2026· Revista Bioética· Vol 34· 0 citations· 22 references
TL;DR
It is concluded that, despite the great potential of artificial intelligence to improve ophthalmic care, final responsibility for diagnosis and patient management remains exclusively with the physician.
Abstract
Abstract The increasing application of artificial intelligence in medicine has led to significant advances in diagnosis, monitoring, and treatment of diseases. However, its use raises important ethical issues involving medical responsibility, confidentiality, and patient autonomy. This review aimed to analyze the main bioethical aspects of the use of artificial intelligence in ophthalmological practice. Articles addressing the interaction between artificial intelligence, ethics, and ophthalmology were included, with emphasis on risk situations and impacts on clinical decision-making. It is concluded that, despite the great potential of artificial intelligence to improve ophthalmic care, final responsibility for diagnosis and patient management remains exclusively with the physician. Furthermore, the implementation of these technologies must be conducted ethically, ensuring transparency, protection of patient privacy, and compliance with regulatory standards, in order to balance technological innovation with safety and respect for individual rights.
The objective was to critically analyze the integration of artificial intelligence and digital technologies into intensive care, examining their impacts on clinical practice, work organization, professional autonomy, patient safety, and the ethical and regulatory challenges associated with critical care. This is a narr...
Antônia Bárbara Barbosa Silva, Décio Oliveira dos Santos, Isabela Molínero de Paula et al.· Revista de Estudos Interdisc...· 0 citations
The incorporation of artificial intelligence (AI) into healthcare processes has been reshaping pharmaceutical practice, particularly regarding patient safety and the prevention of adverse drug events. Given the expansion of clinical decision support tools, prescription screening systems, and predictive technologies, it...
Jéssica Ribeiro de Jesus Cordeiro· Revista de Estudos Interdisc...· 0 citations
Introduction: Radiology stands at the forefront of artificial intelligence integration in medicine, with artificial intelligence algorithms demonstrating performance comparable to experienced radiologists in diagnostic imaging tasks. Medical students, as future clinicians and referring physicians, require adequate know...
P. Ghimire, Sakar Sharma, P. Ghimire· Journal of Nepalgunj Medical...· 0 citations
Objective: To analyze how the incorporation of artificial intelligence into enterostomal therapy influences clinical judgment, decision-making, and the ethical foundations of specialized care. Method: A theoretical essay based on a critical analysis of recent scientific literature on artificial intelligence in healthca...
This review addresses the primary ethical principles relevant to AI in medicine - including respect for patient autonomy, beneficence, non-maleficence, and justice - alongside key legal frameworks with respect to liability, data protection, regulatory compliance, and algorithmic transparency.
Sebastian Schleidgen, O. Friedrich· European journal of internal...· 0 citations
Background Artificial intelligence is being deployed in radiology faster than the rules and regulations required to govern it. In India, this is further complicated by disparities in access to healthcare and a data protection legal framework that is in a transition phase until it becomes fully operational on May 13, 20...
Vineet Upadhyaya, Vibhav Mithal, Amit Gupta et al.· Indian Journal of Radiology...· 0 citations
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