Analysis of Learned Feature Similarities to Diagnostic Criteria in Deep Learning-Based 12-Lead ECG Classification

Information Science, Artificial Intelligence, Medicine, Medical Imaging, Cardiovascular System,
deep learning   ECG   explainable AI   feature attribution   atrial fibrillation   left bundle branch block   biosignal processing  

Interpretability Research of Deep Learning in Automated ECG Diagnosis —— Progress Overview Based on Explainable AI 1. Academic Background and Problem Statement Electrocardiogram (ECG) is an important physiological signal acquisition method for clinical diagnosis of heart diseases, with a history of over a hundred years. In recent years, with the ra...

End-to-End Prediction of Knee Osteoarthritis Progression with Multimodal Transformers

Information Science, Artificial Intelligence, Medicine, Orthopedics, Medical Imaging, Sports Medicine,
knee osteoarthritis   magnetic resonance imaging   multimodal fusion   progression prediction   deep learning   medical imaging   transformer model  

End-to-end Prediction of Knee Osteoarthritis Progression Using Multimodal Transformers I. Academic Background Knee osteoarthritis (KOA) is a chronic musculoskeletal disease that affects hundreds of millions of people worldwide. Due to gradual degeneration of articular cartilage and bone, KOA typically leads to chronic pain, joint stiffness, and fun...

AI-Enhanced Lung Cancer Prediction: A Hybrid Model's Precision Triumph

Information Science, Computer Science, Artificial Intelligence, Medicine, Respiratory System, Medical Imaging, Oncology,
lung cancer   deep learning   convolutional neural network   bidirectional long short-term memory network   text classification   natural language processing   precision medicine  

Background Introduction Lung cancer, as one of the most prevalent and deadly malignant tumors worldwide, continues to pose many challenges in modern healthcare. According to literature statistics, the five-year survival rate for lung cancer patients is extremely low, consistently ranking it among the top three causes of cancer death globally. Due t...

A Fresh Perspective on Deep Learning for Medical Time-Series Imputation

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging,
deep learning   medical time series   data imputation   electronic health records   inductive bias   missing data   benchmarking  

A New Perspective on Deep Learning for Medical Time-Series Imputation — An Interpretation of the Review “How Deep Is Your Guess? A Fresh Perspective on Deep Learning for Medical Time-Series Imputation” 1. Academic Background and Research Motivation With the ongoing development of healthcare informatization, Electronic Health Records (EHRs) have bec...

Randomized Explainable Machine Learning Models for Efficient Medical Diagnosis

Information Science, Computer Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Urology, Nephrology, Medical Imaging, Oncology, Cardiovascular System,
medical diagnosis   randomized models   explainable artificial intelligence   extreme learning machines   random vector functional link   big data   deep learning  

New Breakthrough in Intelligent Medical Diagnosis: Randomized Explainable Machine Learning Models Drive Efficient Medical Diagnostics I. Academic Background and Research Motivation In recent years, Deep Learning (DL) models have played a crucial role in the field of healthcare. By processing vast amounts of medical data, DL significantly improves t...