Artificial Intelligence in Clinical Echocardiography: Many Expectations, but Deep Uncertainties for Defining Strategies to Overcome Difficulties and Obstacles: Authors' Reply

Affiliations

¹ Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
² Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota. Electronic address: pellikka.patricia@mayo.edu.

Comment

Andrew S Tseng et al. J Am Soc Echocardiogr. 2022 Dec.

. 2022 Dec;35(12):1336-1337.

doi: 10.1016/j.echo.2022.09.009. Epub 2022 Sep 22.

¹ Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota.
² Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota. Electronic address: pellikka.patricia@mayo.edu.

No abstract available

Comment on

Future Guidelines for Artificial Intelligence in Echocardiography.
Tseng AS, Lopez-Jimenez F, Pellikka PA. Tseng AS, et al. J Am Soc Echocardiogr. 2022 Aug;35(8):878-882. doi: 10.1016/j.echo.2022.04.005. Epub 2022 Apr 23. J Am Soc Echocardiogr. 2022. PMID: 35472568 No abstract available.
Artificial Intelligence in Clinical Echocardiography: Many Expectations, but Deep Uncertainties for Defining Strategies to Overcome Difficulties and Obstacles.
Dell'Angela L, Nicolosi GL. Dell'Angela L, et al. J Am Soc Echocardiogr. 2022 Dec;35(12):1336. doi: 10.1016/j.echo.2022.08.005. Epub 2022 Aug 12. J Am Soc Echocardiogr. 2022. PMID: 35970260 No abstract available.