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 201–250 of 714 papers

TitleStatusHype
TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories—0
Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis—0
Lagrange Duality and Compound Multi-Attention Transformer for Semi-Supervised Medical Image SegmentationCode0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review—0
A study on deep feature extraction to detect and classify Acute Lymphoblastic Leukemia (ALL)—0
Comparison of Two Augmentation Methods in Improving Detection Accuracy of Hemarthrosis—0
4D-CAT: Synthesis of 4D Coronary Artery Trees from Systole and Diastole—0
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models—0
Sequential-Scanning Dual-Energy CT Imaging Using High Temporal Resolution Image Reconstruction and Error-Compensated Material Basis Image Generation—0
Automated Optical Reading of Scanned ECGs—0
BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuningCode0
ACCELERATION: Sequentially-scanning DECT Imaging Using High Temporal Resolution Image Reconstruction And Temporal Extrapolation—0
Minimum Enclosing Ball Synthetic Minority Oversampling Technique from a Geometric Perspective—0
More Than Positive and Negative: Communicating Fine Granularity in Medical Diagnosis—0
A Constrained Optimization approach for Ultrasound Shear Wave Speed Estimation with Time-Lateral Plane Cleaning—0
Deep Bayesian segmentation for colon polyps: Well-calibrated predictions in medical imagingCode0
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
This actually looks like that: Proto-BagNets for local and global interpretability-by-designCode0
M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation—0
Online-Adaptive Anomaly Detection for Defect Identification in Aircraft Assembly—0
A lightweight residual network for unsupervised deformable image registration—0
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection—0
Sparsity- and Hybridity-Inspired Visual Parameter-Efficient Fine-Tuning for Medical Diagnosis—0
Understanding differences in applying DETR to natural and medical images—0
A Survey of Artificial Intelligence in Gait-Based Neurodegenerative Disease DiagnosisCode0
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain—0
Machine Learning Driven Biomarker Selection for Medical Diagnosis—0
Reimplementation of Learning to Reweight Examples for Robust Deep Learning—0
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis—0
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights—0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks—0
Enhancing Deep Learning Model Explainability in Brain Tumor Datasets using Post-Heuristic Approaches—0
ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference OptimizationCode0
Multimodal Fusion on Low-quality Data: A Comprehensive Survey—0
Taming False Positives in Out-of-Distribution Detection with Human FeedbackCode0
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution—0
CausalLP: Learning causal relations with weighted knowledge graph link predictionCode0
Nuclei Instance Segmentation of Cryosectioned H&E Stained Histological Images using Triple U-Net Architecture—0
Self-Supervised Learning Featuring Small-Scale Image Dataset for Treatable Retinal Diseases Classification—0
Comparison of algorithms in Foreign Exchange Rate Prediction—0
Conversational Disease Diagnosis via External Planner-Controlled Large Language ModelsCode0
Enhancing Interpretability of Vertebrae Fracture Grading using Human-interpretable Prototypes—0
SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks—0
Parallel Implementations Assessment of a Spatial-Spectral Classifier for Hyperspectral Clinical Applications—0
Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm—0
Learning To Guide Human Decision Makers With Vision-Language Models—0
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis—0
Enhancing Medical Support in the Arabic Language Through Personalized ChatGPT Assistance—0
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning—0
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Benchmark Results

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