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Showing 2 results for Salehin

Reza Salehinia, Marzieh Nasiri Sangari, Hossein Abbasian, Sajjad Salehian,
Volume 17, Issue 0 (Supplement of 11th Annual Iranian Congress of Medical Ethics 2024)
Abstract

Artificial intelligence (AI) represents a significant human advancement. The proliferation of AI technologies within the healthcare sector has led to substantial improvements in health outcomes and medical indicators. However, the application of AI in healthcare is accompanied by numerous ethical challenges. This study aimed to investigate the ethical considerations associated with the use of AI in the healthcare domain. This narrative review included articles published between February 2019 and November 2024. A comprehensive literature search was conducted across internal databases, including Magiran and SID, as well as external scientific databases such as PubMed, Web of Science, Medline, ScienceDirect, and Google Scholar. Keywords used for the search included "Ethics," "Artificial Intelligence," and "Health" in both Persian and English. After applying inclusion criteria and conducting quality assessments, nine studies were deemed eligible for inclusion in this review. The findings of previous studies demonstrate that the utilization of AI in healthcare has yielded significant benefits, including more accurate disease diagnoses, improved clinical predictions, more efficient hospital management, optimized resource allocation, enhanced patient care, streamlined clinical workflows, and advancements in medical research. These technologies have contributed to increased efficiency and quality within healthcare services. However, significant ethical challenges remain, including data privacy and security concerns, algorithmic bias, transparency issues, the need for robust clinical validation, and the importance of ensuring professional responsibility. Adherence to principles such as transparency, fairness, privacy protection, and equitable access is crucial for the responsible development and deployment of AI in healthcare. Ultimately, achieving a balance between technological advancements and human values is paramount for the sustainable and ethical utilization of AI in this domain. The findings of this review underscore the profound impact of AI on improving quality of life and enhancing services across various sectors, particularly healthcare, by providing innovative solutions. However, the optimal utilization of AI in healthcare necessitates a meticulous consideration of ethical implications, rigorous monitoring of AI systems, and proactive efforts to address the existing challenges.

Shahrbanoo Salehin,
Volume 17, Issue 1 (3-2024)
Abstract

The COVID-19 pandemic is a public health emergency that has challenged many ethical issues. This study aimed to investigate the challenges and considerations of midwifery professional ethics during the COVID-19 pandemic. Employing qualitative content analysis, raw data were collected through an extensive literature review, utilizing purposive sampling until data saturation was achieved. Data trustworthiness was ensured based on Lincoln and Guba's criteria and data were analyzed using an inductive method. A total of 4 themes and 17 main categories were extracted. The themes and categories included: 1. Ethical challenges in deciding on midwifery care and place of delivery (ethical challenges of home birth, ethical challenges of hospital delivery, facing ethical challenges), 2. Clinical ethical principles (beneficence, equitable distribution and justice, solidarity, trust, duty to care), 3. Ethical principles in management (equal concern and respect, minimizing harm caused by the pandemic, inter-sectoral cooperation, evidence-based decision-making), 4. Support for midwives' rights (psychological support for midwives, gender considerations among midwives, midwifery training, workplace health, support policies). Midwives encounter various ethical challenges in pandemics. Thus, developing an ethical framework for decision-making in pandemics can help address these challenges.


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