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 301–350 of 714 papers

TitleStatusHype
Fairness-aware Model-agnostic Positive and Unlabeled Learning—0
Fairshare Data Pricing via Data Valuation for Large Language Models—0
Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey—0
Evaluation of Joint Multi-Instance Multi-Label Learning For Breast Cancer Diagnosis—0
Calibration Regularized Training of Deep Neural Networks using Kernel Density Estimation—0
Feature Selection based on PCA and PSO for Multimodal Medical Image Fusion using DTCWT—0
Feature selection for medical diagnosis: Evaluation for using a hybrid Stacked-Genetic approach in the diagnosis of heart disease—0
Federated learning: Applications, challenges and future directions—0
Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations—0
Few-shot Backdoor Defense Using Shapley Estimation—0
Annotation of negation in the IULA Spanish Clinical Record Corpus—0
First to Possess His Statistics: Data-Free Model Extraction Attack on Tabular Data—0
Classification with Rejection Based on Cost-sensitive Classification—0
Fragility-aware Classification for Understanding Risk and Improving Generalization—0
Evaluating LLM -- Generated Multimodal Diagnosis from Medical Images and Symptom Analysis—0
Framework Construction of an Adversarial Federated Transfer Learning Classifier—0
A Fuzzy Inference System for the Identification—0
Interpretable Medical Imagery Diagnosis with Self-Attentive Transformers: A Review of Explainable AI for Health Care—0
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning—0
Fuzzy expert system for prediction of prostate cancer—0
An Intrinsically Explainable Approach to Detecting Vertebral Compression Fractures in CT Scans via Neurosymbolic Modeling—0
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks—0
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels—0
GenSample: A Genetic Algorithm for Oversampling in Imbalanced Datasets—0
Get your Foes Fooled: Proximal Gradient Split Learning for Defense against Model Inversion Attacks on IoMT data—0
Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features—0
Incorporating Medical Knowledge to Transformer-based Language Models for Medical Dialogue Generation—0
Estimation with Uncertainty via Conditional Generative Adversarial Networks—0
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future—0
AI-Enhanced Virtual Reality in Medicine: A Comprehensive Survey—0
HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis—0
Hardware Acceleration of Sparse and Irregular Tensor Computations of ML Models: A Survey and Insights—0
Harnessing Explanations to Bridge AI and Humans—0
Hear Your Code Fail, Voice-Assisted Debugging for Python—0
Estimation of atrial fibrillation from lead-I ECGs: Comparison with cardiologists and machine learning model (CurAlive), a clinical validation study—0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database—0
High Accuracy Pulmonary Vessel Segmentation for Contrast and Non-contrast CT Images and Clinical Evaluation—0
Computer Aided ECG Analysis - State of the Art and Upcoming Challenges—0
A Simple Approximation Algorithm for Optimal Decision Tree—0
Estimating Uncertainty Online Against an Adversary—0
ESAD: End-to-end Deep Semi-supervised Anomaly Detection—0
Bridging the inference gap in Mutimodal Variational Autoencoders—0
Human-Expert-Level Brain Tumor Detection Using Deep Learning with Data Distillation and Augmentation—0
Identification and Visualization of the Underlying Independent Causes of the Diagnostic of Diabetic Retinopathy made by a Deep Learning Classifier—0
Identification of Cognitive Decline from Spoken Language through Feature Selection and the Bag of Acoustic Words Model—0
Identifying the Context Shift between Test Benchmarks and Production Data—0
Image Processing on IOPA Radiographs: A comprehensive case study on Apical Periodontitis—0
IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules—0
Improve Uncertainty Estimation for Unknown Classes in Bayesian Neural Networks with Semi-Supervised /One Set Classification—0
Ensemble model for pre-discharge icd10 coding prediction—0
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Benchmark Results

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