Ethical issues |
Lack of human‐machine interaction |
Lead to the distrust of AI |
Informed consent, ensure data safety |
Opacity caused by general understanding of AI's internal processes |
Data privacy and security |
Problems from images |
Lack of quality |
Low generalization and diagnostic efficiency |
Optimize the instrument, image pro‐processing |
Small sample size |
Direct a multicenter study and establish standards |
Ratio among samples is not balanced |
Complexity of reproductive medicine |
Lack of universal diagnosis standard |
Nonstandard data collection |
Lack of consistent programs of data collecting |
Requiring systematical thinking |
Cannot reach the clinical problem |
Interdisciplinary integration |