Rhazes' (865-925 CE) contribution to surgery in Liber Almansoris.

BACKGROUND: Surgery has deep historical roots. Rhazes (865-925 CE), a Persian physician, made a significant contribution to the development of medical sciences in the medieval era. Liber Almansoris is one of his significant works on medicine. This book is a medical textbook for medical students. It covers every aspect of the medical sciences. This article discusses Rhazes' contribution to surgery, based on Liber Almansoris. METHOD: This study examines Rhazes' contribution to surgery, based on his book, Liber Almansoris. RESULTS: Rhazes's Liber Almansoris contains a chapter (seventh chapter) on orthopedics, which includes surgical approaches. This chapter also describes surgical procedures for traumas and skull fractures. In other chapters, he also recommends surgical options for treating certain complications when discussing different treatment methods. DISCUSSION: Although Rhazes mentioned surgical procedures as a medical treatment method, he did not include a separate chapter on surgery. This strategy can be found in his other medical works, such as Liber Continens or Al-Hawi. It appears that Rhazes adheres to the Galenic (Greek) perspective on surgery. In this context, surgery is not an independent major but a method that a physician can employ as needed. It differs from an alternative approach in that era that adheres to ancient Persian perspectives, which identified surgery as a major like other medical sciences disciplines.

Evaluation of Turkish Academic and Student Attitudes on Plagiarism: Validity and Reliability of the Plagiarism Attitudes Scale.

The main purpose of this study was to translate the Plagiarism Attitude Scale into Turkish and validate it for use in Turkish settings, in order to better understand research integrity attitudes and awareness of the Turkish academic and student community, while also contributing an instrument for research in this area. The research was designed and conducted with 483 participants. In the process of adapting the scale to Turkish, language, content, and construct validity analyses were performed. Following the completion of the validity phase, the reliability of the scale was examined using Cronbach's alpha coefficient and the split-half method. The results indicate that the scale's language and content validity are deemed sufficient. According to the findings of the research, the Plagiarism Attitude Scale, in its adapted Turkish version, is considered a valid and reliable tool. The use of this Turkish scale will assist local researchers in sharing their unique perspectives and help the international community better understand research ethics concerns in Türkiye. Additionally, this scale will serve as a valuable resource for planning educational programs.

Ethical considerations in telehealth and artificial intelligence for work related musculoskeletal disorders: A scoping review.

BACKGROUND: Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to perform tasks that typically require human intelligence. The integration of AI and telehealth applications in healthcare raises ethical concerns such as bias, transparency, data privacy, and accountability for errors. Several studies have assessed this topic, particularly with regard to musculoskeletal disorders, which will be the focus of this manuscript. OBJECTIVE: We will examine key ethical concepts including informed consent, data protection, confidentiality, physician malpractice, liability, and telemedicine regulations. METHODS: Ethical issues pertaining to the topic were explored through a review paper. The primary objective of this scoping review was to map and synthesize the existing literature concerning ethical considerations in telehealth and AI for work-related musculoskeletal disorders. RESULTS: Research demonstrates that medication effectiveness, patient and physician satisfaction, and accessibility costs are higher with telemedicine and AI methods compared to in-person approaches, particularly for work-related musculoskeletal disorders. Therefore, addressing ethical issues, including patient data privacy and security, is crucial in this field. By considering these factors, the adoption of emerging AI and telemedicine applications, especially for work-related musculoskeletal disorders, is likely to increase. CONCLUSION: AI and telemedicine offer significant advantages, particularly in addressing work-related musculoskeletal disorders. However, ethical and legal issues surrounding their practice require standardized rules to ensure equitable access, quality care, sustainable costs, professional liability, patient privacy, data protection, and confidentiality. Further practical research studies are needed to address these considerations more effectively.