Precision medicine, AI, and the future of personalized health care

KB Johnson, WQ Wei, D Weeraratne… - Clinical and …, 2021 - Wiley Online Library
The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …

Smart technologies used as smart tools in the management of cardiovascular disease and their future perspective

M Ullah, S Hamayun, A Wahab, SU Khan… - Current Problems in …, 2023 - Elsevier
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide. The
advent of smart technologies has significantly impacted the management of CVD, offering …

Multimodal deep learning models for early detection of Alzheimer's disease stage

J Venugopalan, L Tong, HR Hassanzadeh… - Scientific reports, 2021 - nature.com
Most current Alzheimer's disease (AD) and mild cognitive disorders (MCI) studies use single
data modality to make predictions such as AD stages. The fusion of multiple data modalities …

The 'Digital Twin'to enable the vision of precision cardiology

J Corral-Acero, F Margara, M Marciniak… - European heart …, 2020 - academic.oup.com
Providing therapies tailored to each patient is the vision of precision medicine, enabled by
the increasing ability to capture extensive data about individual patients. In this position …

Use of artificial intelligence in improving outcomes in heart disease: a scientific statement from the American Heart Association

AA Armoundas, SM Narayan, DK Arnett… - Circulation, 2024 - ahajournals.org
A major focus of academia, industry, and global governmental agencies is to develop and
apply artificial intelligence and other advanced analytical tools to transform health care …

[HTML][HTML] Map** ICD-10 and ICD-10-CM codes to phecodes: workflow development and initial evaluation

P Wu, A Gifford, X Meng, X Li, H Campbell… - JMIR medical …, 2019 - medinform.jmir.org
Background: The phecode system was built upon the International Classification of
Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association …

Use of multi-modal data and machine learning to improve cardiovascular disease care

S Amal, L Safarnejad, JA Omiye, I Ghanzouri… - Frontiers in …, 2022 - frontiersin.org
Today's digital health revolution aims to improve the efficiency of healthcare delivery and
make care more personalized and timely. Sources of data for digital health tools include …

An improved framework for reliable cardiovascular disease prediction using hybrid ensemble learning

T Mahmud, A Barua, M Begum… - 2023 International …, 2023 - ieeexplore.ieee.org
Cardiovascular diseases (CVDs), which include heart disorders, are the most prevalent and
significant causes of death worldwide, including Bangladesh. Blood artery problems, rhythm …

Machine and deep learning for longitudinal biomedical data: a review of methods and applications

A Cascarano, J Mur-Petit… - Artificial Intelligence …, 2023 - Springer
Exploiting existing longitudinal data cohorts can bring enormous benefits to the medical
field, as many diseases have a complex and multi-factorial time-course, and start to develop …

Data-driven personal thermal comfort prediction: A literature review

Y Feng, S Liu, J Wang, J Yang, YL Jao… - … and Sustainable Energy …, 2022 - Elsevier
Personal thermal comfort prediction modeling has become a trending topic in efforts to
improve individual indoor comfort, a notion that is closely related to the design and …