Prospective validation and real-time implementation of an automated machine learning postoperative mortality prediction model

By afschroeder • January 19, 2026

Wingert T, Williams T, Syed B, Hill B, Grogan T, Young A, Antongiorgi Z, Salari V, Joosten A, Hofer I, Halperin E, Cannesson M, Gabel E. Prospective validation and real-time implementation of an automated machine learning postoperative mortality prediction model. Br J Anaesth. 2026 Jan 17:S0007-0912(25)00852-9. doi: 10.1016/j.bja.2025.11.042. Epub ahead of print. PMID: 41549026.

Tags: DOM STAT, General Internal Medicine, Implementation, machine learning, mortality, postoperative outcomes, prospective validation, Publications, Risk prediction

Assessing the Reliability of Telehealth Geriatric Screening in Older Adults Undergoing Surgery

Canales C, Ivanson HC, Brooks R, Smith J, Boulos NM, Grogan T, Singh S, Sarkisian C, Cannesson M, Whittington R. Assessing the Reliability of Telehealth[...]

Early discontinuation of chemotherapy in older adults with early breast cancer: results from the prospective multicenter HOPE study

Ji J, Sun CL, Dale W, Cohen HJ, Kim H, Katheria V, Baclig N, Zektser Y, Niknafs A, Margolis S, Lee C, Smith C, Sedrak[...]

Federal Housing Assistance, Treatment, and Survival in Older Adults With Non-Small Cell Lung Cancer

Fan Q, Hu X, Warren JL, Soulos PR, Katana Ogongo M, Blackford AL, Craig TK, Hussaini SMQ, Chen KL, Feliciano J, Gross CP, Polsky D,[...]