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 601–650 of 714 papers

TitleStatusHype
ChatGPT and post-test probability—0
Chromosome Segmentation Analysis Using Image Processing Techniques and Autoencoders—0
Classification with Rejection Based on Cost-sensitive Classification—0
Cloud-Magnetic Resonance Imaging System: In the Era of 6G and Artificial Intelligence—0
COGNET-MD, an evaluation framework and dataset for Large Language Model benchmarks in the medical domain—0
Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the signs of COVID-19 in chest CT scans—0
Comparison of Two Augmentation Methods in Improving Detection Accuracy of Hemarthrosis—0
Comparisons among different stochastic selection of activation layers for convolutional neural networks for healthcare—0
Computer Aided ECG Analysis - State of the Art and Upcoming Challenges—0
Consecutive Knowledge Meta-Adaptation Learning for Unsupervised Medical Diagnosis—0
Consistent Counterfactuals for Deep Models—0
Constrained Active Classification Using Partially Observable Markov Decision Processes—0
Construction of neural networks for realization of localized deep learning—0
ContrastDiagnosis: Enhancing Interpretability in Lung Nodule Diagnosis Using Contrastive Learning—0
Convolutional Neural Networks for Medical Diagnosis from Admission Notes—0
Convolutional Neural Network to Restore Low-Dose Digital Breast Tomosynthesis Projections in a Variance Stabilization Domain—0
CORD19STS: COVID-19 Semantic Textual Similarity Dataset—0
Crafting Adversarial Examples For Speech Paralinguistics Applications—0
Creating Scalable AGI: the Open General Intelligence Framework—0
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks—0
CT-image Super Resolution Using 3D Convolutional Neural Network—0
Transforming Multidimensional Time Series into Interpretable Event Sequences for Advanced Data Mining—0
Data Obfuscation through Latent Space Projection (LSP) for Privacy-Preserving AI Governance: Case Studies in Medical Diagnosis and Finance Fraud Detection—0
Decision Theoretic Foundations for Conformal Prediction: Optimal Uncertainty Quantification for Risk-Averse Agents—0
Deep Labeling of fMRI Brain Networks Using Cloud Based Processing—0
Deep learning-based holographic polarization microscopy—0
Deep learning trends for focal brain pathology segmentation in MRI—0
Deeply-Supervised Density Regression for Automatic Cell Counting in Microscopy Images—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
Deep Ultrasound Denoising Using Diffusion Probabilistic Models—0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising—0
Dependency Decomposition and a Reject Option for Explainable Models—0
Detecting OODs as datapoints with High Uncertainty—0
Developing ChatGPT for Biology and Medicine: A Complete Review of Biomedical Question Answering—0
Diagnosis-oriented Medical Image Compression with Efficient Transfer Learning—0
Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis—0
Dialogue Inspectional Summarization with Factual Inconsistency Awareness—0
Differentially Private and Fair Classification via Calibrated Functional Mechanism—0
Differentially private training of neural networks with Langevin dynamics for calibrated predictive uncertainty—0
Discovering heterogeneous subpopulations for fine-grained analysis of opioid use and opioid use disorders—0
Discovering, Learning and Exploiting Relevance—0
Discovery of Important Subsequences in Electrocardiogram Beats Using the Nearest Neighbour Algorithm—0
Discrete Simulation Optimization for Tuning Machine Learning Method Hyperparameters—0
Disease Labeling via Machine Learning is NOT quite the same as Medical Diagnosis—0
Distributed Learning via Filtered Hyperinterpolation on Manifolds—0
Distributed Revision of Belief Commitment in Multi-Hypothesis Interpretations—0
DiversityMedQA: Assessing Demographic Biases in Medical Diagnosis using Large Language Models—0
Double-Linear Thompson Sampling for Context-Attentive Bandits—0
Dr. GPT Will See You Now, but Should It? Exploring the Benefits and Harms of Large Language Models in Medical Diagnosis using Crowdsourced Clinical Cases—0
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators—0
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Benchmark Results

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