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All Journal Diagnosis: Jurnal Ilmiah Kesehatan Aksara: Jurnal Ilmu Pendidikan Nonformal Media Keperawatan: Politeknik Kesehatan Makassar Media Implementasi Riset Kesehatan
Syarif, Kurnia Rahma
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Dentistry Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Application of Artificial Intelligence in Healthcare: Trends, Challenges, and Ethical Implications. Rezky, Muhammad; Syarif, Kurnia Rahma; Yulianto M
Media Keperawatan: Politeknik Kesehatan Makassar Vol 17 No 01 (2026): Media Keperawatan: Politeksnik Kesehatan Makassar
Publisher : Jurusan Keperawatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32382/jmk.v17i01.1616

Abstract

Artificial Intelligence (AI) has seen rapid development and is increasingly implemented in various aspects of healthcare. This technology has the potential to improve diagnostic accuracy, enhance service efficiency, and support data-driven clinical decision-making. This study aims to systematically review the implementation of AI in the healthcare sector, focusing on its applications, challenges, and associated ethical and social implications. A systematic literature review was conducted using 11 peer-reviewed articles sourced from PubMed and major scientific journals. Articles were selected through predefined inclusion criteria and analyzed thematically to extract key themes. The results show that AI has been widely applied in medical image analysis, automated diagnosis, and clinical prediction, particularly through the use of deep learning models such as convolutional neural networks (CNN). These models demonstrated high performance in detecting diseases like cancer, diabetic retinopathy, and pulmonary conditions. However, implementation challenges remain, including limited interpretability of models, issues with data quality and algorithmic bias, and ethical concerns surrounding patient data privacy. In conclusion, AI holds significant promise for transforming healthcare, but its responsible and effective adoption requires robust regulatory frameworks, adequate infrastructure, and strong collaboration between AI systems and medical professionals.
Co-Authors Al Haya, Sitti Safira Basri, Muh. Damayanti, A.Fia Dian Wulandari Genggeng, Rosita Hariani Hariani, Hariani HARTATI Indirawaty, Indirawaty Ira Lestari Ismail, Nur Rejeki Najibah Laubo, Naharia Masdiana Masdiana Muhammad Basri Muhammad Nur Permatasari, Andriyani Rahmatia, Sitti Ramadhani, Putri Syaqina Rezky, Muhammad Suhartatik Sumirah Sumirah Y. Kongkoli, Erlina Yulianto M