ETHICAL AND LEGAL ASPECTS OF USING ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF CARDIOVASCULAR DISEASES IN PRIMARY HEALTH CARE.

Artificial intelligence (AI) holds significant potential for improving the quality of cardiovascular disease diagnosis in primary health care. However, its effective and safe implementation is possible only when supported by a well-defined ethical and legal framework. To minimise risks related to data privacy, algorithmic bias, legal liability, and unequal access, collaboration is essential among physicians, developers, legal experts, ethicists, and patient representatives. This collaboration should focus on developing unified regulatory policies, patient-centred technologies, and practical ethical guidelines. Future research should prioritise empirical evaluation of AI integration outcomes in cardiovascular diagnostics, as well as cross-cultural analyses. Such efforts will help shape a sustainable and adaptable global policy for the ethical use of AI in primary cardiology practice.

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PubMed
Published
2025-10-01
Primary Topic
Artificial Intelligence in Healthcare and Education
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article
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article

ETHICAL AND LEGAL ASPECTS OF USING ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF CARDIOVASCULAR DISEASES IN PRIMARY HEALTH CARE.

Tursynbaev Nurzhan, E Adilbekov, D Tulepov
PubMed
Artificial Intelligence in Healthcare and Education
article

ETHICAL AND LEGAL ASPECTS OF USING ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF CARDIOVASCULAR DISEASES IN PRIMARY HEALTH CARE.

Tursynbaev Nurzhan, E Adilbekov, D Tulepov
article en

Abstract

Artificial intelligence (AI) holds significant potential for improving the quality of cardiovascular disease diagnosis in primary health care. However, its effective and safe implementation is possible only when supported by a well-defined ethical and legal framework. To minimise risks related to data privacy, algorithmic bias, legal liability, and unequal access, collaboration is essential among physicians, developers, legal experts, ethicists, and patient representatives. This collaboration should focus on developing unified regulatory policies, patient-centred technologies, and practical ethical guidelines. Future research should prioritise empirical evaluation of AI integration outcomes in cardiovascular diagnostics, as well as cross-cultural analyses. Such efforts will help shape a sustainable and adaptable global policy for the ethical use of AI in primary cardiology practice.

PubMed(367)
Perinatal Institute (GB), Kazakh German University (KZ), Economic Research Institute (KZ)
Openalex Percentile: Top 66%
Artificial Intelligence in Healthcare and Education
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ETHICAL AND LEGAL ASPECTS OF USING ARTIFICIAL INTELLIGENCE IN THE DIAGNOSIS OF CARDIOVASCULAR DISEASES IN PRIMARY HEALTH CARE. — Tursynbaev Nurzhan, E Adilbekov, et al. · PubMed (2025) | TGRS Research Map | TGRS