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
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoostCode1
Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction TaskCode1
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and ClassificationCode1
Differences between human and machine perception in medical diagnosisCode1
SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical ImagingCode1
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-AnsweringCode1
An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency departmentCode1
Towards Calibrated Robust Fine-Tuning of Vision-Language ModelsCode1
Transfer Learning with Deep Tabular ModelsCode1
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial NetworksCode1
Electrical Impedance Tomography: A Fair Comparative Study on Deep Learning and Analytic-based ApproachesCode1
Deep learning in magnetic resonance prostate segmentation: A review and a new perspectiveCode1
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
Deep Reinforcement Learning for Cost-Effective Medical DiagnosisCode1
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
CheXclusion: Fairness gaps in deep chest X-ray classifiersCode1
Clinically-Inspired Multi-Agent Transformers for Disease Trajectory Forecasting from Multimodal DataCode1
An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localizationCode1
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
Conditional-Flow NeRF: Accurate 3D Modelling with Reliable Uncertainty QuantificationCode1
Cross-modal Memory Networks for Radiology Report GenerationCode1
DDXPlus: A New Dataset For Automatic Medical DiagnosisCode1
Deep learning for photoacoustic imaging: a surveyCode1
Demystifying Brain Tumour Segmentation Networks: Interpretability and Uncertainty AnalysisCode1
Detecting Anomalies within Time Series using Local Neural TransformationsCode1
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis PredictionCode1
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion ModelsCode1
CardioLab: Laboratory Values Estimation and Monitoring from Electrocardiogram Signals -- A Multimodal Deep Learning ApproachCode1
Clinical Outcome Prediction from Admission Notes using Self-Supervised Knowledge IntegrationCode1
Evaluating the feasibility of using Generative Models to generate Chest X-Ray DataCode1
Expectation Maximization with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
BMAD: Benchmarks for Medical Anomaly DetectionCode1
Exploring Endogenous Shift for Cross-Domain Detection: A Large-Scale Benchmark and Perturbation Suppression NetworkCode1
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI SegmentationCode1
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor DetectionCode1
BreastScreening: On the Use of Multi-Modality in Medical Imaging DiagnosisCode1
A Two-Stage Generative Model with CycleGAN and Joint Diffusion for MRI-based Brain Tumor DetectionCode1
Belief in the Machine: Investigating Epistemological Blind Spots of Language ModelsCode1
Maximum Likelihood with Bias-Corrected Calibration is Hard-To-Beat at Label Shift AdaptationCode1
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
MRD-RAG: Enhancing Medical Diagnosis with Multi-Round Retrieval-Augmented GenerationCode1
MedCaseReasoning: Evaluating and learning diagnostic reasoning from clinical case reportsCode1
Automated Model Design and Benchmarking of 3D Deep Learning Models for COVID-19 Detection with Chest CT ScansCode1
MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architecturesCode1
Multi-task Heterogeneous Graph Learning on Electronic Health RecordsCode1
"My nose is running.""Are you also coughing?": Building A Medical Diagnosis Agent with Interpretable Inquiry LogicsCode1
Pathological Evidence Exploration in Deep Retinal Image DiagnosisCode1
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer DiagnosisCode1
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Benchmark Results

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