Generative AI for medical 3D printing: a comparison of ChatGPT outputs to reference standard education

3D Printing in Medicine

Editorial

Kashish Dhal¹  Parimal Patel¹  Andrew Emmert²  Rajul Gupta²  Shivum Chokshi³  Prashanth Ravi³  Shayne Kondor³  Aakanksha Sriwastwa³  Frank J. Rybicki⁴  Leonid L. Chepelev⁵ 

[1]Department of Mechanical and Aerospace Engineering, University of Texas, 76010, Arlington, TX, USA

[2]Department of Orthopedics and Sports Medicine, University of Cincinnati, 45209, Cincinnati, OH, USA

[3]Department of Radiology, University of Cincinnati, College of Medicine, 45219, Cincinnati, OH, USA

[4]Department of Radiology, University of Cincinnati, College of Medicine, 45219, Cincinnati, OH, USA

[5]Department of Biomedical Engineering, University of Cincinnati, College of Engineering and Applied Sciences, 45219, Cincinnati, OH, USA

[6]Joint Department of Medical Imaging, University of Toronto, M5G 2N2, Toronto, Ontario, Canada

关键词: Generative AI;    Artificial intelligence;    Radiology;    3D printing;    Additive manufacturing;    Rapid prototyping;    Medical education;    Postgraduate education;   

DOI  :  10.1186/s41205-023-00186-8

 received in 2023-07-01, accepted in 2023-07-07,  发布年份 2023

来源: Springer

【 授权许可】

CC BY   
© The Author(s) 2023

【 图 表 】

Fig. 1