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

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Editorial: The Potential of Machine Learning in Pharmacogenetics, Pharmacogenomics and Pharmacoepidemiology by Augusto Garcia-Agundez, Elena García-Martín, Carsten Eickhoff

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Retrieval-Based Diagnostic Decision Support: Mixed Methods Study by 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 by 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 by Eliza Berman, Holly Sundberg Malek, Michael Bitzer, Nisar Malek, Carsten Eickhoff

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Neural text generation in regulatory medical writing by Claudia Meyer, Daniel Adkins, Koyena Pal, Ruggero Galici, Augusto Garcia-Agundez, Carsten Eickhoff 

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A feasibility study on AI-controlled closed-loop electrical stimulation implants by Steffen Eickhoff, Augusto Garcia-Agundez, Daniela Haidar, Bashar Zaidat, Michael Adjei-Mosi, Peter Li, Carsten Eickhoff

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A Language Model–Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study by 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. by 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 by 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... by 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 by 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 by 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 by 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 by 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 by 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... by 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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