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 501–525 of 714 papers

TitleStatusHype
Accountable Off-Policy Evaluation With Kernel Bellman Statistics—0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
A Comprehensive Study on the Applications of Machine Learning for the Medical Diagnosis and Prognosis of Asthma—0
A Comprehensive Survey on Architectural Advances in Deep CNNs: Challenges, Applications, and Emerging Research Directions—0
A Comprehensive Survey on the Risks and Limitations of Concept-based Models—0
A Constrained Optimization approach for Ultrasound Shear Wave Speed Estimation with Time-Lateral Plane Cleaning—0
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications—0
Active Training of Physics-Informed Neural Networks to Aggregate and Interpolate Parametric Solutions to the Navier-Stokes Equations—0
Adapting to Label Shift with Bias-Corrected Calibration—0
Adaptive Temperature Scaling for Robust Calibration of Deep Neural Networks—0
Addressing the Real-world Class Imbalance Problem in Dermatology—0
A Deep Learning Approach for Diabetic Retinopathy detection using Transfer Learning—0
A Deep Learning Interpretable Classifier for Diabetic Retinopathy Disease Grading—0
Advancing Diagnostic Precision: Leveraging Machine Learning Techniques for Accurate Detection of Covid-19, Pneumonia, and Tuberculosis in Chest X-Ray Images—0
Advantages and a Limitation of Using LEG Nets in a Real-TIme Problem—0
Adversarial Encoder-Multi-Task-Decoder for Multi-Stage Processes—0
Adversarial Examples: Opportunities and Challenges—0
Adversarial Prompt Distillation for Vision-Language Models—0
Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation—0
A Framework for Uncertainty Quantification Based on Nearest Neighbors Across Layers—0
A Fuzzy Inference System for the Identification—0
Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis—0
Agentic Large Language Models, a survey—0
Aiding Medical Diagnosis Through the Application of Graph Neural Networks to Functional MRI Scans—0
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking—0
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Benchmark Results

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