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

Showing 251–300 of 714 papers

TitleStatusHype
Adversarial Feature Map Pruning for BackdoorCode0
Neuron Sensitivity Guided Test Case Selection for Deep Learning Testing—0
Large Language Models Perform Diagnostic ReasoningCode0
Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations MethodsCode0
Analyzing the Impact of Adversarial Examples on Explainable Machine Learning—0
Learning Large Margin Sparse Embeddings for Open Set Medical Diagnosis—0
Evaluating AI systems under uncertain ground truth: a case study in dermatologyCode2
DeepMediX: A Deep Learning-Driven Resource-Efficient Medical Diagnosis Across the SpectrumCode0
CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin TransformerCode1
BMAD: Benchmarks for Medical Anomaly DetectionCode1
Deep Ultrasound Denoising Using Diffusion Probabilistic Models—0
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacyCode0
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations—0
Transferable Adversarial Robustness for Categorical Data via Universal Robust EmbeddingsCode0
Query Complexity of Active Learning for Function Family With Nearly Orthogonal Basis—0
Machine Unlearning: A Survey—0
Spatially Resolved Gene Expression Prediction from H&E Histology Images via Bi-modal Contrastive LearningCode1
Learning to solve Bayesian inverse problems: An amortized variational inference approach using Gaussian and Flow guidesCode0
Predicting Heart Disease and Reducing Survey Time Using Machine Learning Algorithms—0
Evaluating the feasibility of using Generative Models to generate Chest X-Ray DataCode1
Evolving Tsukamoto Neuro Fuzzy Model for Multiclass Covid 19 Classification with Chest X Ray Images—0
CB-HVTNet: A channel-boosted hybrid vision transformer network for lymphocyte assessment in histopathological images—0
Topological Interpretability for Deep-LearningCode0
eXplainable Artificial Intelligence on Medical Images: A Survey—0
Medical supervised masked autoencoders: Crafting a better masking strategy and efficient fine-tuning schedule for medical image classificationCode0
Degradation-Noise-Aware Deep Unfolding Transformer for Hyperspectral Image Denoising—0
Efficient Online Decision Tree Learning with Active Feature Acquisition—0
Efficient Uncertainty Estimation in Spiking Neural Networks via MC-dropout—0
Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration—0
D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators—0
MGMT promoter methylation status prediction using MRI scans? An extensive experimental evaluation of deep learning models—0
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions—0
Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing—0
Survey on Adversarial Attack and Defense for Medical Image Analysis: Methods and ChallengesCode0
ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain KnowledgeCode4
Xplainer: From X-Ray Observations to Explainable Zero-Shot DiagnosisCode1
TSI-GAN: Unsupervised Time Series Anomaly Detection using Convolutional Cycle-Consistent Generative Adversarial NetworksCode1
Large AI Models in Health Informatics: Applications, Challenges, and the FutureCode2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
Learning with Noisy Labels through Learnable Weighting and Centroid SimilarityCode0
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian InferenceCode0
Visual Analytics of Neuron Vulnerability to Adversarial Attacks on Convolutional Neural Networks—0
Unsupervised Deep Digital Staining For Microscopic Cell Images Via Knowledge Distillation—0
Spatio-Temporal Structure Consistency for Semi-supervised Medical Image Classification—0
NIPUNA: A Novel Optimizer Activation Function for Deep Neural Networks—0
A Survey on Uncertainty Quantification Methods for Deep Learning—0
Dermatological Diagnosis Explainability Benchmark for Convolutional Neural NetworksCode0
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images—0
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective—0
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes—0
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Benchmark Results

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