EClinicalMedicine, Journal Year: 2025, Volume and Issue: 83, P. 103228 - 103228
Published: May 1, 2025
Language: Английский
World Journal of Pediatrics, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 3, 2025
Language: Английский
Citations
1
BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)
Published: Feb. 7, 2025
The chatbot application Bennie and the Chats was introduced due to outbreak of COVID-19, which is aimed provide substitution for teaching conventional clinical history-taking skills. It implemented with DialogFlow preset responses, consists a large constraint on responding different conversations. rapid advancement artificial intelligence, such as recent introduction ChatGPT, offers innovative conversational experiences computer-generated responses. provides an idea develop second generation Chats. As epidemic slows, it can become assisting tool students additional exercise. In this work, we present room flexible expandable improvement. objective research examine influence newly proposed learning efficacy in bedside teaching, its potential contributions international collaboration. This study employs mixed-method design that incorporates both quantitative qualitative approaches. From approach, launched world's first cross-territory virtual our conducted survey between University Hong Kong (HKU) National Singapore (NUS). Descriptive statistics Spearman's Correlation were applied data analysis. comparative analysis two versions chatbot. And, discuss interrelationship results. For result, collected questionnaire from 45 about evaluation territories. Over 75% agreed enhance effectiveness experience. Moreover, by exchanging patients cases, 82.2% helps gain more diseases may not be prevalent their own locality. new better usability flexibility. Virtual chatbots has revolutionized advantages allowing collaborations. We believe training history taking skills will feasible supplementary teaching.
Language: Английский
Citations
1
Frontiers in Education, Journal Year: 2025, Volume and Issue: 10
Published: Feb. 28, 2025
Background The implementation of artificial intelligence (AI), and especially generative AI, is transforming many medical fields, while education faces new challenges in integrating AI into the curriculum facing with rise chatbots. Objective This survey study aimed to assess students’ attitudes toward medicine general, effects career plans, use studies. Methods An anonymous voluntary online was designed using SurveyMonkey sent out students at Gothenburg University. It consisted 25 questions divided various sections aiming evaluate prior knowledge their during studies, attitude effect on plans. Results Of 172 who completed survey, 74% were aware medicine, 71% agreed or strongly that will improve medicine. One-third frightened increased Radiologists pathologists perceived as most likely be replaced by AI. Interestingly, 37% responders they exclude some field because More than half argued should part training. Almost all (99%) chatbots, 64% had taken advantage these Fifty-eight percent supporting learning students. Conclusion Medical show high expectations for AI’s impact yet express concerns about future careers. Over a third would avoid fields threatened These findings underscore need educate students, particularly radiology pathology, optimizing human-AI collaboration rather viewing it threat. There an obvious integrate curriculum. Furthermore, rely chatbots which consideration restructuring education.
Language: Английский
Citations
0
EClinicalMedicine, Journal Year: 2025, Volume and Issue: 83, P. 103228 - 103228
Published: May 1, 2025
Language: Английский
Citations
0