Advancing health equity with artificial intelligence von Thomasian, Nicole M., Eickhoff, Carsten, Adashi, Eli Y.

Volltext

Towards Objective Quantification of Hand Tremors and Bradykinesia Using Contactless Sensors: A Systematic Review von Garcia-Agundez, Augusto, Eickhoff, Carsten

Volltext

Machine learning for real-time prediction of complications in critical care: a retrospective study von Meyer, Alexander, Zverinski, Dina, Pfahringer, Boris, Kempfert, Jörg, Kuehne, Titus, Sündermann, Simon H, Stamm, Christof, Hofmann, Thomas, Falk, Volkmar, Eickhoff, Carsten

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

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

Volltext

Machine learning to predict hemorrhage and thrombosis during extracorporeal membrane oxygenation von Abbasi, Adeel, Karasu, Yasmin, Li, Cindy, Sodha, Neel R, Eickhoff, Carsten, Ventetuolo, Corey E

Volltext

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... von Eisinger, Felix, Holderried, Friederike, Mahling, Moritz, Stegemann-Philipps, Christian, Herrmann-Werner, Anne, Nazarenus, Eric, Sonanini, Alessandra, Guthoff, Martina, Eickhoff, Carsten, Holderried, Martin

Volltext

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

Volltext

Transcriptional profiles of pulmonary artery endothelial cells in pulmonary hypertension von Singh, 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.

Volltext

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

Volltext

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

Volltext

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

Volltext

Multimodal attention-based deep learning for Alzheimer’s disease diagnosis von Golovanevsky, Michal, Eickhoff, Carsten, Singh, Ritambhara

Volltext

Unsupervised Learning of Parsimonious General-Purpose Embeddings for User and Location Modeling von Yang, Jing, Eickhoff, Carsten

Volltext

An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data von Kim, 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.

Volltext

Pre-operative lung ablation prediction using deep learning von Keshavamurthy, Krishna Nand, Eickhoff, Carsten, Ziv, Etay

Volltext