Ingrisch, Michael

ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports

Jeblick, K., Schachtner, B., Dexl, J., Mittermeier, A., Stüber, A. T., Topalis, J., Weber, T., Wesp, P., Sabel, B. O., Ricke, J., et al. (2023) · European Radiology

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 549

Quantifying blood‐brain barrier leakage in small vessel disease: Review and consensus recommendations

Thrippleton, M. J., Backes, W. H., Sourbron, S., Ingrisch, M., van Osch, M. J. P., Dichgans, M., Fazekas, F., Ropele, S., Frayne, R., van Oostenbrugge, R. J., et al. (2019) · Alzheimer's & Dementia

Barrier Structure and Function StudiesCerebrovascular and genetic disorders

Cited by 252

ChatGPT Makes Medicine Easy to Swallow: An Exploratory Case Study on Simplified Radiology Reports

Jeblick, K., Schachtner, B., Dexl, J., Mittermeier, A., Stüber, A. T., Topalis, J., Weber, T., Wesp, P., Sabel, B., Ricke, J., et al. (2022) · arXiv

Artificial Intelligence in Healthcare and EducationExplainable Artificial Intelligence (XAI)

Cited by 97

Machine Learning-Based Differentiation of Benign and Premalignant Colorectal Polyps Detected with CT Colonography in an Asymptomatic Screening Population: A Proof-Of-Concept Study

Grosu, S., Wesp, P., Graser, A., Maurus, S., Schulz, C., Knösel, T., Cyran, C. C., Ricke, J., Ingrisch, M., & Kazmierczak, P. M. (2021) · Radiology

Radiomics and Machine Learning in Medical ImagingColorectal Cancer Screening and Detection

Cited by 75

Contrast enhancement is a prognostic factor in IDH1/2 mutant, but not in wild-type WHO grade II/III glioma as confirmed by machine learning

Suchorska, B., Schüller, U., Biczok, A., Lenski, M., Albert, N. L., Giese, A., Kreth, F.-W., Ertl-Wagner, B., Tonn, J.-C., & Ingrisch, M. (2019) · European Journal of Cancer

Glioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

Cited by 59