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 26–50 of 714 papers

TitleStatusHype
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