Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis

Saheb, Tahereh; Carpenter, David O.

doi:10.1016/j.compbiomed.2021.104660

Cited by 70 publications

(33 citation statements)

References 113 publications

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“…Children are the hope for the future of mankind and the continuation of human life. Health is the most basic human requirement and one of the most important social goals, and it is the primary responsibility of families and society to care for the healthy growth of children [5]. The first stage of a child's growth after leaving the mother's body is the neonatal stage, which is defined as the period from birth to 28 days after birth [6].…”

Section: Introductionmentioning

confidence: 99%

An Interactive Nursing Knowledge System Based on Artificial Intelligence and Its Implications for Neonatal Care Management

Zhao

2022

Wireless Communications and Mobile Computing

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Nowadays, people are paying greater attention to the concept of childcare, and the healthy development of children is humanity’s hope for the future. The newborn stage is the most critical stage of a child’s development, and learning and mastering neonatal care is the first important lesson for parents. To meet the needs of today’s learners and to break the traditional teaching model, this paper develops a set of interactive newborn nursing knowledge system that composes the content of trivial nursing knowledge, reconstructs the knowledge structure system, and provides new teaching methods such as text browsing, 3D animation presentation, picture presentation, video presentation, interactive games, and tests for newborns. Text browsing, 3D animation, image demonstration, video demonstration, and interactive games and tests, among other new teaching methods, give a new teaching mode and method for neonatal nursing education. The study included 158 infants from local hospital. The study was divided into two groups, each with 80 cases: a control group (conventional care) and a study group (quality care management). The outcomes were contrasted and compared. The results revealed that the study group had a lower incidence of nursing defects than the control group, and the difference was statistically significant ( P 0.05 ); the study group had a lower incidence of diseases than the control group, and the difference was statistically significant ( P < 0.05 ). The study goes over the complete process of incorporating the instructional display into the interactive newborn care knowledge system. Multimedia techniques and applications were researched throughout the design and production process in order to blend intrinsic knowledge material with digital technology to produce new educational ideas.

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Section: Introductionmentioning

confidence: 99%

An Interactive Nursing Knowledge System Based on Artificial Intelligence and Its Implications for Neonatal Care Management

Zhao

2022

Wireless Communications and Mobile Computing

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“…Finally, AI applications raise major ethical issues regarding patient privacy, data protection, and security. 38 Team work with AI researchers, industries, and health professionals would help to develop efficient and secure systems to develop the applications. Finally, policymakers may help to build the adapted infrastructures and to provide policies and guidelines to guarantee the optimal and safe development of AI applications.…”

Section: Discussionmentioning

confidence: 99%

Applications of Artificial Intelligence in Non-cardiac Vascular Diseases: A Bibliographic Analysis

Lareyre

Lê

Ballaith³

et al. 2022

Angiology

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Research output related to artificial intelligence (AI) in vascular diseases has been poorly investigated. The aim of this study was to evaluate scientific publications on AI in non-cardiac vascular diseases. A systematic literature search was conducted using the PubMed database and a combination of keywords and focused on three main vascular diseases (carotid, aortic and peripheral artery diseases). Original articles written in English and published between January 1995 and December 2020 were included. Data extracted included the date of publication, the journal, the identity, number, affiliated country of authors, the topics of research, and the fields of AI. Among 171 articles included, the three most productive countries were USA, China, and United Kingdom. The fields developed within AI included: machine learning (n = 90; 45.0%), vision (n = 45; 22.5%), robotics (n = 42; 21.0%), expert system (n = 15; 7.5%), and natural language processing (n = 8; 4.0%). The applications were mainly new tools for: the treatment (n = 52; 29.1%), prognosis (n = 45; 25.1%), the diagnosis and classification of vascular diseases (n = 38; 21.2%), and imaging segmentation (n = 38; 21.2%). By identifying the main techniques and applications, this study also pointed to the current limitations and may help to better foresee future applications for clinical practice.

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“…Additionally, as studies reveal, the government's failure to recognize the legal issues inherent in CTAs and to build permanent regulatory frameworks erodes public faith in the apps, weakening their effectiveness [ 119 ]. With the advent of deep learning and complicated artificial intelligence algorithms and their incorporation in digital health care [ 120 ], experts have argued for the establishment of regulatory regimes for the advancement, administration, and procurement of AI in order to ensure the ethical and safe use of AI in the national healthcare sector [ 121 ].…”

Section: Co-occurrence Analysis Of Abstract and Content Analysis Of T...mentioning

confidence: 99%

Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies

Saheb

Sabour

Qanbary

2022

Technology in Society

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Mapping research strands of ethics of artificial intelligence in healthcare: A bibliometric and content analysis

Cited by 70 publications

References 113 publications

An Interactive Nursing Knowledge System Based on Artificial Intelligence and Its Implications for Neonatal Care Management

An Interactive Nursing Knowledge System Based on Artificial Intelligence and Its Implications for Neonatal Care Management

Applications of Artificial Intelligence in Non-cardiac Vascular Diseases: A Bibliographic Analysis

Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies

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