Artificial intelligence-assisted evaluation of cardiac function by oncology staff in chemotherapy patients.
Stella-Lida PapadopoulouDimitrios DionysopoulosVaia MentesidouKonstantia LogaStella MichalopoulouChrysanthi KoukoutzeliKonstantinos EfthimiadisVasiliki KantartziEleni TimotheadouIoannis StyliadisPetros NihoyannopoulosVasileios SachpekidisPublished in: European heart journal. Digital health (2024)
Automated LVEF calculation by oncology staff was feasible using AI-enabled HUD in a selected patient population. Detection of LVEF < 50% was possible with good accuracy. These findings show the potential to expedite the clinical workflow of cancer patients and speed up a referral when necessary.
Keyphrases
- artificial intelligence
- machine learning
- deep learning
- big data
- end stage renal disease
- palliative care
- ejection fraction
- chronic kidney disease
- newly diagnosed
- peritoneal dialysis
- primary care
- prognostic factors
- case report
- high throughput
- radiation therapy
- locally advanced
- long term care
- electronic health record
- patient reported outcomes
- climate change