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 326–350 of 714 papers

TitleStatusHype
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