The health digital twin to tackle cardiovascular disease—a review of an emerging interdisciplinary field
Potential benefits of precision medicine in cardiovascular disease (CVD) include more
accurate phenoty** of individual patients with the same condition or presentation, using …
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 …
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
Advances in artificial intelligence (AI) are enabling systems that augment and collaborate
with humans to perform simple, mechanistic tasks such as scheduling meetings and …
with humans to perform simple, mechanistic tasks such as scheduling meetings and …
Patient apprehensions about the use of artificial intelligence in healthcare
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 …
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 …
solutions for clinical practice. Deep learning algorithms can deal with increasing amounts of …
Potential biases in machine learning algorithms using electronic health record data
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 …
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
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 …
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
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 …
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 …
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 …
multiple sclerosis (pwMS) to cope with the complexity of this chronic, multidimensional …