Digitalna medicina

Гребенщикова, Е Г

doi:10.21860/j.10.1.12

Cited by 6 publications

(1 citation statement)

References 10 publications

(10 reference statements)

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“…However, it can naturally cause disconnections, especially if one's appointment and concerns are conducted through brief appointments or a messaging software. This illustrates that AI can potentially depersonalize and alter interpersonal relationships through decreased in-person social interactions [51]. Providerpatient relationships are often strengthened by elements like personable interactions, trust, emotional exchanges, and sincerity.…”

Section: Preserving Interpersonal Connectionsmentioning

confidence: 99%

AI Applications in Pediatrics: Past, Present, and Future

Pathak,

Saikia,

Lim-Dy

2024

J Inter Med Res & Rep

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In pediatric medicine, Artificial Intelligence (AI) currently remains as a novel area for research and development. Most AI applications created for adults are often complicated to fully transfer over to pediatrics due to several limiting factors. These factors include physiological differences, lack of data, and unknown implications. Nevertheless, applications in adult medicine have influenced extensive reviews for algorithms that show significant potential in pediatrics. As pediatric data gradually increases, several AI algorithms for adults can be fine-tuned to provide similar accuracies and sensitivities for diagnosing specific pediatric diseases. This chapter will discuss the pioneering applications of AI in medicine as well as current and arising applications or subspecialties. Areas of discussion encompass precision medicine, oncology, cardiology, radiology, chatbots, neurology, and ophthalmology. AI algorithms within these domains range from assistance with diagnoses, shorter waiting times, to continuous monitoring. Common benefits exhibited by many applications include increased accuracy, time and cost efficiency, patient compliance, and flexibility. For example, medical wearable technology and chatbots are two AI applications that can provide certain patient care in both outpatient and inpatient settings. These algorithms are convenient to use and offer continuous monitoring when a provider may not be readily available. Furthermore, other topics explored in this chapter relate to common concerns for using AI in pediatric medicine and education for health professionals, parents, and children. Most apprehension pertains to the misuse of data and quality of care. Reviewing these concerns is crucial for AI to exponentially flourish in medicine. Without established comprehension, hesitance and distrust may prevail over the promising potential AI can offer. Education and training can help alleviate these common misunderstandings by explaining how AI can affect both medicine and health care. Moreover, learning environments can allow health professionals, parents, and children to openly communicate their concerns that could guide ethical frameworks for developing AI applications. Analyzing these past, present, future applications, and related concerns can help demonstrate how AI will transform pediatric medicine.

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Section: Preserving Interpersonal Connectionsmentioning

confidence: 99%

AI Applications in Pediatrics: Past, Present, and Future

Pathak,

Saikia,

Lim-Dy

2024

J Inter Med Res & Rep

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REVISITING HEALTH INFORMATION TECHNOLOGY ETHICAL, LEGAL, and SOCIAL ISSUES and EVALUATION: TELEHEALTH/TELEMEDICINE and COVID-19

Kaplan

2020

International Journal of Medical Informatics

208

167

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Highlights Quality of care, access, consent, and privacy have been the primary telemedicine ELSI concerns. The pandemic illuminated additional issues and informatics needs. All these issues also apply to health information technologies in general. The scope of issues needs expanding; clinicians and organizations need updated ELSI guidelines. Evaluation that includes ELSI is necessary for decisions about health information technology.

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Ethics, Guidelines, Standards, and Policy: Telemedicine, COVID-19, and Broadening the Ethical Scope

Kaplan

2022

Camb Q Healthc Ethics

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The coronavirus crisis is causing considerable disruption and anguish. However, the COVID-19 pandemic and consequent explosion of telehealth services also provide an unparalleled opportunity to consider ethical, legal, and social issues (ELSI) beyond immediate needs. Ethicists, informaticians, and others can learn from experience, and evaluate information technology practices and evidence on which to base policy and standards, identify significant values and issues, and revise ethical guidelines. This paper builds on professional organizations’ guidelines and ELSI scholarship to develop emerging concerns illuminated by current experience. Four ethical themes characterized previous literature: quality of care and the doctor–patient relationship, access, consent, and privacy. More attention is needed to these and to expanding the scope of ethical analysis to include health information technologies. An applied ethics approach to ELSI would addresses context-specific issues and the relationships between people and technologies, and facilitate effective and ethical institutionalization of telehealth and other health information technologies.

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Digitalna medicina

Cited by 6 publications

References 10 publications

AI Applications in Pediatrics: Past, Present, and Future

AI Applications in Pediatrics: Past, Present, and Future

REVISITING HEALTH INFORMATION TECHNOLOGY ETHICAL, LEGAL, and SOCIAL ISSUES and EVALUATION: TELEHEALTH/TELEMEDICINE and COVID-19

Ethics, Guidelines, Standards, and Policy: Telemedicine, COVID-19, and Broadening the Ethical Scope

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