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Carsten Eickhoff

Showing results (31-40 of 47) with videos related to

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NPJ Digital Medicine|November 2, 2020
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performanceNina Rank, Boris Pfahringer, Jörg Kempfert, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer ArchitecturesAaron S Eisman, Nishant R Shah, Carsten Eickhoff, et al.
The Lancet. Respiratory Medicine|October 3, 2018
Machine learning for real-time prediction of complications in critical care: a retrospective studyAlexander Meyer, Dina Zverinski, Boris Pfahringer, et al.
Journal of Medical Internet Research|January 21, 2025
What's Going On With Me and How Can I Better Manage My Health? The Potential of GPT-4 to Transform Discharge Letters Into Patient-Centered Letters to Enhance Patient Safety: Prospective, Exploratory StudyFelix Eisinger, Friederike Holderried, Moritz Mahling, et al.
The Journal of Thoracic and Cardiovascular Surgery|December 1, 2023
Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgeryAdeel Abbasi, Cindy Li, Max Dekle, et al.
Journal of Nutrition Education and Behavior|September 14, 2025
Exploring Facilitators and Barriers for Personalized Dietary Incentives Among Online Shoppers at Cardiovascular Risk and Key Informants to Inform an Automated Shopping PlatformMaya K Vadiveloo, Alison Tovar, Emily G Elenio, et al.
Frontiers in Cardiovascular Medicine|October 7, 2024
Artificial intelligence based real-time prediction of imminent heart failure hospitalisation in patients undergoing non-invasive telemedicineNils Hinrichs, Alexander Meyer, Kerstin Koehler, et al.
Frontiers in Neurology|June 26, 2023
Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhageAbdullah Ahmed, Augusto Garcia-Agundez, Ivana Petrovic, et al.
JTCVS Open|November 13, 2024
Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysisAndrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Research Square|January 10, 2024
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry AnalysisAndrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Pageof 5

Showing results (31-40 of 47) with videos related to

Sort By:
Pageof 5
NPJ Digital Medicine|November 2, 2020
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performanceNina Rank, Boris Pfahringer, Jörg Kempfert, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
Extracting Angina Symptoms from Clinical Notes Using Pre-Trained Transformer ArchitecturesAaron S Eisman, Nishant R Shah, Carsten Eickhoff, et al.
The Lancet. Respiratory Medicine|October 3, 2018
Machine learning for real-time prediction of complications in critical care: a retrospective studyAlexander Meyer, Dina Zverinski, Boris Pfahringer, et al.
Journal of Medical Internet Research|January 21, 2025
What's Going On With Me and How Can I Better Manage My Health? The Potential of GPT-4 to Transform Discharge Letters Into Patient-Centered Letters to Enhance Patient Safety: Prospective, Exploratory StudyFelix Eisinger, Friederike Holderried, Moritz Mahling, et al.
The Journal of Thoracic and Cardiovascular Surgery|December 1, 2023
Interpretable machine learning-based predictive modeling of patient outcomes following cardiac surgeryAdeel Abbasi, Cindy Li, Max Dekle, et al.
Journal of Nutrition Education and Behavior|September 14, 2025
Exploring Facilitators and Barriers for Personalized Dietary Incentives Among Online Shoppers at Cardiovascular Risk and Key Informants to Inform an Automated Shopping PlatformMaya K Vadiveloo, Alison Tovar, Emily G Elenio, et al.
Frontiers in Cardiovascular Medicine|October 7, 2024
Artificial intelligence based real-time prediction of imminent heart failure hospitalisation in patients undergoing non-invasive telemedicineNils Hinrichs, Alexander Meyer, Kerstin Koehler, et al.
Frontiers in Neurology|June 26, 2023
Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhageAbdullah Ahmed, Augusto Garcia-Agundez, Ivana Petrovic, et al.
JTCVS Open|November 13, 2024
Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysisAndrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
Research Square|January 10, 2024
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry AnalysisAndrew Kalra, Preetham Bachina, Benjamin L Shou, et al.
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