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

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...

Estimation and Conformity Evaluation of Multi-Class Counterfactual Explanations for Chronic Disease Prevention

1. Academic Background and Research Motivation In recent years, Artificial Intelligence (AI) has made tremendous progress in healthcare. From initial uses in assisted diagnosis and risk prediction to the recommendation of personalized intervention plans, AI has become a critical tool for improving the quality and efficiency of medical services. How...

Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification

In recent years, due to the high incidence and lethality of brain tumors, rapid and accurate detection and classification of brain tumors have become particularly important. Brain tumors include both malignant and non-malignant types, and their abnormal growth can cause long-term damage to the brain. Magnetic Resonance Imaging (MRI) is a commonly u...