Medical artificial intelligence ethics: a systematic review of empirical studies

L Tang, J Li, S Fantus - Digital health, 2023 - journals.sagepub.com
Background Artificial intelligence (AI) technologies are transforming medicine and
healthcare. Scholars and practitioners have debated the philosophical, ethical, legal, and …

[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 …

Artificial intelligence-based wearable robotic exoskeletons for upper limb rehabilitation: A review

MA Vélez-Guerrero, M Callejas-Cuervo, S Mazzoleni - Sensors, 2021 - mdpi.com
Processing and control systems based on artificial intelligence (AI) have progressively
improved mobile robotic exoskeletons used in upper-limb motor rehabilitation. This …

[HTML][HTML] Ethical implications of artificial intelligence in population health and the public's role in its governance: perspectives from a citizen and expert panel

V Couture, MC Roy, E Dez, S Laperle… - Journal of Medical …, 2023 - jmir.org
Background Artificial intelligence (AI) systems are widely used in the health care sector.
Mainly applied for individualized care, AI is increasingly aimed at population health. This …

[HTML][HTML] The adoption of artificial intelligence in human resources management practices

N Nawaz, H Arunachalam, BK Pathi… - International Journal of …, 2024 - Elsevier
This study explores the impact of Artificial Intelligence (AI) on Human Resources
Management Practices. By focusing on key outcomes such as accuracy, automation …

Pre-existing and machine learning-based models for cardiovascular risk prediction

SY Cho, SH Kim, SH Kang, KJ Lee, D Choi, S Kang… - Scientific reports, 2021 - nature.com
Predicting the risk of cardiovascular disease is the key to primary prevention. Machine
learning has attracted attention in analyzing increasingly large, complex healthcare data …

A justifiable investment in AI for healthcare: aligning ambition with reality

K Karpathakis, J Morley, L Floridi - Minds and Machines, 2024 - Springer
Healthcare systems are grappling with critical challenges, including chronic diseases in
aging populations, unprecedented health care staffing shortages and turnover, scarce …

Artificial intelligence (AI) acceptance in primary care during the coronavirus pandemic: what is the role of patients' gender, age and health awareness? A two-phase …

H Chalutz Ben-Gal - Frontiers in public health, 2023 - frontiersin.org
Background Artificial intelligence (AI) is steadily entering and transforming the health care
and Primary Care (PC) domains. AI-based applications assist physicians in disease …

AI-driven environmental health disease modeling: a review of techniques and their impact on public health in the USA and African contexts

NC Ohalete, O Ayo-Farai, TO Olorunsogo… - International Medical …, 2024 - fepbl.com
This scholarly paper embarks on an exploratory journey into the realm of AI-driven
environmental health disease modeling, with a keen focus on its implications in the diverse …

Data integration challenges for machine learning in precision medicine

M Martínez-García, E Hernández-Lemus - Frontiers in medicine, 2022 - frontiersin.org
A main goal of Precision Medicine is that of incorporating and integrating the vast corpora on
different databases about the molecular and environmental origins of disease, into analytic …