[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 …

[HTML][HTML] Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis

V Vo, G Chen, YSJ Aquino, S Carter, Q Do… - Social Science & …, 2023 - Elsevier
Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …

Organizational readiness for artificial intelligence in health care: insights for decision-making and practice

H Alami, P Lehoux, JL Denis, A Motulsky… - Journal of Health …, 2021 - emerald.com
Purpose Artificial intelligence (AI) raises many expectations regarding its ability to
profoundly transform health care delivery. There is an abundant literature on the technical …

[HTML][HTML] Artificial intelligence and health technology assessment: anticipating a new level of complexity

H Alami, P Lehoux, Y Auclair, M de Guise… - Journal of medical …, 2020 - jmir.org
Artificial intelligence (AI) is seen as a strategic lever to improve access, quality, and
efficiency of care and services and to build learning and value-based health systems. Many …

Artificial intelligence accelerated transformation in the healthcare industry

P Kaushik - Amity Journal of Professional Practices, 2023 - jconsortium.com
The healthcare industry was a pioneer in the deployment of artificial intelligence (AI)
technology. Due to the nature of the services and the vulnerability of a sizable portion of end …

Cancer care at the time of the fourth industrial revolution: an insight to healthcare professionals' perspectives on cancer care and artificial intelligence

I Hesso, R Kayyali, DR Dolton, K Joo, L Zacharias… - Radiation …, 2023 - Springer
Abstract Background The integration of Artificial Intelligence (AI) technology in cancer care
has gained unprecedented global attention over the past few decades. This has impacted …

[HTML][HTML] Artificial intelligence applications in healthcare: a bibliometric and topic model-based analysis

SM Alhashmi, IA Hashem, I Al-Qudah - Intelligent Systems with …, 2023 - Elsevier
Artificial Intelligence (AI) has emerged as a leading technology that can significantly
enhance healthcare systems., including diagnosis and treatment recommendations, patient …

Diagnostic quality model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML

JK Lennerz, R Salgado, GE Kim… - Clinical Chemistry and …, 2023 - degruyter.com
Background Laboratory medicine has reached the era where promises of artificial
intelligence and machine learning (AI/ML) seem palpable. Currently, the primary …

Artificial intelligence and the medical radiation profession: how our advocacy must inform future practice

A Murphy, B Liszewski - Journal of medical imaging and radiation sciences, 2019 - Elsevier
There is no escaping the fact that academics are devoting unrelenting attention to the impact
artificial intelligence will have on health care. Radiological and radiation oncology …

Clinical laboratory employees' attitudes toward artificial intelligence

O Ardon, RL Schmidt - Laboratory Medicine, 2020 - academic.oup.com
Objective The objective of this study was to determine the attitudes of laboratory personnel
toward the application of artificial intelligence (AI) in the laboratory. Methods We surveyed …