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Carsten Eickhoff

Institute for Bioinformatics and Medical Informatics

30H-index
268Paper Count
4.0KCitation Count
Published Papers 24
Publication Date
Monitoring students’ well-being through journal analysis—study protocol of an explorative approach using natural language processing on typed and transcribed entries to monitor and generate personalized feedback
err2026-08-30
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errNN Nadine N. Schmitt †; MD Michelle D. Schlicher †; AT Andreas Triantafyllopoulos; LS Lennart Seizer; CG Caterina Gawrilow; CE Carsten Eickhoff; BW Björn W. Schuller; JL Johanna Löchner
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Role prompting modulates linguistic style but not clinical decision structure in GPT-5 tumour board simulation
err2026-08-13
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errDerna Stifini; Andrea Della Penna; André L. Mihaljevic; Michael Bitzer; Carsten Eickhoff; Ivan Capobianco
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Exploring Facilitators and Barriers for Personalized Dietary Incentives Among Online Shoppers at Cardiovascular Risk and Key Informants to Inform an Automated Shopping Platform
err2025-12-01
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PREAI
errVadiveloo, Maya K.; Tovar, Alison; Elenio, Emily G.; Eickhoff, Carsten; San Soucie, John; Ewing, Sarah Feldstein; Gans, Kim M.; Thorndike, Anne N.
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Clinical Accuracy and Safety Concerns Following GPT-5 Public Demonstration in Cancer Care
err2025-11-29
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errIvan Capobianco; Andrea Della Penna; André L. Mihaljevic; Michael Bitzer; Carsten Eickhoff; Derna Stifini
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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 Study
err2025-01-21
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errEisinger, Felix; Holderried, Friederike; Mahling, Moritz; Stegemann-Philipps, Christian; Herrmann-Werner, Anne; Nazarenus, Eric; Sonanini, Alessandra; Guthoff, Martina; Eickhoff, Carsten; Holderried, Martin
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Identifying momentary suicidal ideation using machine learning in patients at high-risk for suicide
err2024-11-01
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PREAI
errBozzay, M. L.; Hughes, C. D.; Eickhoff, C.; Schatten, H.; Armey, M. F.
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A Language Model-Powered Simulated Patient With AutomatedFeedback for History Taking:Prospective Study
err2024-08-16
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errHolderried, Friederike; Stegemann-Philipps, Christian; Herrmann-Werner, Anne; Festl-Wietek, Teresa; Holderried, Martin; Eickhoff, Carsten; Mahling, Moritz
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Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study
err2024-07-16
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errBerman, Eliza; Malek, Holly Sundberg; Bitzer, Michael; Malek, Nisar; Eickhoff, Carsten
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Retrieval-Based Diagnostic Decision Support: Mixed Methods Study
err2024-06-19
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errAbdullahi, Tassallah; Mercurio, Laura; Singh, Ritambhara; Eickhoff, Carsten
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Transcriptional profiles of pulmonary artery endothelial cells in pulmonary hypertension
err2023-12-18
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errSingh, Navneet; Eickhoff, Carsten; Garcia-Agundez, Augusto; Bertone, Paul; Paudel, Sunita S.; Tambe, Dhananjay T.; Litzky, Leslie A.; Cox-Flaherty, Katherine; Klinger, James R.; Monaghan, Sean F.; Mullin, Christopher J.; Pereira, Mandy; Walsh, Thomas; Whittenhall, Mary; Stevens, Troy; Harrington, Elizabeth O.; Ventetuolo, Corey E.
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A feasibility study on AI-controlled closed-loop electrical stimulation implants
err2023-06-22
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errEickhoff, Steffen; Garcia-Agundez, Augusto; Haidar, Daniela; Zaidat, Bashar; Adjei-Mosi, Michael; Li, Peter; Eickhoff, Carsten
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An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data
err2022-01-14
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errKim, Chris K.; Choi, Ji Whae; Jiao, Zhicheng; Wang, Dongcui; Wu, Jing; Yi, Thomas Y.; Halsey, Kasey C.; Eweje, Feyisope; Tran, Thi My Linh; Liu, Chang; Wang, Robin; Sollee, John; Hsieh, Celina; Chang, Ken; Yang, Fang-Xue; Singh, Ritambhara; Ou, Jie-Lin; Huang, Raymond Y.; Feng, Cai; Feldman, Michael D.; Liu, Tao; Gong, Ji Sheng; Lu, Shaolei; Eickhoff, Carsten; Feng, Xue; Kamel, Ihab; Sebro, Ronnie; Atalay, Michael K.; Healey, Terrance; Fan, Yong; Liao, Wei-Hua; Wang, Jianxin; Bai, Harrison X.
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Weakly supervised pneumonia localization in chest X-rays using generative adversarial networks
err2021-10-26
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errKeshavamurthy, Krishna Nand; Eickhoff, Carsten; Juluru, Krishna
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CATS: Customizable Abstractive Topic-based Summarization
err2021-10-25
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PREAI
errBahrainian, Seyed Ali; Zerveas, George; Crestani, Fabio; Eickhoff, Carsten
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Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation
err2020-12-10
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errAbbasi, Adeel; Karasu, Yasmin; Li, Cindy; Sodha, Neel R.; Eickhoff, Carsten; Ventetuolo, Corey E.
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Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network
errRADIOLOGY
IF15.2
err2020-12-01
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PREAI
errStib, Matthew T.; Vasquez, Justin; Dong, Mary P.; Kim, Yun Ho; Subzwari, Sumera S.; Triedman, Harold J.; Wang, Amy; Wang, Hsin-Lei Charlene; Yao, Anthony D.; Jayaraman, Mahesh; Boxerman, Jerrold L.; Eickhoff, Carsten; Cetintemel, Ugur; Baird, Grayson L.; McTaggart, Ryan A.
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Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance
err2020-10-26
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errOAAI
errRank, Nina; Pfahringer, Boris; Kempfert, Joerg; Stamm, Christof; Kuehne, Titus; Schoenrath, Felix; Falk, Volkmar; Eickhoff, Carsten; Meyer, Alexander
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