Emerging Artificial Intelligence In Therapeutic Agreements With A Medicolegal Approach

Reka Dewantara(1email), Rekyan Pandansari(2)


(1) Faculty of Law, Universitas Brawijaya, Malang, Indonesia
(2) Faculty of Law, Universitas Brawijaya, Malang, Indonesia
email Corresponding Author
CrossMark

Abstract


Introduction: Medical services use artificial intelligence for operating to help and even transform the healthcare system. AI innovators have developed tools to improve clinical care processes, advance medical research, and increase efficiency in medical services.

Purposes of the Research:  The purpose of this article is to analyse the legal validity of therapeutic agreements using AI in medical field.

Methods of the Research: The research method used is a normative juridical research type with an analytical approach.

Results of the Research: The results show that medical services are complex and closely related systems, and always contain risks, so they must be carried out with great care. Legal provisions governing the use of AI in therapeutic agreements with a medicolegal approach must be able to evaluate and ensure the safety and accuracy of medical decisions made by AI "thinking algorithms".


Keywords


Artificial Intelligence; Therapeutic; Medicolegal.


DOI


10.47268/ballrev.v5i2.1914

Published


2024-07-31

How To Cite


APA: Dewantara, R., & Pandansari, R. (2024). Emerging Artificial Intelligence In Therapeutic Agreements With A Medicolegal Approach. Batulis Civil Law Review, 5(2), 77 - 89. DOI: https://doi.org/10.47268/ballrev.v5i2.1914.
IEEE: R. Dewantara, and R. Pandansari, "Emerging Artificial Intelligence In Therapeutic Agreements With A Medicolegal Approach", Batulis Civ. Law Rev., vol. 5, no. 2, pp. 77 - 89, Jul. 2024. Accessed on: Aug. 23, 2024. [Online]. Available DOI: https://doi.org/10.47268/ballrev.v5i2.1914
Harvard: Dewantara, R., and Pandansari, R., (2024). "Emerging Artificial Intelligence In Therapeutic Agreements With A Medicolegal Approach". Batulis Civil Law Review, Volume 5(2), pp. 77 - 89. [Online]. Available DOI: https://doi.org/10.47268/ballrev.v5i2.1914 (Accessed on: 23 August 2024)
Chicago: Dewantara, Reka, and Rekyan Pandansari. "Emerging Artificial Intelligence In Therapeutic Agreements With A Medicolegal Approach." Batulis Civil Law Review 5, no. 2 (July 31, 2024): 77 - 89. Accessed August 23, 2024. doi:10.47268/ballrev.v5i2.1914
Vancouver: Dewantara R, Pandansari R. Emerging Artificial Intelligence In Therapeutic Agreements With A Medicolegal Approach. Batulis Civ. Law Rev. [Internet]. 2024 Jul 31 [cited 2024 Aug 23];5(2):77 - 89. Available from: https://doi.org/10.47268/ballrev.v5i2.1914
MLA 8th: Dewantara, Reka, and Rekyan Pandansari. "Emerging Artificial Intelligence In Therapeutic Agreements With A Medicolegal Approach." Batulis Civil Law Review, vol. 5, no. 2, 31 Jul. 2024, pp. 77 - 89, doi:10.47268/ballrev.v5i2.1914. Accessed 23 Aug. 2024.
BibTeX:
@article{BALLREV1914,
		author = {Reka Dewantara and Rekyan Pandansari},
		title = {Emerging Artificial Intelligence In Therapeutic Agreements With A Medicolegal Approach},
		journal = {Batulis Civil Law Review},
		volume = {5},
		number = {2},
		year = {2024},
		keywords = {Artificial Intelligence; Therapeutic; Medicolegal.},
		abstract = {Introduction: Medical services use artificial intelligence for operating to help and even transform the healthcare system. AI innovators have developed tools to improve clinical care processes, advance medical research, and increase efficiency in medical services.Purposes of the Research:  The purpose of this article is to analyse the legal validity of therapeutic agreements using AI in medical field.Methods of the Research: The research method used is a normative juridical research type with an analytical approach.Results of the Research: The results show that medical services are complex and closely related systems, and always contain risks, so they must be carried out with great care. Legal provisions governing the use of AI in therapeutic agreements with a medicolegal approach must be able to evaluate and ensure the safety and accuracy of medical decisions made by AI "thinking algorithms".},
				issn = {2746-8151},		pages = {77--89}			doi = {10.47268/ballrev.v5i2.1914},
				url = {https://fhukum.unpatti.ac.id/jurnal/ballrev/article/view/1914}
		}
		
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