Development of a Novel Intra-Operative Score to Record Diseases' Anatomic Fingerprints (ANAFI Score) for the Prediction of Complete Cytoreduction in Advanced-Stage Ovarian Cancer by Using Machine Learning and Explainable Artificial Intelligence.
Alexandros LaiosEvangelos KalampokisRacheal Louise JohnsonSarika MunotAmudha ThangaveluRichard HutsonTim BroadheadGeorgios TheophilouDavid NugentDiederick de JongPublished in: Cancers (2023)
< 0.005) and overall survival (HR: 1.04; 95% CI: 1.01-1.07), by 4% and 6%, respectively. (4) Conclusions: The presence of cancer disseminated in specific anatomical sites, including small bowel mesentery, large bowel serosa, and diaphragmatic peritoneum, can be more predictive of CC0 and survival than the entire PCI and IMO scores. Early intra-operative assessment of these areas only may reveal whether CC0 is achievable. In contrast to the PCI and IMO scores, the novel score remains predictive of adverse survival outcomes.
Keyphrases
- artificial intelligence
- small bowel
- machine learning
- coronary artery disease
- percutaneous coronary intervention
- big data
- acute myocardial infarction
- acute coronary syndrome
- deep learning
- antiplatelet therapy
- st segment elevation myocardial infarction
- magnetic resonance
- papillary thyroid
- free survival
- coronary artery bypass grafting
- magnetic resonance imaging
- computed tomography
- left ventricular
- squamous cell
- drug induced
- electronic health record