The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field

G Coorey, GA Figtree, DF Fletcher, VJ Snelson… - NPJ digital …, 2022 - nature.com
Potential benefits of precision medicine in cardiovascular disease (CVD) include more
accurate phenotyping of individual patients with the same condition or presentation, using …

[Retracted] Integration of Artificial Intelligence and Blockchain Technology in Healthcare and Agriculture

S Vyas, M Shabaz, P Pandit, LR Parvathy… - Journal of Food …, 2022 - Wiley Online Library
Over the last decade, the healthcare sector has accelerated its digitization and electronic
health records (EHRs). As information technology progresses, the notion of intelligent health …

Medical diagnosis using machine learning: a statistical review

KA Bhavsar, J Singla, YD Al-Otaibi… - Computers …, 2021 - e-space.mmu.ac.uk
Decision making in case of medical diagnosis is a complicated process. A large number of
overlapping structures and cases, and distractions, tiredness, and limitations with the human …

[HTML][HTML] Development and verification of a digital twin patient model to predict specific treatment response during the first 24 hours of sepsis

A Lal, G Li, E Cubro, S Chalmers, H Li… - Critical care …, 2020 - journals.lww.com
Objectives: To develop and verify a digital twin model of critically ill patient using the causal
artificial intelligence approach to predict the response to specific treatment during the first 24 …

[HTML][HTML] Using artificial intelligence in academic writing and research: An essential productivity tool

M Khalifa, M Albadawy - Computer Methods and Programs in Biomedicine …, 2024 - Elsevier
Background Academic writing is an essential component of research, characterized by
structured expression of ideas, data-driven arguments, and logical reasoning. However, it …

[HTML][HTML] Regulatory oversight and ethical concerns surrounding software as medical device (SaMD) and digital twin technology in healthcare

A Lal, J Dang, C Nabzdyk, O Gajic… - Annals of Translational …, 2022 - ncbi.nlm.nih.gov
© Annals of Translational Medicine. All rights reserved. Ann Transl Med 2022; 10 (18): 950|
https://dx. doi. org/10.21037/atm-22-4203 with a modifiable degree of fidelity for a richer …

Developing DELPHI expert consensus rules for a digital twin model of acute stroke care in the neuro critical care unit

J Dang, A Lal, A Montgomery, L Flurin, J Litell, O Gajic… - BMC neurology, 2023 - Springer
Introduction Digital twins, a form of artificial intelligence, are virtual representations of the
physical world. In the past 20 years, digital twins have been utilized to track wind turbines' …

Machine learning for automated classification of abnormal lung sounds obtained from public databases: a systematic review

JP Garcia-Mendez, A Lal, S Herasevich, A Tekin… - Bioengineering, 2023 - mdpi.com
Pulmonary auscultation is essential for detecting abnormal lung sounds during physical
assessments, but its reliability depends on the operator. Machine learning (ML) models offer …

Artificial intelligence to improve health outcomes in the NICU and PICU: a systematic review

CO Adegboro, A Choudhury, O Asan… - Hospital …, 2022 - publications.aap.org
CONTEXT Artificial intelligence (AI) technologies are increasingly used in pediatrics and
have the potential to help inpatient physicians provide high-quality care for critically ill …

AI Model for Blockchain Based Industrial Application in Healthcare IoT

V Bibhu, L Das, A Rana, S Sharma… - AI Models for Blockchain …, 2023 - Springer
Artificial intelligence is one of the prominent areas that automates the functional system to
reduce human efforts and cost incurs by healthcare industries. Blockchain, the Internet of …