[HTML][HTML] Trustworthy AI: closing the gap between development and integration of AI systems in ophthalmic practice

C González-Gonzalo, EF Thee, CCW Klaver… - Progress in retinal and …, 2022 - Elsevier
An increasing number of artificial intelligence (AI) systems are being proposed in
ophthalmology, motivated by the variety and amount of clinical and imaging data, as well as …

" The human body is a black box" supporting clinical decision-making with deep learning

M Sendak, MC Elish, M Gao, J Futoma… - Proceedings of the …, 2020 - dl.acm.org
Machine learning technologies are increasingly developed for use in healthcare. While
research communities have focused on creating state-of-the-art models, there has been less …

Responsible artificial intelligence as a secret ingredient for digital health: Bibliometric analysis, insights, and research directions

S Fosso Wamba, MM Queiroz - Information Systems Frontiers, 2023 - Springer
With the unparallel advance of leading-edge technologies like artificial intelligence (AI), the
healthcare systems are transforming and shifting for more digital health. In recent years …

[HTML][HTML] Artificial intelligence in dermatology: a primer

AT Young, M Xiong, J Pfau, MJ Keiser… - Journal of Investigative …, 2020 - Elsevier
Artificial intelligence is becoming increasingly important in dermatology, with studies
reporting accuracy matching or exceeding dermatologists for the diagnosis of skin lesions …

[HTML][HTML] Methodological and quality flaws in the use of artificial intelligence in mental health research: systematic review

R Tornero-Costa, A Martinez-Millana… - JMIR Mental …, 2023 - mental.jmir.org
Background: Artificial intelligence (AI) is giving rise to a revolution in medicine and health
care. Mental health conditions are highly prevalent in many countries, and the COVID-19 …

Integrated and patient-centred management of Parkinson's disease: a network model for reshaping chronic neurological care

BR Bloem, EJ Henderson, ER Dorsey… - The Lancet …, 2020 - thelancet.com
Chronic neurological diseases are the leading cause of disability globally. Yet, our health-
care systems are not designed to meet the needs of many patients with chronic neurological …

Predictive analytics in health care: how can we know it works?

B Van Calster, L Wynants, D Timmerman… - Journal of the …, 2019 - academic.oup.com
There is increasing awareness that the methodology and findings of research should be
transparent. This includes studies using artificial intelligence to develop predictive …

Current status and applications of Artificial Intelligence (AI) in medical field: An overview

A Haleem, M Javaid, IH Khan - Current Medicine Research and Practice, 2019 - Elsevier
Background/objectives In the current scenario, artificial intelligence (AI) is going to change
almost all the areas of the medical field. The need is to study the research carried out in this …

[图书][B] Frankenstein urbanism: Eco, smart and autonomous cities, artificial intelligence and the end of the city

F Cugurullo - 2021 - taylorfrancis.com
This book tells the story of visionary urban experiments, shedding light on the theories that
preceded their development and on the monsters that followed and might be the end of our …

Responsible artificial intelligence (AI) for value formation and market performance in healthcare: The mediating role of patient's cognitive engagement

P Kumar, YK Dwivedi, A Anand - Information Systems Frontiers, 2023 - Springer
The Healthcare sector has been at the forefront of the adoption of artificial intelligence (AI)
technologies. Owing to the nature of the services and the vulnerability of a large section of …