Commentary: It's elementary, my dear Watson

Central MessageThe use of validated models to predict complications, such as acute kidney injury, allows the machine learning inform clinician experience and intuition.See Article page 1180. The intuition. See IBM's Watson, cognitive artificial intelligence for health care, forced world question whether a supercomputer fueled by big data could replace physicians.1Miller A. future care be elementary with Watson.CMAJ. 2013; 185: E367-E368Crossref PubMed Scopus (13) Google Scholar Thus far, Watson has overpromised underdelivered. It doesn't take Sherlock Holmes figure out that clinician's intuition are irreplaceable. However, packaged in efficient ways, models, can clinician. study Chen colleagues2Chen Z. Li J. Sun Y. Wang C. Yang W. Ma M. et al.A novel predictive model poor in-hospital outcomes patients injury after cardiac surgery.J Thorac Cardiovasc Surg. 2023; 165: 1180-1191.e7Abstract Full Text PDF (4) aims build model. They suggest inclusion certain cytokines, specifically interleukin 8 16, along creatinine builds better predicts surgery-associated (CSA-AKI), such, provides superior prognostic value outcomes. AKI is most common major complication following surgery associated 3- 8-fold higher perioperative mortality, longer intensive unit stays, costs.3Wang Bellomo R. Cardiac injury: risk factors, pathophysiology treatment.Nat Rev Nephrol. 2017; 13: 697-711Crossref (339) Previous studies have shown biomarkers improve prediction CSA-AKI.4Parikh C.R. Devarajan P. Zappitelli Sint K. Thiessen-Philbrook H. S. al.Postoperative pediatric Am Soc 2011; 22: 1737-1747Crossref (300) ability interpret all overall clinical picture patient remains an art rather than science. With advent new technology, we utilize tools our assessment contribute this art. Through techniques like approach used current article, large amounts analyzed experience. Although nothing comes from seeing thousands patients, interaction more fruitful when appropriately used. Observations placed broader context provided data. important lessons about which may deteriorate learned quickly help not only treat but also, proper framework, applied patients. estimate hemodialysis surgery, also becomes communication tool informing potential downstream effects treatment options CSA-AKI. To conversation, needs trusted. presented here was internally bootstrapping resulted improved classification at AKI. predicting renal replacement therapy external cohort. Improvements even provide estimates how long will need therapy, thus giving complete understanding his or her everyday life might change. A CSA-AKI one article physician's interaction, mitigate mortality cost, between provider. surgeryThe Journal Thoracic Cardiovascular SurgeryVol. 165Issue 3PreviewPatients surgery–associated death. We aimed develop validate among injury. Full-Text