Artificial intelligence (AI) and internet of medical things (IoMT) assisted biomedical systems for intelligent healthcare
P Manickam, SA Mariappan, SM Murugesan, S Hansda… - Biosensors, 2022 - mdpi.com
Artificial intelligence (AI) is a modern approach based on computer science that develops
programs and algorithms to make devices intelligent and efficient for performing tasks that …
programs and algorithms to make devices intelligent and efficient for performing tasks that …
Artificial intelligence in the diagnosis and management of arrhythmias
VD Nagarajan, SL Lee, JL Robertus… - European heart …, 2021 - academic.oup.com
The field of cardiac electrophysiology (EP) had adopted simple artificial intelligence (AI)
methodologies for decades. Recent renewed interest in deep learning techniques has …
methodologies for decades. Recent renewed interest in deep learning techniques has …
Multi-centre, multi-vendor and multi-disease cardiac segmentation: the M&Ms challenge
The emergence of deep learning has considerably advanced the state-of-the-art in cardiac
magnetic resonance (CMR) segmentation. Many techniques have been proposed over the …
magnetic resonance (CMR) segmentation. Many techniques have been proposed over the …
An integrated machine learning framework for effective prediction of cardiovascular diseases
Cardiovascular diseases are considered as the most life-threatening syndromes with the
highest mortality rate globally. Over a period of time, they have become very common and …
highest mortality rate globally. Over a period of time, they have become very common and …
FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging
The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …
of data generated by today's clinical systems, has led to the development of imaging AI …
[HTML][HTML] Towards using cough for respiratory disease diagnosis by leveraging Artificial Intelligence: A survey
Cough acoustics contain multitudes of vital information about pathomorphological
alterations in the respiratory system. Reliable and accurate detection of cough events by …
alterations in the respiratory system. Reliable and accurate detection of cough events by …
Federated learning for multi-center imaging diagnostics: a simulation study in cardiovascular disease
Deep learning models can enable accurate and efficient disease diagnosis, but have thus
far been hampered by the data scarcity present in the medical world. Automated diagnosis …
far been hampered by the data scarcity present in the medical world. Automated diagnosis …
Machine learning techniques in adaptive and personalized systems for health and wellness
Traditional health systems mostly rely on rules created by experts to offer adaptive
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
interventions to patients. However, with recent advances in artificial intelligence (AI) and …
Artificial intelligence (AI) and cardiovascular diseases: an unexpected alliance
S Romiti, M Vinciguerra, W Saade… - Cardiology …, 2020 - Wiley Online Library
Cardiovascular disease (CVD), despite the significant advances in the diagnosis and
treatments, still represents the leading cause of morbidity and mortality worldwide. In order …
treatments, still represents the leading cause of morbidity and mortality worldwide. In order …
Hemodynamic modeling, medical imaging, and machine learning and their applications to cardiovascular interventions
Cardiovascular disease is a deadly global health crisis that carries a substantial financial
burden. Innovative treatment and management of cardiovascular disease straddles …
burden. Innovative treatment and management of cardiovascular disease straddles …