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 126–150 of 714 papers

TitleStatusHype
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
CoD, Towards an Interpretable Medical Agent using Chain of DiagnosisCode2
Explainable AI for Enhancing Efficiency of DL-based Channel Estimation—0
RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language ModelsCode2
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-AnsweringCode1
A Lung Nodule Dataset with Histopathology-based Cancer Type AnnotationCode1
This actually looks like that: Proto-BagNets for local and global interpretability-by-designCode0
Enhancing Dropout-based Bayesian Neural Networks with Multi-Exit on FPGACode1
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
MedCalc-Bench: Evaluating Large Language Models for Medical CalculationsCode2
A lightweight residual network for unsupervised deformable image registration—0
SAM-LAD: Segment Anything Model Meets Zero-Shot Logic Anomaly Detection—0
Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQACode1
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
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion ModelsCode1
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Benchmark Results

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