Christoph M. Friedrich

Challenges in AI Based Tumor Board Case Summarization and Recommendations.

Journal: Research square

Published: June 29, 2026

Advancing multimodal neuroimaging: Explainable and responsible AI for early dementia detection.

Journal: NeuroImage

Published: May 13, 2026

LLM-Generated Lay-Language Protocols for Molecular Tumor Board Patients: Evaluation of Quality and Clinical Usability.

Journal: Journal of medical Internet research

Published: April 22, 2026

Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study.

Journal: Journal of medical Internet research

Published: January 29, 2026

Development and validation of multivariable prognostic machine learning models to identify patients at risk for inadequate bowel preparation when undergoing colonoscopy: a prospective, multicentre study.

Journal: BMJ open gastroenterology

Published: January 02, 2026

A real-time dashboard for optimizing blood product utilization through a FHIR-based data integration pipeline.

Journal: Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis

Published: January 01, 2026

A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification.

Journal: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

Published: December 03, 2025

Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: machine learning results from the German National Cohort (NAKO) study.

Journal: Translational psychiatry

Published: October 02, 2025

Correction: Fully volumetric body composition analysis for prognostic overall survival stratification in melanoma patients.

Journal: Journal of translational medicine

Published: May 28, 2025

Challenges in AI Based Tumor Board Case Summarization and Recommendations.

Challenges in AI Based Tumor Board Case Summarization and Recommendations.

Advancing multimodal neuroimaging: Explainable and responsible AI for early dementia detection.

Advancing multimodal neuroimaging: Explainable and responsible AI for early dementia detection.

LLM-Generated Lay-Language Protocols for Molecular Tumor Board Patients: Evaluation of Quality and Clinical Usability.

LLM-Generated Lay-Language Protocols for Molecular Tumor Board Patients: Evaluation of Quality and Clinical Usability.

Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study.

Extracting Medical Information From Unstructured Clinical Text Using Large Language Models to Enhance Health Care Interoperability: Proof-of-Concept Study.

Development and validation of multivariable prognostic machine learning models to identify patients at risk for inadequate bowel preparation when undergoing colonoscopy: a prospective, multicentre study.

Development and validation of multivariable prognostic machine learning models to identify patients at risk for inadequate bowel preparation when undergoing colonoscopy: a prospective, multicentre study.

A real-time dashboard for optimizing blood product utilization through a FHIR-based data integration pipeline.

A real-time dashboard for optimizing blood product utilization through a FHIR-based data integration pipeline.

A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports.

A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports.

Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification.

Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification.

Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: machine learning results from the German National Cohort (NAKO) study.

Multimodal phenotypic classification of generalized anxiety and panic using structural MRI data and psychosocial factors: machine learning results from the German National Cohort (NAKO) study.

Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification.

Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification.

MRI-based Radiomics and volumetrics for predicting the onset of Alzheimer's Disease with explainable machine learning.

MRI-based Radiomics and volumetrics for predicting the onset of Alzheimer's Disease with explainable machine learning.

Correction: Fully volumetric body composition analysis for prognostic overall survival stratification in melanoma patients.

Correction: Fully volumetric body composition analysis for prognostic overall survival stratification in melanoma patients.