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 351–375 of 714 papers

TitleStatusHype
Statistical Test for Anomaly Detections by Variational Auto-Encoders—0
Stochastic Sequential Neural Networks with Structured Inference—0
StrokeSave: A Novel, High-Performance Mobile Application for Stroke Diagnosis using Deep Learning and Computer Vision—0
StudyFormer : Attention-Based and Dynamic Multi View Classifier for X-ray images—0
Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis—0
A Two-step Surface-based 3D Deep Learning Pipeline for Segmentation of Intracranial Aneurysms—0
TAD: Trigger Approximation based Black-box Trojan Detection for AI—0
Taming Stable Diffusion for Computed Tomography Blind Super-Resolution—0
TEAM PILOT -- Learned Feasible Extendable Set of Dynamic MRI Acquisition Trajectories—0
Technical Challenges for Training Fair Neural Networks—0
Testing Machine Translation via Referential Transparency—0
Test Set Selection using Active Information Acquisition for Predictive Models—0
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination—0
Text Classification using Graph Convolutional Networks: A Comprehensive Survey—0
Texture-Aware StarGAN for CT data harmonisation—0
The Continuity of Images by Transmission Imaging Revisited—0
The Reliability of LLMs for Medical Diagnosis: An Examination of Consistency, Manipulation, and Contextual Awareness—0
The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?—0
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review—0
The SP Theory of Intelligence as a Foundation for the Development of a General, Human-Level Thinking Machine—0
The SP theory of intelligence: benefits and applications—0
Two-stage deep learning framework for the restoration of incomplete-ring PET images—0
The Utility of Abstaining in Binary Classification—0
The Value of Context: Human versus Black Box Evaluators—0
Tiny Deep Ensemble: Uncertainty Estimation in Edge AI Accelerators via Ensembling Normalization Layers with Shared Weights—0
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Benchmark Results

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