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 251–300 of 714 papers

TitleStatusHype
Early Detection of Parkinson Disease using Deep Neural Networks on Gait Dynamics—0
Pinball-OCSVM for early-stage COVID-19 diagnosis with limited posteroanterior chest X-ray images—0
Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm—0
ECG Segmentation using a Neural Network as the Basis for Detection of Cardiac Pathologies—0
Automated recognition of the pericardium contour on processed CT images using genetic algorithms—0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
Discovering, Learning and Exploiting Relevance—0
Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders—0
Comparison of algorithms in Foreign Exchange Rate Prediction—0
Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty—0
Differentially Private and Fair Classification via Calibrated Functional Mechanism—0
Automated Optical Reading of Scanned ECGs—0
Analysis of Macula on Color Fundus Images Using Heightmap Reconstruction Through Deep Learning—0
Dialogue Inspectional Summarization with Factual Inconsistency Awareness—0
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis—0
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning—0
Automated hypothesis generation via Evolutionary Abduction—0
An Advanced NLP Framework for Automated Medical Diagnosis with DeBERTa and Dynamic Contextual Positional Gating—0
Advantages and a Limitation of Using LEG Nets in a Real-TIme Problem—0
Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented Generation—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
Detecting OODs as datapoints with High Uncertainty—0
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review—0
Automated Blood Cell Detection and Counting via Deep Learning for Microfluidic Point-of-Care Medical Devices—0
Dependency Decomposition and a Reject Option for Explainable Models—0
A Universal Deep Learning Framework for Real-Time Denoising of Ultrasound Images—0
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images—0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising—0
Multimodal Audio-based Disease Prediction with Transformer-based Hierarchical Fusion Network—0
Deep Ultrasound Denoising Using Diffusion Probabilistic Models—0
Atypical Facial Landmark Localisation with Stacked Hourglass Networks: A Study on 3D Facial Modelling for Medical Diagnosis—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
A Model for Medical Diagnosis Based on Plantar Pressure—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images—0
A metrological framework for uncertainty evaluation in machine learning classification models—0
Deep learning trends for focal brain pathology segmentation in MRI—0
Attention-based Efficient Classification for 3D MRI Image of Alzheimer's Disease—0
Deep learning-based holographic polarization microscopy—0
A Medical Pre-Diagnosis System for Histopathological Image of Breast Cancer—0
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading—0
Deep Labeling of fMRI Brain Networks Using Cloud Based Processing—0
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning—0
Ambiguity-Driven Fuzzy C-Means Clustering: How to Detect Uncertain Clustered Records—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining—0
Asymmetric error control under imperfect supervision: a label-noise-adjusted Neyman-Pearson umbrella algorithm—0
CT-image Super Resolution Using 3D Convolutional Neural Network—0
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Benchmark Results

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