Does artificial intelligence for classifying ultrasound imaging generalize between different populations and contexts?

M G Tolsgaard^{1

2}, M B S Svendsen¹, J K Thybo³, O B Petersen^{2

4}, K M Sundberg², A N Christensen³

Affiliations

¹ Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, Center for Human Resources and Education, Copenhagen, Denmark.
² Department of Fetal Medicine, Rigshospitalet, Copenhagen, Denmark.
³ Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.
⁴ Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.

Free article

Comment

M G Tolsgaard et al. Ultrasound Obstet Gynecol. 2021 Feb.

Free article

. 2021 Feb;57(2):342-343.

doi: 10.1002/uog.23546.

M G Tolsgaard^{1

2}, M B S Svendsen¹, J K Thybo³, O B Petersen^{2

4}, K M Sundberg², A N Christensen³

¹ Copenhagen Academy for Medical Education and Simulation, Rigshospitalet, Center for Human Resources and Education, Copenhagen, Denmark.
² Department of Fetal Medicine, Rigshospitalet, Copenhagen, Denmark.
³ Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark.
⁴ Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.

No abstract available

Comment on

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.
Drukker L, Noble JA, Papageorghiou AT. Drukker L, et al. Ultrasound Obstet Gynecol. 2020 Oct;56(4):498-505. doi: 10.1002/uog.22122. Ultrasound Obstet Gynecol. 2020. PMID: 32530098 Free PMC article.