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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 714 papers

TitleStatusHype
Using Experience Classification for Training Non-Markovian Tasks—0
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence—0
k-t CLAIR: Self-Consistency Guided Multi-Prior Learning for Dynamic Parallel MR Image ReconstructionCode1
Convolutional Neural Network Model for Diabetic Retinopathy Feature Extraction and ClassificationCode0
Can GPT-4V(ision) Serve Medical Applications? Case Studies on GPT-4V for Multimodal Medical DiagnosisCode1
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis PredictionCode1
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images—0
FairTune: Optimizing Parameter Efficient Fine Tuning for Fairness in Medical Image AnalysisCode1
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseCode0
Wav2vec-based Detection and Severity Level Classification of Dysarthria from Speech—0
BGF-YOLO: Enhanced YOLOv8 with Multiscale Attentional Feature Fusion for Brain Tumor DetectionCode1
When to Trust AI: Advances and Challenges for Certification of Neural Networks—0
Multi-level feature fusion network combining attention mechanisms for polyp segmentation—0
Optimizing Audio Augmentations for Contrastive Learning of Health-Related Acoustic Signals—0
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care—0
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object DetectionCode0
ReFuSeg: Regularized Multi-Modal Fusion for Precise Brain Tumour Segmentation—0
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural ImagesCode1
LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation—0
Learning to Guide Human Experts via Personalized Large Language Models—0
A sparse coding approach to inverse problems with application to microwave tomography—0
RCS-YOLO: A Fast and High-Accuracy Object Detector for Brain Tumor DetectionCode1
Defocus Blur Synthesis and Deblurring via Interpolation and Extrapolation in Latent SpaceCode0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database—0
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI ReconstructionCode0
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Benchmark Results

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