Explainable AI in Biomedical Applications: Vision, Framework, Anxieties, and Challenges
Explainable artificial intelligence (XAI) has emerged as a critical field in the biomedical
domain, offering insights into the decision-making process of complex AI models. The …
domain, offering insights into the decision-making process of complex AI models. The …
Mechatronic System for the Detection and Monitoring of Arterial Hypertension: An Innovative Tool in Health Care
AS Torres-Calle, JP Nuñez-Capcha… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
High blood pressure (HBP) is a globally significant health condition that affects a large
number of people worldwide. This study presents an innovative approach for the early …
number of people worldwide. This study presents an innovative approach for the early …
Prediction of pulmonary arterial hypertension from HRCT chest in post-COVID patients using double attention U-NeT model
There is an unusual spike in the number of cardiac attacks POST COVID-19 worldwide,
leading to sudden deaths. The virus's effect on the heart can be due to direct viral invasion …
leading to sudden deaths. The virus's effect on the heart can be due to direct viral invasion …
An optimized CNN-based model for pneumonia detection
S Sharma, S Seth, FR Lone… - … Generation Computing and …, 2024 - books.google.com
Convolutional Neural Networks (CNNs) are a breakthrough paradigm shift in medical
imaging and diagnostic approaches that can be used to detect pneumonia. CNNs have …
imaging and diagnostic approaches that can be used to detect pneumonia. CNNs have …