Kosin Medical Journal

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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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.

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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 article

Capsule endoscopy in Kazakhstan: a multicenter clinical experience: Sang Jun Sohn, Kanat Batyrbekov, Ainura Galiakbarova, Laura Yerdaliyeva, Jamilya Kaibullayeva, Jeongwoo Ju, Haejin Lee, Yeoun Joo Lee; Kosin Med J. 2024;39(3):179-185. Published online July 26, 2024; DOI: https://doi.org/10.7180/kmj.24.116

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Abstract PDF PubReader ePub

Background
By analyzing small bowel capsule endoscopy (SBCE) performed in two large hospitals in Kazakhstan, we aimed to explore the characteristics of patients representative of Central Asia and the technical characteristics of SBCE.
Methods
SBCE cases were retrospectively analyzed. A descriptive analysis was conducted on the patients’ demographic data, diagnosis, and clinical symptoms. The results of SBCE, such as the lesions found, transit time and retention rate in the stomach and small bowel, and bowel visualization quality, were analyzed. Complications related to SBCE were investigated.
Results
SBCE was performed in 123 patients. Abdominal pain (81.3%) and chronic diarrhea (66.7%) were the most common symptoms, followed by weight loss (25.2%) and gastrointestinal bleeding (15.4%). The most common disease was Crohn’s disease (52.0%). Definite lesions, such as ulcers, polyps, and bleeding, were identified in 55.3% of patients. SBCE was successfully completed in all cases except for 11 (9.1%). The average small bowel transit time was 4 hours and 28 minutes. Excellent visualization (>75% of mucosa) was reported in 82.5% of patients. No patients experienced complications.
Conclusions
SBCE performed in Kazakhstan showed a high diagnostic yield with high-quality patient selection and no complications.

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Exploring the impact of capsule endoscopy in Kazakhstan: a significant milestone
Jong Yoon Lee
Kosin Medical Journal.2024; 39(3): 151. CrossRef

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