Pemanfaatan Kecerdasan Buatan dalam Diagnostik Medis: Tantangan dan Peluang
Abstract
One of the most important medical innovations, especially in diagnostics, is artificial intelligence (AI). This article discusses the use of AI in medical diagnostics, pointing out the advantages, disadvantages, and prospects. AI can improve diagnosis accuracy, speed up the treatment process, and customize patient care quickly and accurately. However, issues such as algorithm validity, data privacy, and the ethical use of this technology should be considered as well. The purpose of this article is to provide an understanding of how AI can change the paradigm of medical diagnostics and provide suggestions for better implementation. In the field of medical diagnostics, artificial intelligence (AI) has created new ways to improve the accuracy and effectiveness of disease diagnosis. the application of AI in medical diagnostics is also faced with a number of challenges. The quality of the data used to train algorithms is crucial, yet medical data is often incomplete, inconsistent and sensitive in nature. Moreover, interpretation of results generated by AI requires in-depth medical expertise to ensure informed decisions. In addition, this article discusses the role of AI in various medical fields, such as medical imaging and genomic data analysis. The article discusses the issues encountered as well as opportunities and challenges, including ethical concerns, data privacy, and technological limitations. This comprehensive analysis is expected to provide insights into how AI can be better utilized in medical practice and the difficulties that exist. Through a comprehensive analysis of various case studies, this research found that AI can improve diagnosis efficiency and accuracy, but also faces challenges such as data quality, algorithm bias, and ethics. Nonetheless, with the rapid development of technology and strong collaboration between medical experts and computer scientists, AI has the potential to be an invaluable tool in improving the quality of healthcare.
Downloads
References
Al Faruq, U. (2020). Peluang Dan Tantangan Pendidikan Muhammadiyah Di Era 4.0. Ar-Risalah: Media Keislaman, Pendidikan Dan Hukum Islam, 18(1), 013. http://repository.uin-malang.ac.id/8770/
Ghufron, M. . (2018). Revolusi Industri 4.0: Tantangan, Peluang, Dan Solusi Bagi Dunia Pendidikan. Seminar Nasional Dan Diskusi Panel Multidisiplin Hasil Penelitian Dan Pengabdian Kepada Masyarakat 2018, 1(1), 332–337.
Huang, X., & Zhang, X. (2017). A novel three-phase single-stage PFC converter with limited double-polarity control. Proceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society, 2017-Janua, 4088–4093. https://doi.org/10.1109/IECON.2017.8216701
Mufidah, N., Fitriani, I. H., & Tahir, S. Z. B. (2022). Peluang Dan Tantangan Digitalisasi Pengajaran Bahasa Arab Di Man 4 Maluku Tengah. Proceeding of …, 450–459. http://repository.uin-malang.ac.id/13466/
Mutiah, R. (2021). Peran fitofarmaka dalam pencegahab dan terapi kanker. Analisis Fitokimia Daun Pepaya (Carica Papaya L) Di Balai Penelitian Tanaman Aneka Kacang Dan Umbi, Kendalpayak, Malang., Mi, 134–137. http://repository.uin-malang.ac.id/7876/
Rajkomar, A., Dean, J., & Kohane, I. (2019). Machine Learning in Medicine. New England Journal of Medicine, 380(14), 1347–1358. https://doi.org/10.1056/nejmra1814259
Sakinah, R., Kuswinarno, M., & Madura, U. T. (2024). DAMPAK KECERDASAN BUATAN TERHADAP DIGITALISASI DAN KINERJA SUMBER DAYA MANUSIA : PELUANG DAN DAMPAK KECERDASAN BUATAN TERHADAP DIGITALISASI DAN KINERJA SUMBER DAYA MANUSIA : PELUANG DAN. 2(9).
Siti Masrichah. (2023). Ancaman Dan Peluang Artificial Intelligence (AI). Khatulistiwa: Jurnal Pendidikan Dan Sosial Humaniora, 3(3), 83–101. https://doi.org/10.55606/khatulistiwa.v3i3.1860
Copyright (c) 2025 Zahra Rahmatillah
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
