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 151–175 of 714 papers

TitleStatusHype
An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating—0
Protecting Intellectual Property of EEG-based Neural Networks with WatermarkingCode0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
Long-tailed Medical Diagnosis with Relation-aware Representation Learning and Iterative Classifier CalibrationCode0
JingFang: A Traditional Chinese Medicine Large Language Model of Expert-Level Medical Diagnosis and Syndrome Differentiation-Based Treatment—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
VerteNet -- A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA ImagesCode0
Fairshare Data Pricing via Data Valuation for Large Language Models—0
Towards Explainable Multimodal Depression Recognition for Clinical InterviewsCode0
A deep architecture based on attention mechanisms for effective end-to-end detection of early and mature malaria parasites in a realistic scenarioCode0
Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations—0
Enhancing Fetal Plane Classification Accuracy with Data Augmentation Using Diffusion Models—0
Unfolding Tensors to Identify the Graph in Discrete Latent Bipartite Graphical Models—0
Multimodal Marvels of Deep Learning in Medical Diagnosis: A Comprehensive Review of COVID-19 DetectionCode0
Leveraging Scale-aware Representations for improved Concept-Representation Alignment in ViTs—0
A 65 nm Bayesian Neural Network Accelerator with 360 fJ/Sample In-Word GRNG for AI Uncertainty Estimation—0
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets—0
Multi-modal Medical Diagnosis via Large-small Model Collaboration—0
Asymmetrical Reciprocity-based Federated Learning for Resolving Disparities in Medical DiagnosisCode0
Optimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)—0
An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling—0
KG4Diagnosis: A Hierarchical Multi-Agent LLM Framework with Knowledge Graph Enhancement for Medical Diagnosis—0
NoteContrast: Contrastive Language-Diagnostic Pretraining for Medical TextCode0
Of Dice and Games: A Theory of Generalized Boosting—0
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty EstimationCode0
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Benchmark Results

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