Seemiller C, Grace M. Generation Z: educating and engaging the next generation of students. About Campus. 2017;22(3):21–6. https://doi.org/10.1002/abc.21293.
Iftode D. Generation Z and learning styles. 2020. https://doi.org/10.2139/ssrn.3518722.
Stohr C, Ou AW, Malmström H. Perceptions and usage of AI chatbots among students in higher education across genders, academic levels and fields of study. Comp Educ: Art Intell. 2024;7:100259. https://doi.org/10.1016/j.caeai.2024.100259.
Peng C, Yang X, Chen A, et al. A study of generative large language model for medical research and healthcare. Npj Digit Med. 2023;6:210. https://doi.org/10.1038/s41746-023-00958-w.
Leung BC, Williams M, Horton C, Cosker TD. Modernising anatomy teaching: which resources do students rely on? J Med Educ Curric Dev. 2020. https://doi.org/10.1177/2382120520955156.
Omar R, Mangukiya O, Kalnis P, Mansour E. ChatGPT versus traditional question answering for knowledge graphs: current status and future directions towards knowledge graph chatbots. Available from: https://arxiv.org/abs/2302.06466.
Totlis T, Natsis K, Filos D, Ediaroglou V, Mantzou N, Duparc F, Piagkou M. The potential role of ChatGPT and artificial intelligence in anatomy education: a conversation with ChatGPT. Surg Radiol Anat. 2023;45(10):1321–9. https://doi.org/10.1007/s00276-023-03229-1.
Ilgaz HB, Çelik Z. The significance of artificial intelligence platforms in anatomy education: an experience with ChatGPT and Google Bard. Cureus. 2023. https://doi.org/10.7759/cureus.45301.
Mogali SR. Initial impressions of ChatGPT for anatomy education. Anat Sci Educ. 2019;17(2):444–7. https://doi.org/10.1002/ase.2261.
Leng L. Challenge, integration, and change: ChatGPT and future anatomical education. Med Educ Online. 2024;29(1):2304973. https://doi.org/10.1080/10872981.2024.2304973.
Pal A, Sankarasubbu M. Gemini goes to med school: exploring the capabilities of multimodal large language models on medical challenge problems & hallucinations. Available from: https://arxiv.org/abs/2402.07023.
Anderson LW, Krathwohl DR, Airasian PW, et al. A taxonomy for learning, teaching, and assessing: a revision of Bloom’s taxonomy of educational objectives. 1st ed. New York: Longman; 2001.
AETCOM. Attitude, ethics and communication. Competencies for the Indian Medical Graduate 2018. https://www.nmc.org.in/information-desk/for-colleges/ug-curriculum/. Accessed 2 Jul 2024.
Standring S. Gray’s Anatomy: the anatomical basis of clinical practice. 42nd ed. London: Churchill Livingstone; 2021.
Mehta V. Snell’s clinical anatomy by regions. 2nd South Asian ed. New Delhi: Wolters Kluwer; 2023.
Moore KL, Dalley AF, Agur A. Clinically oriented anatomy. 8th ed. Philadelphia: Lippincott Williams and Wilkins; 2017.
Okonkwo CW, Ade-Ibijola A. Chatbots applications in education: a systematic review. Comp Educ: Art Intell. 2021;2:100033. https://doi.org/10.1016/j.caeai.2021.100033.
Labadze L, Grigolia M, Machaidze L. Role of AI chatbots in education: systematic literature review. Int J Educ Technol High Educ. 2023;20:56. https://doi.org/10.1186/s41239-023-00426-1.
Sáiz-Manzanares MS, Marticorena-Sánchez R, Martín-Antón LJ, Díez IG, Almeida L. Perceived satisfaction of university students with the use of chatbots as a tool for self-regulated learning. Heliyon. 2023;9(1):e12843. https://doi.org/10.1016/j.heliyon.2023.e12843.
Ghorashi N, Ismail A, Ghosh P, Sidawy A, Javan R. AI-powered chatbots in medical education: potential applications and implications. Cureus. 2023. https://doi.org/10.7759/cureus.43271.
Collins BR, Black EW, Rarey KE. Introducing AnatomyGPT: a customized artificial intelligence application for anatomical sciences education. Clin Anat. 2024;37(6):661–9. https://doi.org/10.1002/ca.24178.
Arun G, Perumal V, Urias FPJB, Ler YE, Tan BWT, Vallabhajosyula R, Tan E, Ng O, Ng KB, Mogali SR. ChatGPT versus a customized AI chatbot (Anatbuddy) for anatomy education: a comparative pilot study. Anat Sci Educ. 2024;17(7):1396–405. https://doi.org/10.1002/ase.2502.
Ranjan J, Ahmad A, Subudhi M, Kumar A. Assessment of artificial intelligence platforms with regard to medical microbiology knowledge: an analysis of ChatGPT and Gemini. Cureus. 2024. https://doi.org/10.7759/cureus.60675.
Husain S, Shahid S, Ansari Z, Ayoob T, Hussain A, Mujahid R. To compare the efficiency of ChatGPT and bard in medical education: an analysis of MCQ-based learning and assessment. Ann Abbasi Shaheed Hosp Karachi & KMDC; 2024. https://doi.org/10.58397/ashkmdc.v29i1.782.
Kıyak YS, Emekli E. ChatGPT prompts for generating multiple-choice questions in medical education and evidence on their validity: a literature review. Postgrad Med J. 2024;100(1189):858–65. https://doi.org/10.1093/postmj/qgae065.
Al Shuraiqi S, Aal Abdulsalam A, Masters K, Zidoum H, AlZaabi A. Automatic generation of medical case-based multiple-choice questions (MCQs): a review of methodologies, applications, evaluation, and future directions. BDCC. 2024;8(10):139. https://doi.org/10.3390/bdcc8100139.
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