Bruno Batinica
Postdoctoral AssociateAbout
Research
Publications
2026
Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification
Dhingra L, Croon P, Batinica B, Aminorroaya A, Pedroso A, Khera R. Artificial Intelligence-enhanced Electrocardiography for Heart Failure Screening and Risk Stratification. Current Heart Failure Reports 2026, 23: 10. PMID: 41838300, DOI: 10.1007/s11897-026-00748-x.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsPopulation-level cardiovascular risk prediction models including biochemical predictors in 800 000 individuals
Batinica B, Mehta S, Liang J, Jackson R, Poppe K. Population-level cardiovascular risk prediction models including biochemical predictors in 800 000 individuals. European Heart Journal Open 2026, 6: oeag051. PMID: 42125027, PMCID: PMC13160000, DOI: 10.1093/ehjopen/oeag051.Peer-Reviewed Original ResearchTARGET-AI: A Foundational Approach for the Targeted Deployment of Artificial Intelligence Electrocardiography in the Electronic Health Record
Oikonomou E, Batinica B, Dhingra L, Aminorroaya A, Coppi A, Khera R. TARGET-AI: A Foundational Approach for the Targeted Deployment of Artificial Intelligence Electrocardiography in the Electronic Health Record. NEJM AI 2026, 3 DOI: 10.1056/aioa2500588.Peer-Reviewed Original Research
2025
Transforming Population Health Screening for Atherosclerotic Cardiovascular Disease with AI-Enhanced ECG Analytics: Opportunities and Challenges
Biswas D, Aminorroaya A, Croon P, Batinica B, Pedroso A, Khera R. Transforming Population Health Screening for Atherosclerotic Cardiovascular Disease with AI-Enhanced ECG Analytics: Opportunities and Challenges. Current Atherosclerosis Reports 2025, 27: 86. PMID: 40888973, DOI: 10.1007/s11883-025-01337-4.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus Statements
2023
Development and validation of cardiovascular risk prediction equations in 76 000 people with known cardiovascular disease
Holt A, Batinica B, Liang J, Kerr A, Crengle S, Hudson B, Wells S, Harwood M, Selak V, Mehta S, Grey C, Lamberts M, Jackson R, Poppe K. Development and validation of cardiovascular risk prediction equations in 76 000 people with known cardiovascular disease. European Journal Of Preventive Cardiology 2023, 31: 218-227. PMID: 37767960, DOI: 10.1093/eurjpc/zwad314.Peer-Reviewed Original ResearchTIBIAL METAPHYSEAL CONES COMBINED WITH SHORT STEMS PERFORM AS WELL AS LONG STEMS IN REVISION TOTAL KNEE ARTHROPLASTY
Batinica B, Bolam S, Zhu M, D'Arcy M, Peterson R, Young S, Monk A, Munro J. TIBIAL METAPHYSEAL CONES COMBINED WITH SHORT STEMS PERFORM AS WELL AS LONG STEMS IN REVISION TOTAL KNEE ARTHROPLASTY. Orthopaedic Proceedings 2023, 105-B: 38-38. DOI: 10.1302/1358-992x.2023.2.038.Peer-Reviewed Original Research
2022
Tibial metaphyseal cones combined with short stems perform as well as long stems in revision total knee arthroplasty
Batinica B, Bolam S, D'Arcy M, Zhu M, Monk A, Munro J. Tibial metaphyseal cones combined with short stems perform as well as long stems in revision total knee arthroplasty. Australian And New Zealand Journal Of Surgery 2022, 92: 2254-2260. PMID: 35754371, PMCID: PMC9539956, DOI: 10.1111/ans.17864.Peer-Reviewed Original Research
2021
Remote Patient Monitoring with Wearable Sensors Following Knee Arthroplasty
Bolam S, Batinica B, Yeung T, Weaver S, Cantamessa A, Vanderboor T, Yeung S, Munro J, Fernandez J, Besier T, Monk A. Remote Patient Monitoring with Wearable Sensors Following Knee Arthroplasty. Sensors 2021, 21: 5143. PMID: 34372377, PMCID: PMC8347411, DOI: 10.3390/s21155143.Peer-Reviewed Original Research