Fully automated artificial intelligence–based echocardiographic analysis for global longitudinal strain monitoring and cancer therapy–related cardiac dysfunction detection in breast cancer patients
Yoshihito Saijo, Robert Zheng, Yuichiro Okushi, Yuka Nomura, Yukina Hirata, Hiroaki Inoue, Hirotsugu Yamada, Kenya Kusunose, Masataka Sata · 2026
Read Fully automated artificial intelligence–based echocardiographic analysis for global longitudinal strain monitoring and cancer therapy–related cardiac dysfunction detection in breast cancer patients by Yoshihito Saijo, Robert Zheng, Yuichiro Okushi, Yuka Nomura, Yukina Hirata, Hiroaki Inoue, Hirotsugu Yamada, Kenya Kusunose, Masataka Sata (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13322393.txt.
Description
Yoshihito Saijo and co-authors test a fully automated AI system for heart ultrasound in breast cancer care in a 2026 study. Cancer drugs can injure the heart, and a stretch measure called global longitudinal strain catches that harm early. Patients on anthracyclines or HER2 targeted therapy from 2022 to 2025 had scans at baseline and every 12 weeks.
A total of 92 patients and 456 scans were analysed, with strain read by two experts and by the AI system. AI values ran slightly lower, and agreement between methods was moderate. Harm was flagged in 31.5 percent of patients by experts and 34.8 percent by AI, at similar times. Automation may ease workload in cardio-oncology clinics.
Catalog record
| CREATOR | Yoshihito Saijo, Robert Zheng, Yuichiro Okushi, Yuka Nomura, Yukina Hirata, Hiroaki Inoue, Hirotsugu Yamada, Kenya Kusunose, Masataka Sata |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 26513 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |