Artificial Intelligence in Oral and Maxillofacial Surgery Education.

[1]  J. Owolabi ASIC Framework Simplified and Operationalised – An Operational Matrix for Optimising the Use of Technologies and Innovations in Medical Education , 2022, Advances in medical education and practice.

[2]  K. Mandl,et al.  Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland , 2022, BMJ Health & Care Informatics.

[3]  E. Astuti,et al.  Current applications and development of artificial intelligence for digital dental radiography. , 2021, Dento maxillo facial radiology.

[4]  Taseef Hasan Farook,et al.  Machine Learning and Intelligent Diagnostics in Dental and Orofacial Pain Management: A Systematic Review , 2021, Pain research & management.

[5]  Zhihang Yuan,et al.  Detection of facial landmarks by a convolutional neural network in patients with oral and maxillofacial disease. , 2021, International journal of oral and maxillofacial surgery.

[6]  Matti Pirinen,et al.  Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future - A systematic review , 2021, Artif. Intell. Medicine.

[7]  C. Rajapakse,et al.  Artificial Intelligence: The Future of Maxillofacial Prognosis and Diagnosis? , 2021, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

[8]  O. Marques,et al.  Educating Future Physicians in Artificial Intelligence (AI): An Integrative Review and Proposed Changes , 2021, Journal of medical education and curricular development.

[9]  J. Korndorffer,et al.  Situating Artificial Intelligence in Surgery , 2020, Annals of surgery.

[10]  Anurag K. Singh,et al.  Machine Learning for Identification of Craniomaxillofacial Radiographic Lesions. , 2020, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

[11]  M. Jawaid,et al.  Artificial intelligence in medical education: Are we ready for it? , 2020, Pakistan journal of medical sciences.

[12]  F Schwendicke,et al.  Artificial Intelligence in Dentistry: Chances and Challenges , 2020, Journal of dental research.

[13]  Omar A. Karadaghy,et al.  Development and Assessment of a Machine Learning Model to Help Predict Survival Among Patients With Oral Squamous Cell Carcinoma. , 2019, JAMA otolaryngology-- head & neck surgery.

[14]  Omar A. Karadaghy,et al.  Machine learning to predict occult nodal metastasis in early oral squamous cell carcinoma. , 2019, Oral oncology.

[15]  S. Nicolaou,et al.  Influence of Artificial Intelligence on Canadian Medical Students' Preference for Radiology Specialty: ANational Survey Study. , 2019, Academic radiology.

[16]  Robert G. Radwin,et al.  Modeling Surgical Technical Skill Using Expert Assessment for Automated Computer Rating , 2017, Annals of surgery.

[17]  R. Sinha,et al.  Welcome the "new kid on the block" into the family: artificial intelligence in oral and maxillofacial surgery. , 2019, The British journal of oral & maxillofacial surgery.

[18]  D. Maintz,et al.  Medical students' attitude towards artificial intelligence: a multicentre survey , 2018, European Radiology.

[19]  Ashley Kable,et al.  The effectiveness of internet‐based e‐learning on clinician behavior and patient outcomes: a systematic review protocol , 2015, JBI database of systematic reviews and implementation reports.

[20]  B. Baş,et al.  Use of artificial neural network in differentiation of subgroups of temporomandibular internal derangements: a preliminary study. , 2012, Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons.

[21]  Susanne P. Lajoie,et al.  AI in medical educationanother grand challenge for medical informatics , 1998, Artif. Intell. Medicine.