Retrospective

A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients - Final Report

Citation
Held M., Thompson H. A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients – Final Report. (Prepared by Rush University Medical Center under Grant No. R21 HS028511). Rockville, MD: Agency for Healthcare Research and Quality, 2024.
Principal Investigator
Held, Philip
Thompson, Hale M.
Project Name
A Machine Learning Health System to Integrate Care for Substance Misuse and HIV Treatment and Prevention Among Hospitalized Patients

Cardiometabolic risk in pediatric patients with intellectual and developmental disabilities.

Citation
Nolan MB, Asche SE, Barton K, Benziger CP, Ekstrom HL, Essien I, O'Connor PJ, Allen CI, Freitag LA, Kharbanda EO. Cardiometabolic risk in pediatric patients with intellectual and developmental disabilities. Am J Prev Med. 2025 Mar;68(3):429-436. doi: 10.1016/j.amepre.2024.11.013. Epub 2024 Nov 29. PMID: 39615766.
Principal Investigator
Kharbanda, Elyse
Benziger, Catherine
Project Name
Improving Recognition and Management of Hypertension in Youth: Comparing Approaches for Extending Effective CDS for use in a Large Rural Health System

External validation of a commercial artificial intelligence algorithm on a diverse population for detection of false negative breast cancers.

Citation
Plimpton SR, Milch H, Sears C, Chalfant J, Hoyt A, Fischer C, Hsu W, Joines M. External validation of a commercial artificial intelligence algorithm on a diverse population for detection of false negative breast cancers. J Breast Imaging. 2024 Oct 14:wbae058. doi: 10.1093/jbi/wbae058. Epub ahead of print. PMID: 39401322.
Principal Investigator
Hsu, William
Hoyt, Anne C
Project Name
Using Artificial Intelligence to Support Efficient Same-Day Diagnostic Imaging in Breast Cancer Screening

Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients.

Citation
Sikora A, Jeong H, Yu M, Chen X, Murray B, Kamaleswaran R. Cluster analysis driven by unsupervised latent feature learning of medications to identify novel pharmacophenotypes of critically ill patients. Sci Rep. 2023 Sep 20;13(1):15562. doi: 10.1038/s41598-023-42657-2. PMID: 37730817; PMCID: PMC10511715.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data.

Citation
Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 2023 Sep 18:2023.09.18.23295724. doi: 10.1101/2023.09.18.23295724. PMID: 37790491; PMCID: PMC10543219.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data.

Citation
Sikora A, Zhao B, Kong Y, Murray B, Shen Y. Machine learning based prediction of prolonged duration of mechanical ventilation incorporating medication data. medRxiv [Preprint]. 2023 Sep 18:2023.09.18.23295724. doi: 10.1101/2023.09.18.23295724. PMID: 37790491; PMCID: PMC10543219.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction

Comparison of diagnostic and triage accuracy of Ada Health and WebMD symptom checkers, ChatGPT, and physicians for patients in an emergency department: Clinical data analysis study.

Citation
Fraser H, Crossland D, Bacher I, Ranney M, Madsen T, Hilliard R. Comparison of diagnostic and triage accuracy of Ada Health and WebMD symptom checkers, ChatGPT, and physicians for patients in an emergency department: Clinical data analysis study. JMIR Mhealth Uhealth. 2023 Oct 3;11:e49995. doi: 10.2196/49995. PMID: 37788063; PMCID: PMC10582809.
Principal Investigator
Fraser, Hamish S.F.
Project Name
Evaluating Diagnostic Decision Support Systems for Patients Requiring Urgent Primary or Emergency Care or with Stroke

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Citation
Keats K, Deng S, Chen X, Zhang T, Devlin JW, Murphy DJ, Smith SE, Murray B, Kamaleswaran R, Sikora A. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. medRxiv [Preprint]. 2024 Mar 22:2024.03.21.24304663. doi: 10.1101/2024.03.21.24304663. PMID: 38562806; PMCID: PMC10984037.
Principal Investigator
Sikora, Andrea
Project Name
Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction

Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction.

Citation
Keats K, Deng S, Chen X, Zhang T, Devlin JW, Murphy DJ, Smith SE, Murray B, Kamaleswaran R, Sikora A. Unsupervised machine learning analysis to identify patterns of ICU medication use for fluid overload prediction. medRxiv [Preprint]. 2024 Mar 22:2024.03.21.24304663. doi: 10.1101/2024.03.21.24304663. PMID: 38562806; PMCID: PMC10984037.
Principal Investigator
Sikora, Andrea
Project Name
Artificial Intelligence-Based Health Information Technology Tools to Optimize Critical Care Pharmacist Resources Through Adverse Drug Event Prediction