The potential of AI technologies to revolutionize clinical practice in the field of urology is investigated, with a specific focus on the Moroccan healthcare system, and the ethical considerations and practical challenges involved in integrating AI into medical environments are addressed.
The primary goal of this investigation was to investigate the uses of AI for the detection, identification and diagnosis of various diseases and health disorders and provide future implications to professionals in the medical and medical informatics fields in AI abilities and competencies.
Ikshita Rao, J. Shivarama, A. Sahu· Journal of Health Management· 0 citations
The article examines the organizational, professional and socio-cultural aspects of the use of artificial intelligence in healthcare in the Republic of Uzbekistan, to summarize modern approaches to the use of artificial intelligence in healthcare, evaluate the clinical and managerial possibilities of its use, identify...
To promote the safe and effective adoption of AI, stronger clinical evidence, structured training programs, and organizational models capable of supporting its implementation are required.
Eugenio Santoro· Recenti progressi in medicin...· 0 citations
To improve integration, stakeholders should begin any new POCUS AI development project by first examining the different domains where POCUS AI applications are most needed, including education, clinical practice, workflow, research, and administration.
Robinson M. Ferre, Rachel B. Liu, HF Samuel Lam et al.· Journal of the American Coll...· 0 citations
A narrative review synthesises the current literature, regulatory frameworks, and ethical guidelines about the medicolegal dimensions of AI in healthcare, without adherence to a formal systematic review protocol, to address significant medico-legal and ethical challenges facing AI in healthcare.
M. Niriella, Krishanni Prabagar, I. Wijesingha et al.· AI and Ethics· 0 citations
This review examines the integration of AI across domains, including robotic surgery, drug development, medical imaging, epidemiology, and clinical decision-making, to guarantee sustainable AI deployment and foster global cooperation to make AI-driven medical solutions inclusive and accessible.
Saba Waleed, Syed Zulfiqar Ali Shah, Rubia Anjum Tariq et al.· Veredas do Direito· 2 citations
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