance Learning Framework For Robust Medical DiagnosisCode1
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and ClassificationCode1
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
k-t CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image ReconstructionCode1
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
How Well Does GPT-4V(ision) Adapt to Distribution Shifts? A Preliminary InvestigationCode1
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction TaskCode1
MAM: Modular Multi-Agent Framework for Multi-Modal Medical Diagnosis via Role-Specialized CollaborationCode1
Belief in the Machine: Investigating Epistemological Blind Spots of Language ModelsCode1
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor DetectionCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
CardioLab: Laboratory Values Estimation and Monitoring from Electrocardiogram Signals -- A Multimodal Deep Learning ApproachCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression NetworkCode1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image AnalysisCode1
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT ScansCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
BMAD: Benchmarks for Medical Anomaly DetectionCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
Explainable Deep Learning Methods in Medical Image Classification: A SurveyCode1
Explainable Diabetic Retinopathy Detection and Retinal Image GenerationCode1
Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal ClassificationCode1
Multi-task Heterogeneous Graph Learning on Electronic Health RecordsCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
Cross-modal Memory Networks for Radiology Report GenerationCode1
Patch2Self: Denoising Diffusion MRI with Self-Supervised LearningCode1
DDXPlus: A New Dataset For Automatic Medical DiagnosisCode1
A Lung Nodule Dataset with Histopathology-based Cancer Type AnnotationCode1
Deep learning for photoacoustic imaging: a surveyCode1
Differences between human and machine perception in medical diagnosisCode1
Deep Reinforcement Learning for Cost-Effective Medical DiagnosisCode1
MBCT: Tree-Based Feature-Aware Binning for Individual Uncertainty CalibrationCode1
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty AnalysisCode1
RareBench: Can LLMs Serve as Rare Diseases Specialists?Code1
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer DiagnosisCode1
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Benchmark Results

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