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Bruno Batinica

Showing results (1-10 of 8) with videos related to

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European Heart Journal Open|May 13, 2026
Population-level cardiovascular risk prediction models including biochemical predictors in 800 000 individualsBruno Batinica, Suneela Mehta, Jingyuan Liang, et al.
Medrxiv : the Preprint Server for Health Sciences|September 5, 2025
TARGET-AI: a foundational approach for the targeted deployment of artificial intelligence electrocardiography in the electronic health recordEvangelos K Oikonomou, Bruno Batinica, Lovedeep Singh Dhingra, et al.
ANZ Journal of Surgery|June 27, 2022
Tibial metaphyseal cones combined with short stems perform as well as long stems in revision total knee arthroplastyBruno Batinica, Scott M Bolam, Matt D'Arcy, et al.
Current Atherosclerosis Reports|September 1, 2025
Transforming Population Health Screening for Atherosclerotic Cardiovascular Disease with AI-Enhanced ECG Analytics: Opportunities and ChallengesDhruva Biswas, Arya Aminorroaya, Philip M Croon, et al.
Medrxiv : the Preprint Server for Health Sciences|January 16, 2026
DEVELOPMENT AND MULTINATIONAL VALIDATION OF ARTIFICIAL INTELLIGENCE-ENABLED ASCVD RISK STRATIFICATION USING ELECTROCARDIOGRAMSBruno Batinica, Evangelos K Oikonomou, Aline F Pedroso, et al.
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Reliability of Artificial Intelligence-enhanced ElectrocardiographyLovedeep S Dhingra, Philip M Croon, Bruno Batinica, et al.
Sensors (Basel, Switzerland)|August 10, 2021
Remote Patient Monitoring with Wearable Sensors Following Knee ArthroplastyScott M Bolam, Bruno Batinica, Ted C Yeung, et al.
European Journal of Preventive Cardiology|September 28, 2023
Development and validation of cardiovascular risk prediction equations in 76 000 people with known cardiovascular diseaseAnders Holt, Bruno Batinica, Jingyuan Liang, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
European Heart Journal Open|May 13, 2026
Population-level cardiovascular risk prediction models including biochemical predictors in 800 000 individualsBruno Batinica, Suneela Mehta, Jingyuan Liang, et al.
Medrxiv : the Preprint Server for Health Sciences|September 5, 2025
TARGET-AI: a foundational approach for the targeted deployment of artificial intelligence electrocardiography in the electronic health recordEvangelos K Oikonomou, Bruno Batinica, Lovedeep Singh Dhingra, et al.
ANZ Journal of Surgery|June 27, 2022
Tibial metaphyseal cones combined with short stems perform as well as long stems in revision total knee arthroplastyBruno Batinica, Scott M Bolam, Matt D'Arcy, et al.
Current Atherosclerosis Reports|September 1, 2025
Transforming Population Health Screening for Atherosclerotic Cardiovascular Disease with AI-Enhanced ECG Analytics: Opportunities and ChallengesDhruva Biswas, Arya Aminorroaya, Philip M Croon, et al.
Medrxiv : the Preprint Server for Health Sciences|January 16, 2026
DEVELOPMENT AND MULTINATIONAL VALIDATION OF ARTIFICIAL INTELLIGENCE-ENABLED ASCVD RISK STRATIFICATION USING ELECTROCARDIOGRAMSBruno Batinica, Evangelos K Oikonomou, Aline F Pedroso, et al.
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Reliability of Artificial Intelligence-enhanced ElectrocardiographyLovedeep S Dhingra, Philip M Croon, Bruno Batinica, et al.
Sensors (Basel, Switzerland)|August 10, 2021
Remote Patient Monitoring with Wearable Sensors Following Knee ArthroplastyScott M Bolam, Bruno Batinica, Ted C Yeung, et al.
European Journal of Preventive Cardiology|September 28, 2023
Development and validation of cardiovascular risk prediction equations in 76 000 people with known cardiovascular diseaseAnders Holt, Bruno Batinica, Jingyuan Liang, et al.
Pageof 1