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 451–500 of 714 papers

TitleStatusHype
Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model—0
Identifying the Context Shift between Test Benchmarks and Production Data—0
Image Processing on IOPA Radiographs: A comprehensive case study on Apical Periodontitis—0
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules—0
Improve Uncertainty Estimation for Unknown Classes in Bayesian Neural Networks with Semi-Supervised /One Set Classification—0
Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning—0
Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units—0
Improving the Ability of Deep Neural Networks to Use Information From Multiple Views in Breast Cancer Screening—0
Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation—0
Incremental Topic-Based Translation Model Adaptation for Conversational Spoken Language Translation—0
Induction and Uncertainty Management Techniques Applied to Veterinary Medical Diagnosis—0
Information Extraction from German Patient Records via Hybrid Parsing and Relation Extraction Strategies—0
Instance-wise or Class-wise? A Tale of Neighbor Shapley for Concept-based Explanation—0
Interpretable Hybrid-Rule Temporal Point Processes—0
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care—0
Interpretation of Brain Morphology in Association to Alzheimer's Disease Dementia Classification Using Graph Convolutional Networks on Triangulated Meshes—0
Introduction and Exemplars of Uncertainty Decomposition—0
JingFang: A Traditional Chinese Medicine Large Language Model of Expert-Level Medical Diagnosis and Syndrome Differentiation-Based Treatment—0
Jury Learning: Integrating Dissenting Voices into Machine Learning Models—0
Justifying Diagnosis Decisions by Deep Neural Networks—0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis—0
Knowledge-Aware Deep Dual Networks for Text-Based Mortality Prediction—0
Large Language Models in Biomedical and Health Informatics: A Review with Bibliometric Analysis—0
Learning and inference in knowledge-based probabilistic model for medical diagnosis—0
Learning Anthropometry from Rendered Humans—0
Learning Fair Scoring Functions: Bipartite Ranking under ROC-based Fairness Constraints—0
Learning from Positive and Unlabeled Data under the Selected At Random Assumption—0
Learning from the experts: From expert systems to machine-learned diagnosis models—0
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis—0
Learning Relaxation for Multigrid—0
Learning to Complement Humans—0
Learning to Decode 7T-like MR Image Reconstruction from 3T MR Images—0
Learning To Guide Human Decision Makers With Vision-Language Models—0
Learning to Guide Human Experts via Personalized Large Language Models—0
Leveraging Online Shopping Behaviors as a Proxy for Personal Lifestyle Choices: New Insights into Chronic Disease Prevention Literacy—0
Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs—0
Linear classifier design under heteroscedasticity in Linear Discriminant Analysis—0
LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation—0
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study—0
Lightweight, error-tolerant edge detection using memristor-enabled stochastic logics—0
Low-Cost Device Prototype for Automatic Medical Diagnosis Using Deep Learning Methods—0
M2D: A Multi-modal Framework for Automatic Medical Diagnosis—0
M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation—0
MA^2: A Self-Supervised and Motion Augmenting Autoencoder for Gait-Based Automatic Disease Detection—0
MACD R-CNN: An Abnormal Cell Nucleus Detection Method—0
Machine Learning and the Future of Realism—0
Machine Learning Approaches for Binary Classification to Discover Liver Diseases using Clinical Data—0
Machine Learning Classifications of Coronary Artery Disease—0
Machine Learning Driven Biomarker Selection for Medical Diagnosis—0
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Benchmark Results

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