Exploring artificial intelligence in the Nigerian medical educational space: An online cross-sectional study of perceptions, risks and benefits among students and lecturers from ten universities.

Background: The impact of artificial intelligence (AI) has been compared to that of the Internet and printing, evoking both apprehension and anticipation in an uncertain world.

Objective: This study aimed to explore the perceptions of medical students and faculty members from ten universities across Nigeria regarding AI.

Methods: Using Google Forms and WhatsApp, a cross-sectional online survey was administered to clinical year medical students and their lecturers from ten medical schools representing all the six geopolitical zones of Nigeria.

Can traditional bonesetters become trained technicians? Feasibility study among a cohort of Nigerian traditional bonesetters.

Background: Traditional bonesetters (TBS) provide the majority of primary fracture care in Nigeria and other low- and middle-income countries (LMICs). They are widely patronized and their services are commonly associated with complications. The aim of the study was to establish the feasibility of formal training of TBS and subsequent integration into the healthcare system.