Artificial intelligence-based education assists medical students’ interpretation of hip fracture

Abstract

Background With recent transformations in medical education, the integration of technology to improve medical students’ abilities has become feasible. Artificial intelligence (AI) has impacted several aspects of healthcare. However, few studies have focused on medical education. We performed an AI-assisted education study and confirmed that AI can accelerate trainees’ medical image learning. Materials We developed an AI-based medical image learning system to highlight hip fracture on a plain pelvic film. Thirty medical students were divided into a conventional (CL) group and an AI-assisted learning (AIL) group. In the CL group, the participants received a prelearning test and a postlearning test. In the AIL group, the participants received another test with AI-assisted education before the postlearning test. Then, we analyzed changes in diagnostic accuracy. Results The prelearning performance was comparable in both groups. In the CL group, postlearning accuracy (78.66 ± 14.53) was higher than prelearning accuracy (75.86 ± 11.36) with no significant difference (p = .264). The AIL group showed remarkable improvement. The WithAI score (88.87 ± 5.51) was significantly higher than the prelearning score (75.73 ± 10.58, p < 0.01). Moreover, the postlearning score (84.93 ± 14.53) was better than the prelearning score (p < 0.01). The increase in accuracy was significantly higher in the AIL group than in the CL group. Conclusion The study demonstrated the viability of AI for augmenting medical education. Integrating AI into medical education requires dynamic collaboration from research, clinical, and educational perspectives.

The impact of artificial intelligence on clinical education: perceptions of postgraduate trainee doctors in London (UK) and recommendations for trainers

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Use of artificial intelligence as a didactic tool to improve ejection fraction assessment in the emergency department: A randomized controlled pilot study

“… 14 One recent study supports the use of AI to assist medical students in identifying hip fractures. 15 As radiology is going to be positively impacted by the AI revolution, residents are already being prepared for its integration into their practice. 16 Students on an ophthalmology rotation have used AI to improve their understanding of congenital cataracts.…”

“…It is currently being used mostly for learning support 14 . One recent study supports the use of AI to assist medical students in identifying hip fractures 15 . As radiology is going to be positively impacted by the AI revolution, residents are already being prepared for its integration into their practice 16 .…”

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“…With the expansion of Artificial Intelligence (AI) in healthcare, there is rising interest in AI-augmented medical education. Cheng et al developed an AI-augmented teaching program for medical students in detecting hip fractures and found significantly higher post-learning accuracy in the AI-assisted learning group than a control learning group ( 13 ). AI-assisted teaching platforms may serve as a valuable teaching method that allows delivery of personalized education and 24-hour supervised tutoring that benefits both trainees and trainers.…”