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 151–200 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
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
An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling—0
Optimization of Convolutional Neural Network Hyperparameter for Medical Image Diagnosis using Metaheuristic Algorithms: A short Recent Review (2019-2022)—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
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
Leapfrog Latent Consistency Model (LLCM) for Medical Images GenerationCode0
Adversarial Prompt Distillation for Vision-Language Models—0
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
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
Manifold-Aware Local Feature Modeling for Semi-Supervised Medical Image SegmentationCode0
Towards Calibrated Losses for Adversarial Robust Reject Option ClassificationCode0
Text Classification using Graph Convolutional Networks: A Comprehensive Survey—0
Multimodal Audio-based Disease Prediction with Transformer-based Hierarchical Fusion Network—0
From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction TuningCode0
Applying Quantum Autoencoders for Time Series Anomaly Detection—0
Metasurface-generated large and arbitrary analog convolution kernels for accelerated machine vision—0
CBIDR: A novel method for information retrieval combining image and data by means of TOPSIS applied to medical diagnosis—0
Gradient Boosting Decision Trees on Medical Diagnosis over Tabular DataCode0
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining—0
Selecting a classification performance measure: matching the measure to the problem—0
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Benchmark Results

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