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Precision medicine, AI, and the future of personalized health care
The convergence of artificial intelligence (AI) and precision medicine promises to
revolutionize health care. Precision medicine methods identify phenotypes of patients with …
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
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 …
advent of smart technologies has significantly impacted the management of CVD, offering …
Multimodal deep learning models for early detection of Alzheimer's disease stage
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 …
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 …
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
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 …
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
Background: The phecode system was built upon the International Classification of
Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) for phenome-wide association …
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
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 …
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
Cardiovascular diseases (CVDs), which include heart disorders, are the most prevalent and
significant causes of death worldwide, including Bangladesh. Blood artery problems, rhythm …
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 …
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
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 …
improve individual indoor comfort, a notion that is closely related to the design and …