The legal and ethical dimensions of artificial intelligence in managing medical records in Oman

ETHICS AND LEGAL LIABILITY IN ARTIFICIAL INTELLIGENCE APPLIED TO MEDICINE

It is concluded that the responsible use of artificial intelligence in medicine depends on human supervision, professional training, and the integration of bioethical principles, ensuring technological innovation aligned with safety and patient-centered care.

Acceptability and accountability on Artificial Intelligence among healthcare workers in selected hospitals in Isabela

An outright improvement in accuracy, clinical efficiency and patient-directed care has been attributed to the radical integration of Artificial Intelligence (AI) in the healthcare arena. This inquiry explored the accountability and acceptability of AI among selected hospitals in the Province of Isabela. The selected participants were assessed on ethics, potential judgments, man-over-machine roles, public confidence and dignity and inherent biases, formerly and perceived usefulness, ease of use, social influence, self-efficacy and facilitating conditions, on the latter. This study was qualitatively underpinned by the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology. Inherently, themes and subthemes were purposefully extracted from the viewpoints of the selected health workers. Thus, findings denoted that accountability is strongly linked to transparency and training, governance, regulation and ethical guidelines as it  underscore the importance of regulating human oversight while safeguarding equitable caring outcomes as algorithmic biases are addressed. Consequently, the participants recognized that AI aids in enhancing diagnostic accuracy, reduces clinical workload yielding to improved patient care in terms of Acceptability. Although trepidations were evident on data privacy, lack of trainings , unethical nuances and human-centered oversight, public confidence, on the other hand, was robustly linked to accuracy, transparency and data privacy. Hence, the study concluded that a successful AI-integration maintains a harmony among ethical principles, technological advancements and man-over-machine oversight. Recommendations are centered to dynamic trainings, proposed policy frameworks and ergonomic collaboration between healthcare professionals and AI developers.

Ethical Challenges and Responsible Practices of Artificial Intelligence in Managing Personal Data

Artificial Intelligence in HR: Legal and Ethical Aspects of Application and Possibilities of Regulation in Different Labor Markets

The need to create international standards and agreements governing AI applications in HR management that would be the legal ground for safeguarding employees’ rights and strike a balance between automation and human factors is considered.

Artificial intelligence in medicine: An ethical and legal review.

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.

[Implementing the AI Act in the Portuguese Health Sector: Implications, Challenges and the CPIA-OM Perspective].

The rapid expansion of artificial intelligence (AI) in the health sector has intensified the need for a robust regulatory framework capable of safeguarding patient safety, professional accountability, and public trust. We aimed to analyse the European Union Artificial Intelligence Act [AI Act, Regulation (EU) 2024/1689] and its implications for the healthcare sector in Portugal, presenting the institutional position of the Artificial Intelligence Committee of the Portuguese Medical Association (CPIA-OM). We conducted a narrative review based on official European legislation [AI Act, General Data Protection Regulation (GDPR), Medical Device Regulation (MDR) and In Vitro Diagnostic Medical Devices Regulation (IVDR)], institutional documents [including the 2025 White Paper on AI in Healthcare in Portugal, published by the Shared Services of the Ministry of Health (SPMS)], and peer-reviewed literature on artificial intelligence in medicine, ethics, and regulatory science. The AI Act introduces a risk-based classification of AI systems, ranging from prohibited "unacceptable risk" applications to minimal risk uses. Most medical AI applications, including diagnostic support, clinical monitoring, and therapeutic decision-making, are classified as "high risk" and are subject to stringent requirements regarding conformity assessment, technical documentation, human oversight, and data governance. The regulation interacts with existing frameworks such as the GDPR and MDR/IVDR, creating complex compliance obligations. Specific challenges include algorithmic bias, liability attribution, and the preservation of the physician-patient relationship. In Portugal, recent institutional initiatives within the National Health Service - including pilot projects in triage, frailty assessment, antibiotic stewardship, and medical imaging - illustrate opportunities for responsible AI integration, while academic reports highlight persistent concerns around transparency, trust, and professional substitution. The AI Act represents a landmark in European health regulation, balancing innovation with fundamental rights protection. For Portugal, its implementation requires coordinated action between the government, regulators, healthcare providers, and professional bodies. The CPIA-OM emphasises the need for continuous medical education in AI, the establishment of clinical oversight protocols, and the creation of observatories to monitor implementation and ensure ethical, safe, and patient-centred adoption.