An interdisciplinary review of AI and HRM: Challenges and future directions

Y Pan, FJ Froese - Human resource management review, 2023 - Elsevier
Artificial intelligence (AI) has the potential to change the future of human resource
management (HRM). Scholars from different disciplines have contributed to the field of AI in …

An integrative review on the acceptance of artificial intelligence among healthcare professionals in hospitals

SI Lambert, M Madi, S Sopka, A Lenes, H Stange… - NPJ Digital …, 2023 - nature.com
Artificial intelligence (AI) in the domain of healthcare is increasing in prominence.
Acceptance is an indispensable prerequisite for the widespread implementation of AI. The …

Artificial intelligence in medical education: a cross-sectional needs assessment

MM Civaner, Y Uncu, F Bulut, EG Chalil, A Tatli - BMC Medical Education, 2022 - Springer
Background As the information age wanes, enabling the prevalence of the artificial
intelligence age; expectations, responsibilities, and job definitions need to be redefined for …

Ethical, legal, and social considerations of AI-based medical decision-support tools: A scoping review

A Čartolovni, A Tomičić, EL Mosler - International Journal of Medical …, 2022 - Elsevier
Introduction Recent developments in the field of Artificial Intelligence (AI) applied to
healthcare promise to solve many of the existing global issues in advancing human health …

Machine learning and its application in skin cancer

K Das, CJ Cockerell, A Patil, P Pietkiewicz… - International Journal of …, 2021 - mdpi.com
Artificial intelligence (AI) has wide applications in healthcare, including dermatology.
Machine learning (ML) is a subfield of AI involving statistical models and algorithms that can …

Attitudes, knowledge, and skills towards artificial intelligence among healthcare students: A systematic review

SF Mousavi Baigi, M Sarbaz… - Health science …, 2023 - Wiley Online Library
Abstract Background and Aims This systematic review examined healthcare students'
attitudes, knowledge, and skill in Artificial Intelligence (AI). Methods On August 3, 2022 …

To trust or not to trust? An assessment of trust in AI-based systems: Concerns, ethics and contexts

N Omrani, G Rivieccio, U Fiore, F Schiavone… - … Forecasting and Social …, 2022 - Elsevier
Artificial intelligence (AI) characterizes a new generation of technologies capable of
interacting with the environment and aiming to simulate human intelligence. The success of …

A survey of clinicians on the use of artificial intelligence in ophthalmology, dermatology, radiology and radiation oncology

J Scheetz, P Rothschild, M McGuinness, X Hadoux… - Scientific reports, 2021 - nature.com
Artificial intelligence technology has advanced rapidly in recent years and has the potential
to improve healthcare outcomes. However, technology uptake will be largely driven by …

[HTML][HTML] Exploring stakeholder attitudes towards AI in clinical practice

IA Scott, SM Carter, E Coiera - BMJ Health & Care Informatics, 2021 - ncbi.nlm.nih.gov
Objectives Different stakeholders may hold varying attitudes towards artificial intelligence
(AI) applications in healthcare, which may constrain their acceptance if AI developers fail to …

Modeling adoption of intelligent agents in medical imaging

FM Calisto, N Nunes, JC Nascimento - International Journal of Human …, 2022 - Elsevier
Artificial intelligence has the potential to transform many application domains fundamentally.
One notable example is clinical radiology. A growing number of decision-making support …