Carsten Eickhoff

Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Venues

JMIR medical education

Research square

JMIR medical informatics

NPJ digital medicine

Brown University

Technische Universiteit Delft (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Brown University Feb 01 2018

United States

Assistant Professor

ETH Zurich Oct 01 2014 - Jan 31 2018

Switzerland

Postdoc

Education History

Technische Universiteit Delft Dec 01 2009 - Oct 14 2014

Netherlands

PHD

The University of Edinburgh Aug 01 2008 - Nov 01 2009

United Kingdom

MSC

Publications

Friederike Holderried, Christian Stegemann-Philipps, Anne Herrmann-Werner, Teresa Festl-Wietek, Martin Holderried, Carsten Eickhoff, Moritz Mahling
A Language Model-Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study. JMIR medical education 10 (2024)
Tassallah Abdullahi, Laura Y Mercurio, Ritambhara Singh, Carsten Eickhoff
Retrieval-Based Diagnostic Decision Support: Mixed Methods Study. JMIR medical informatics 12 (2024)
Tassallah Abdullahi, Laura Y Mercurio, Ritambhara Singh, Carsten Eickhoff
Retrieval-Based Diagnostic Decision Support: Mixed Methods Study. JMIR medical informatics 12 (2024)
Friederike Holderried, Christian Stegemann-Philipps, Anne Herrmann-Werner, Teresa Festl-Wietek, Martin Holderried, Carsten Eickhoff, Moritz Mahling
A Language Model-Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study. JMIR medical education 10 (2024)
Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff
Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models. JMIR medical education 10 (2024)
Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff
Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models. JMIR medical education 10 (2024)
Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff
Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models. JMIR medical education 10 (2024)
Andrew Kalra, Preetham Bachina, Benjamin L Shou, Jaeho Hwang, Meylakh Barshay, Shreyas Kulkarni, Isaac Sears, Carsten Eickhoff, Christian A Bermudez, Daniel Brodie, Corey E Ventetuolo, Bo Soo Kim, Glenn J R Whitman, Adeel Abbasi, Sung-Min Cho
Predicting Acute Brain Injury in Venoarterial Extracorporeal Membrane Oxygenation Patients with Tree-Based Machine Learning: Analysis of the Extracorporeal Life Support Organization Registry. Research square (2024)
Friederike Holderried, Christian Stegemann-Philipps, Anne Herrmann-Werner, Teresa Festl-Wietek, Martin Holderried, Carsten Eickhoff, Moritz Mahling
A Language Model-Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study. JMIR medical education 10 (2024)
Andrew Kalra, Preetham Bachina, Benjamin L Shou, Jaeho Hwang, Meylakh Barshay, Shreyas Kulkarni, Isaac Sears, Carsten Eickhoff, Christian A Bermudez, Daniel Brodie, Corey E Ventetuolo, Bo Soo Kim, Glenn J R Whitman, Adeel Abbasi, Sung-Min Cho
Predicting Acute Brain Injury in Venoarterial Extracorporeal Membrane Oxygenation Patients with Tree-Based Machine Learning: Analysis of the Extracorporeal Life Support Organization Registry. Research square (2024)
Tassallah Abdullahi, Ritambhara Singh, Carsten Eickhoff
Learning to Make Rare and Complex Diagnoses With Generative AI Assistance: Qualitative Study of Popular Large Language Models. JMIR medical education 10 (2024)
Tassallah Abdullahi, Laura Y Mercurio, Ritambhara Singh, Carsten Eickhoff
Retrieval-Based Diagnostic Decision Support: Mixed Methods Study. JMIR medical informatics 12 (2024)
Tassallah Abdullahi, Laura Y Mercurio, Ritambhara Singh, Carsten Eickhoff
Retrieval-Based Diagnostic Decision Support: Mixed Methods Study. JMIR medical informatics 12 (2024)
Andrew Kalra, Preetham Bachina, Benjamin L Shou, Jaeho Hwang, Meylakh Barshay, Shreyas Kulkarni, Isaac Sears, Carsten Eickhoff, Christian A Bermudez, Daniel Brodie, Corey E Ventetuolo, Glenn J R Whitman, Adeel Abbasi, Sung-Min Cho
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis. Research square (2023)
Andrew Kalra, Preetham Bachina, Benjamin L Shou, Jaeho Hwang, Meylakh Barshay, Shreyas Kulkarni, Isaac Sears, Carsten Eickhoff, Christian A Bermudez, Daniel Brodie, Corey E Ventetuolo, Glenn J R Whitman, Adeel Abbasi, Sung-Min Cho
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis. Research square (2023)
Andrew Kalra, Preetham Bachina, Benjamin L Shou, Jaeho Hwang, Meylakh Barshay, Shreyas Kulkarni, Isaac Sears, Carsten Eickhoff, Christian A Bermudez, Daniel Brodie, Corey E Ventetuolo, Glenn J R Whitman, Adeel Abbasi, Sung-Min Cho
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis. Research square (2023)
Andrew Kalra, Preetham Bachina, Benjamin L Shou, Jaeho Hwang, Meylakh Barshay, Shreyas Kulkarni, Isaac Sears, Carsten Eickhoff, Christian A Bermudez, Daniel Brodie, Corey E Ventetuolo, Glenn J R Whitman, Adeel Abbasi, Sung-Min Cho
Utilizing Machine Learning to Predict Neurological Injury in Venovenous Extracorporeal Membrane Oxygenation Patients: An Extracorporeal Life Support Organization Registry Analysis. Research square (2023)
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, Jian-Xin Wang, Harrison X Bai
An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. NPJ digital medicine 5 (1) (2022)
Krishna Nand Keshava Murthy, Carsten Eickhoff, Krishna Juluru
Weakly supervised pneumonia localization in chest X-rays using generative adversarial networks. Medical physics 48 (11) (2021)
Matthew T Stib, Justin Vasquez, Mary P Dong, Yun Ho Kim, Sumera S Subzwari, Harold J Triedman, Amy Wang, Hsin-Lei Charlene Wang, Anthony D Yao, Mahesh V Jayaraman, Jerrold L Boxerman, Carsten Eickhoff, Ugur Cetintemel, Grayson L Baird, Ryan A McTaggart
Detecting Large Vessel Occlusion at Multiphase CT Angiography by Using a Deep Convolutional Neural Network. Radiology 297 (3) (2020)
Nina Rank, Boris Pfahringer, Jörg Kempfert, Christof Stamm, Titus Kuehne, Felix Schoenrath, Volkmar Falk, Carsten Eickhoff, Alexander Meyer
Deep-learning-based real-time prediction of acute kidney injury outperforms human predictive performance. NPJ digital medicine 3 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Carsten Eickhoff