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 phenoty** of individual patients with the same condition or presentation, using …

[PDF][PDF] The promise of artificial intelligence: a review of the opportunities and challenges of artificial intelligence in healthcare

YYM Aung, DCS Wong, DSW Ting - British medical bulletin, 2021 - academic.oup.com
Introduction Artificial intelligence (AI) and machine learning (ML) are rapidly evolving fields
in various sectors, including healthcare. This article reviews AI's present applications in …

Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support

A Sharma, IW Lin, AS Miner, DC Atkins… - Nature Machine …, 2023 - nature.com
Advances in artificial intelligence (AI) are enabling systems that augment and collaborate
with humans to perform simple, mechanistic tasks such as scheduling meetings and …

Patient apprehensions about the use of artificial intelligence in healthcare

JP Richardson, C Smith, S Curtis, S Watson, X Zhu… - NPJ digital …, 2021 - nature.com
While there is significant enthusiasm in the medical community about the use of artificial
intelligence (AI) technologies in healthcare, few research studies have sought to assess …

[HTML][HTML] Artificial intelligence in medicine: today and tomorrow

G Briganti, O Le Moine - Frontiers in medicine, 2020 - frontiersin.org
Artificial intelligence-powered medical technologies are rapidly evolving into applicable
solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of …

Potential biases in machine learning algorithms using electronic health record data

MA Gianfrancesco, S Tamang, J Yazdany… - JAMA internal …, 2018 - jamanetwork.com
A promise of machine learning in health care is the avoidance of biases in diagnosis and
treatment; a computer algorithm could objectively synthesize and interpret the data in the …

" Hello AI": uncovering the onboarding needs of medical practitioners for human-AI collaborative decision-making

CJ Cai, S Winter, D Steiner, L Wilcox… - Proceedings of the ACM on …, 2019 - dl.acm.org
Although rapid advances in machine learning have made it increasingly applicable to expert
decision-making, the delivery of accurate algorithmic predictions alone is insufficient for …

Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine

F Pesapane, M Codari, F Sardanelli - European radiology experimental, 2018 - Springer
One of the most promising areas of health innovation is the application of artificial
intelligence (AI), primarily in medical imaging. This article provides basic definitions of terms …

[HTML][HTML] Artificial intelligence in retina

U Schmidt-Erfurth, A Sadeghipour, BS Gerendas… - Progress in retinal and …, 2018 - Elsevier
Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

Digital twins for multiple sclerosis

I Voigt, H Inojosa, A Dillenseger, R Haase… - Frontiers in …, 2021 - frontiersin.org
An individualized innovative disease management is of great importance for people with
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …