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Carsten Eickhoff

Showing results (21-30 of 47) with videos related to

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Frontiers in Pharmacology|February 27, 2023
Neural text generation in regulatory medical writingClaudia Meyer, Daniel Adkins, Koyena Pal, et al.
Artificial Intelligence in Medicine|March 26, 2026
Identifying and timing patient outcomes in clinician notes using large language modelsTassallah Abdullahi, Ali Hamzeh, Isaac Sears, et al.
Journal of Medical Systems|November 28, 2025
Clinical Accuracy and Safety Concerns Following GPT-5 Public Demonstration in Cancer CareIvan Capobianco, Andrea Della Penna, André L Mihaljevic, et al.
Critical Care (London, England)|December 11, 2020
Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenationAdeel Abbasi, Yasmin Karasu, Cindy Li, et al.
Scientific Reports|June 22, 2023
A feasibility study on AI-controlled closed-loop electrical stimulation implantsSteffen Eickhoff, Augusto Garcia-Agundez, Daniela Haidar, et al.
PLOS Digital Health|September 12, 2024
Short-term vital parameter forecasting in the intensive care unit: A benchmark study leveraging data from patients after cardiothoracic surgeryNils Hinrichs, Tobias Roeschl, Pia Lanmueller, et al.
JMIR Medical Education|August 16, 2024
A Language Model-Powered Simulated Patient With Automated Feedback for History Taking: Prospective StudyFriederike Holderried, Christian Stegemann-Philipps, Anne Herrmann-Werner, et al.
Clinical and Translational Radiation Oncology|March 20, 2026
Leveraging large language models to populate structured clinical case report forms from unstructured medical notes in radiation oncologyMarcel Nachbar, Nianzi Yi, Marcel Büttner, et al.
Computing in Cardiology|November 11, 2024
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac ArrestIsaac Sears, Augusto Garcia-Agundez, George Zerveas, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|October 10, 2020
Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid ResponsivenessMichael Blaivas, Laura Blaivas, Gary Philips, et al.
Pageof 5

Showing results (21-30 of 47) with videos related to

Sort By:
Pageof 5
Frontiers in Pharmacology|February 27, 2023
Neural text generation in regulatory medical writingClaudia Meyer, Daniel Adkins, Koyena Pal, et al.
Artificial Intelligence in Medicine|March 26, 2026
Identifying and timing patient outcomes in clinician notes using large language modelsTassallah Abdullahi, Ali Hamzeh, Isaac Sears, et al.
Journal of Medical Systems|November 28, 2025
Clinical Accuracy and Safety Concerns Following GPT-5 Public Demonstration in Cancer CareIvan Capobianco, Andrea Della Penna, André L Mihaljevic, et al.
Critical Care (London, England)|December 11, 2020
Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenationAdeel Abbasi, Yasmin Karasu, Cindy Li, et al.
Scientific Reports|June 22, 2023
A feasibility study on AI-controlled closed-loop electrical stimulation implantsSteffen Eickhoff, Augusto Garcia-Agundez, Daniela Haidar, et al.
PLOS Digital Health|September 12, 2024
Short-term vital parameter forecasting in the intensive care unit: A benchmark study leveraging data from patients after cardiothoracic surgeryNils Hinrichs, Tobias Roeschl, Pia Lanmueller, et al.
JMIR Medical Education|August 16, 2024
A Language Model-Powered Simulated Patient With Automated Feedback for History Taking: Prospective StudyFriederike Holderried, Christian Stegemann-Philipps, Anne Herrmann-Werner, et al.
Clinical and Translational Radiation Oncology|March 20, 2026
Leveraging large language models to populate structured clinical case report forms from unstructured medical notes in radiation oncologyMarcel Nachbar, Nianzi Yi, Marcel Büttner, et al.
Computing in Cardiology|November 11, 2024
Leveraging Unlabeled Electroencephalographic Data to Predict Neurological Recovery for Comatose Patients Following Cardiac ArrestIsaac Sears, Augusto Garcia-Agundez, George Zerveas, et al.
Journal of Ultrasound in Medicine : Official Journal of the American Institute of Ultrasound in Medicine|October 10, 2020
Development of a Deep Learning Network to Classify Inferior Vena Cava Collapse to Predict Fluid ResponsivenessMichael Blaivas, Laura Blaivas, Gary Philips, et al.
Pageof 5