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Review article
The ethics of using artificial intelligence in medical research
Shinae Yu, Sang-Shin Lee, Hyunyong Hwang
Kosin Med J. 2024;39(4):229-237.   Published online December 6, 2024
DOI: https://doi.org/10.7180/kmj.24.140
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Abstract PDFPubReader   ePub   
The integration of artificial intelligence (AI) technologies into medical research introduces significant ethical challenges that necessitate the strengthening of ethical frameworks. This review highlights the issues of privacy, bias, accountability, informed consent, and regulatory compliance as central concerns. AI systems, particularly in medical research, may compromise patient data privacy, perpetuate biases if they are trained on nondiverse datasets, and obscure accountability owing to their “black box” nature. Furthermore, the complexity of the role of AI may affect patients’ informed consent, as they may not fully grasp the extent of AI involvement in their care. Compliance with regulations such as the Health Insurance Portability and Accountability Act and General Data Protection Regulation is essential, as they address liability in cases of AI errors. This review advocates a balanced approach to AI autonomy in clinical decisions, the rigorous validation of AI systems, ongoing monitoring, and robust data governance. Engaging diverse stakeholders is crucial for aligning AI development with ethical norms and addressing practical clinical needs. Ultimately, the proactive management of AI’s ethical implications is vital to ensure that its integration into healthcare improves patient outcomes without compromising ethical integrity.

Citations

Citations to this article as recorded by  
  • Integrating Artificial Intelligence in Orthopedic Care: Advancements in Bone Care and Future Directions
    Rahul Kumar, Kyle Sporn, Joshua Ong, Ethan Waisberg, Phani Paladugu, Swapna Vaja, Tamer Hage, Tejas C. Sekhar, Amar S. Vadhera, Alex Ngo, Nasif Zaman, Alireza Tavakkoli, Mouayad Masalkhi
    Bioengineering.2025; 12(5): 513.     CrossRef
Original articles
Laparoscopy-assisted Distal Gastrectomy with Systemic D2 Lymphadenectomy for Gastric Cancer: Usefulness of Noncompliance Rate to Validate the Completion of D2
Kyung Won Seo, Kae Won Park, Ki Young Yoon
Kosin Med J. 2013;28(1):27-33.   Published online January 19, 2013
DOI: https://doi.org/10.7180/kmj.2013.28.1.27
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Abstract PDFPubReader   ePub   
Objectives

Laparoscopy-assisted distal gastrectomy (LADG) is a common surgical procedure that has recently been accepted as safe and feasible for the treatment of early gastric cancer. There have been many efforts to expand the indications of LADG to include the treatment of advanced gastric cancer. The aim of this study was to determine the usefulness of noncompliance rate as an indicator for D2 lymph node dissection (LND) validation in LADG.

Methods

The subjects were 48 patients who underwent distal gastrectomy with D2 LND at Kosin University Gospel Hospital from October to December 2010. Of them, 28 underwent LADG and 20 underwent open distal gastrectomy (ODG). We compared several factors including noncompliance rate to validate D2 LND.

Results

There were no significant differences in clinicopathologic factors except for BMI and tumor depth between the two groups. The average number of retrieved lymph nodes was significantly greater in the ODG group (45.9 ± 2.9) than in the LADG group (35.5 ± 2.0). The noncompliance rate was 43% in the LADG group and 40% in the ODG group with no significant difference.

Conclusions

In terms of no difference of noncompliance rate, LADG with D2 lymph node dissection is a safe, feasible and oncologicallycamparable with open gastrectomy. A large scaled prospective randomized trial should be needed to confirm the benefit of LADG.

The Awarness Regarding Hypertension: Comparision of Hypertensive and Non-Hypertensive
Eun Hee Kong, Jong Soon Choi
Kosin Med J. 2008;23(4):137-142.   Published online December 31, 2008
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Awareness Regarding Hypertension on Hypertensive Patients in a Clinic of Internal Medicine
Eun Hee Kong, Jong Soon Choi
Kosin Med J. 2006;21(1):188-193.
  • 459 View
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