As healthcare systems around the world face challenges such as escalating costs, limited
access, and growing demand for personalized care, artificial intelligence (AI) is emerging as …

Purpose The research aims to develop an assessment framework that evaluates critical
success factors (CSFs) for the Quality 4.0 (Q 4.0) transition among Indian firms …

Healthcare delivery organizations (HDOs) in the US must contend with the potential for AI to
worsen health inequities. But there is no standard set of procedures for HDOs to adopt to …

Abstract Background/Objectives Artificial intelligence (AI) holds remarkable potential to
improve care delivery in dermatology. End users (health professionals and general public) …

Pancreatic cancer remains one of the most challenging malignancies to treat due to its late-
stage diagnosis, aggressive progression, and high resistance to existing therapies. This …

Proper documentation of software can be challenging, especially for complex software
projects. The difficulty will be amplified further when an AI component is included, as the …

Background As health systems incorporate artificial intelligence (AI) into various aspects of
patient care, there is growing interest in understanding how to ensure transparent and …

The core of artificial intelligence (AI) research in health care is carried out by AI data
scientists, AI engineers, and clinicians; however, successfully evaluating and translating AI …

OPPORTUNITY TO USE ARTIFICIAL INTELLIGENCE IN MEDICINE Page 1 MASA МАНУ
CONTRIBUTIONS. Sec. of Med. Sci., XLV 2, 2024 ПРИЛОЗИ. Одд. за мед. науки, XLV 2 …

This systematic literature review examines AI transparency laws and governance in the
European Union (EU) and the United Kingdom (UK) through a socio-legal lens. The study …