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 351–400 of 714 papers

TitleStatusHype
Stable Vision Concept Transformers for Medical Diagnosis—0
Stacked Autoencoders for Medical Image Search—0
Statistical reproducibility of meta-analysis research claims for medical mask use in community settings to prevent COVID infection—0
Statistical Test for Anomaly Detections by Variational Auto-Encoders—0
Stochastic Sequential Neural Networks with Structured Inference—0
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision—0
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images—0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis—0
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms—0
TAD: Trigger Approximation based Black-box Trojan Detection for AI—0
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution—0
TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories—0
Technical Challenges for Training Fair Neural Networks—0
Testing Machine Translation via Referential Transparency—0
Test Set Selection using Active Information Acquisition for Predictive Models—0
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination—0
Text Classification using Graph Convolutional Networks: A Comprehensive Survey—0
Texture-Aware StarGAN for CT data harmonisation—0
The Continuity of Images by Transmission Imaging Revisited—0
The Reliability of LLMs for Medical Diagnosis: An Examination of Consistency, Manipulation, and Contextual Awareness—0
The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?—0
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review—0
The SP Theory of Intelligence as a Foundation for the Development of a General, Human-Level Thinking Machine—0
The SP theory of intelligence: benefits and applications—0
Two-stage deep learning framework for the restoration of incomplete-ring PET images—0
The Utility of Abstaining in Binary Classification—0
The Value of Context: Human versus Black Box Evaluators—0
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights—0
Tipping the Scales: A Corpus-Based Reconstruction of Adjective Scales in the McGill Pain Questionnaire—0
Toward a Fairness-Aware Scoring System for Algorithmic Decision-Making—0
Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm—0
Towards CT-quality Ultrasound Imaging using Deep Learning—0
Towards new forms of particle sensing and manipulation and 3D imaging on a smartphone for healthcare applications—0
Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems—0
Towards Reducing Aleatoric Uncertainty for Medical Imaging Tasks—0
Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization—0
Uncertainty-aware abstention in medical diagnosis based on medical texts—0
Uncertainty-Aware Deep Learning for Automated Skin Cancer Classification: A Comprehensive Evaluation—0
Uncertainty Estimation and Out-of-Distribution Detection for Counterfactual Explanations: Pitfalls and Solutions—0
Uncertainty-Estimation with Normalized Logits for Out-of-Distribution Detection—0
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI—0
Uncertainty Quantification of Deep Learning for Spatiotemporal Data: Challenges and Opportunities—0
Understanding and Enhancing Robustness of Concept-based Models—0
Understanding differences in applying DETR to natural and medical images—0
Unfolding Tensors to Identify the Graph in Discrete Latent Bipartite Graphical Models—0
Unimodal-uniform Constrained Wasserstein Training for Medical Diagnosis—0
Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing—0
Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation—0
Unsupervised Learning of Noisy-Or Bayesian Networks—0
Unsupervised Online Feature Selection for Cost-Sensitive Medical Diagnosis—0
Show:102550
← PrevPage 8 of 15Next →

Benchmark Results

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