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 51–100 of 714 papers

TitleStatusHype
A Novel Retinal Image Contrast Enhancement -- Fuzzy-Based Method—0
Uncertainty-aware abstention in medical diagnosis based on medical texts—0
Improving Interactive Diagnostic Ability of a Large Language Model Agent Through Clinical Experience Learning—0
Random Projections and Natural Sparsity in Time-Series Classification: A Theoretical Analysis—0
Benchmarking Automatic Speech Recognition coupled LLM Modules for Medical Diagnostics—0
Fragility-aware Classification for Understanding Risk and Improving Generalization—0
HistoSmith: Single-Stage Histology Image-Label Generation via Conditional Latent Diffusion for Enhanced Cell Segmentation and ClassificationCode1
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
Multi-modal Medical Diagnosis via Large-small Model Collaboration—0
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets—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
AD-LLM: Benchmarking Large Language Models for Anomaly DetectionCode1
Of Dice and Games: A Theory of Generalized Boosting—0
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty EstimationCode0
SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders—0
The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?—0
Why the Agent Made that Decision: Explaining Deep Reinforcement Learning with Vision Masks—0
Creating Scalable AGI: the Open General Intelligence Framework—0
Adversarial Prompt Distillation for Vision-Language Models—0
CardioLab: Laboratory Values Estimation and Monitoring from Electrocardiogram Signals -- A Multimodal Deep Learning ApproachCode1
Leapfrog Latent Consistency Model (LLCM) for Medical Images GenerationCode0
Arctique: An artificial histopathological dataset unifying realism and controllability for uncertainty quantificationCode1
Aligning Characteristic Descriptors with Images for Human-Expert-like Explainability—0
MA^2: A Self-Supervised and Motion Augmenting Autoencoder for Gait-Based Automatic Disease Detection—0
Belief in the Machine: Investigating Epistemological Blind Spots of Language ModelsCode1
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
Domain-Adaptive Pre-training of Self-Supervised Foundation Models for Medical Image Classification in Gastrointestinal EndoscopyCode0
Random Token Fusion for Multi-View Medical Diagnosis—0
MoRE: Multi-Modal Contrastive Pre-training with Transformers on X-Rays, ECGs, and Diagnostic ReportCode0
MMDS: A Multimodal Medical Diagnosis System Integrating Image Analysis and Knowledge-based Departmental Consultation—0
Generative Conformal Prediction with Vectorized Non-Conformity Scores—0
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Benchmark Results

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