Sökresultat - Carsten Eickhoff

Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models av Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff

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The topology of molecular representations and its influence on machine learning performance av Florian Rottach, Sebastian Schieferdecker, Carsten Eickhoff

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Retrieval-Based Diagnostic Decision Support: Mixed Methods Study av Tassallah Abdullahi, Laura Mercurio, Ritambhara Singh, Carsten Eickhoff

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Editorial: The Potential of Machine-learning in Pharmacogenetics, Pharmacogenomics and Pharmacoepidemiology: Volume II av Augusto Garcia-Agundez, Elena Garcia-Martin, Carsten Eickhoff

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Retrieval Augmented Therapy Suggestion for Molecular Tumor Boards: Algorithmic Development and Validation Study av Eliza Berman, Holly Sundberg Malek, Michael Bitzer, Nisar Malek, Carsten Eickhoff

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Leveraging large language models to populate structured clinical case report forms from unstructured medical notes in radiation oncology av Marcel Nachbar, Nianzi Yi, Marcel Büttner, Cihan Gani, Maximilian Niyazi, Augusto Garcia-Agundez, Carsten Eickhoff, Daniela Thorwarth

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A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study av Friederike Holderried, Christian Stegemann-Philipps, Anne Herrmann-Werner, Teresa Festl-Wietek, Martin Holderried, Carsten Eickhoff, Moritz Mahling

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Short-term vital parameter forecasting in the intensive care unit: A benchmark study leveraging data from patients after cardiothoracic surgery. av Nils Hinrichs, Tobias Roeschl, Pia Lanmueller, Felix Balzer, Carsten Eickhoff, Benjamin O'Brien, Volkmar Falk, Alexander Meyer

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Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance av Nina Rank, Boris Pfahringer, Jörg Kempfert, Christof Stamm, Titus Kühne, Felix Schoenrath, Volkmar Falk, Carsten Eickhoff, Alexander Meyer

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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: Prospe... av Felix Eisinger, Friederike Holderried, Moritz Mahling, Christian Stegemann–Philipps, Anne Herrmann–Werner, Eric Nazarenus, Alessandra Sonanini, Martina Guthoff, Carsten Eickhoff, Martin Holderried

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Delirium detection using wearable sensors and machine learning in patients with intracerebral hemorrhage av Abdullah Ahmed, Augusto Garcia-Agundez, Augusto Garcia-Agundez, Ivana Petrovic, Fatemeh Radaei, James Fife, John Zhou, Hunter Karas, Scott Moody, Jonathan Drake, Richard N. Jones, Carsten Eickhoff, Michael E. Reznik

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Artificial intelligence based real-time prediction of imminent heart failure hospitalisation in patients undergoing non-invasive telemedicine av Nils Hinrichs, Nils Hinrichs, Alexander Meyer, Alexander Meyer, Alexander Meyer, Alexander Meyer, Alexander Meyer, Kerstin Koehler, Thomas Kaas, Meike Hiddemann, Sebastian Spethmann, Felix Balzer, Carsten Eickhoff, Volkmar Falk, Volkmar Falk, Volkmar Falk, Volkmar Falk, Gerhard Hindricks, Gerhard Hindricks, Nikolaos Dagres, Friedrich Koehler

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Transcriptional profiles of pulmonary artery endothelial cells in pulmonary hypertension av Navneet Singh, Carsten Eickhoff, Augusto Garcia-Agundez, Paul Bertone, Sunita S. Paudel, Dhananjay T. Tambe, Leslie A. Litzky, Katherine Cox-Flaherty, James R. Klinger, Sean F. Monaghan, Christopher J. Mullin, Mandy Pereira, Thomas Walsh, Mary Whittenhall, Troy Stevens, Elizabeth O. Harrington, Corey E. Ventetuolo

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An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data av Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael K. Atalay, Terrance Healey, Yong Fan, Wei-Hua Liao, Jianxin Wang, Harrison X. Bai

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Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysisCentral MessagePerspective av Andrew Kalra, BS, Preetham Bachina, BS, Benjamin L. Shou, BS, Jaeho Hwang, MD, Meylakh Barshay, BA, Shreyas Kulkarni, BS, Isaac Sears, BS, Carsten Eickhoff, PhD, Christian A. Bermudez, MD, Daniel Brodie, MD, Corey E. Ventetuolo, MD, MS, Glenn J.R. Whitman, MD, Adeel Abbasi, MD, ScM, Sung-Min Cho, DO, MHS, Bo Soo Kim, David Hager, Steven P. Keller, Errol L. Bush, R. Scott Stephens, Shivalika Khanduja, Jin Kook Kang, Ifeanyi David Chinedozi, Zachary Darby, Hannah J. Rando, Trish Brown, Jiah Kim, Christopher Wilcox, Albert Leng, Andrew Geeza, Armaan F. Akbar, Chengyuan Alex Feng, David Zhao, Marc Sussman, Pedro Alejandro Mendez-Tellez, Philip Sun, Karlo Capili, Ramon Riojas, Diane Alejo, Scott Stephen, Harry Flaster

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Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization... av Andrew Kalra, BS, Preetham Bachina, BS, Benjamin L. Shou, BS, Jaeho Hwang, MD, MPH, Meylakh Barshay, BS, Shreyas Kulkarni, BS, Isaac Sears, BS, Carsten Eickhoff, PhD, Christian A. Bermudez, MD, Daniel Brodie, MD, Corey E. Ventetuolo, MD, MS, Bo Soo Kim, MD, Glenn J.R. Whitman, MD, Adeel Abbasi, MD, ScM, Sung-Min Cho, DO, MHS, Bo Soo Kim, David Hager, Steven P. Keller, Errol L. Bush, R. Scott Stephens, Shivalika Khanduja, Jin Kook Kang, Ifeanyi David Chinedozi, Zachary Darby, Hannah J. Rando, Trish Brown, Jiah Kim, Christopher Wilcox, Albert Leng, Andrew Geeza, Armaan F. Akbar, Chengyuan Alex Feng, David Zhao, Marc Sussman, Pedro Alejandro Mendez-Tellez, Philip Sun, Karlo Capili, Ramon Riojas, Diane Alejo, Scott Stephen, Harry Flaster

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