Felix Busch

Publications

• RPS 509-2 CT-Guided High-Dose-Rate Brachytherapy (CT-HDRBT) & combined transarterial chemoembolisation with irinotecan-loaded microspheres vs. CT-HDRBT in patients with unresectable colorectal liver metastases
• P-25 / Predicting the hepato-pulmonary shunt fraction on contrast-enhanced CT in patients with hepatocellular carcinoma before transarterial radioembolization
• Blind spots on western blots: a meta-research study highlighting opportunities to improve figures and methods reporting
• Prostate158 - An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection
• Blind spots on western blots: Assessment of common problems in western blot figures and methods reporting with recommendations to improve them
• What Does DALL-E 2 Know About Radiology?
• What Does DALL-E 2 Know About Radiology? (Preprint)
• Dataset of prostate MRI annotated for anatomical zones and cancer
• Sex Differences in Renal Cell Carcinoma: The Importance of Body Composition
• Non-Invasive Imaging Biomarkers to Predict the Hepatopulmonary Shunt Fraction Before Transarterial Radioembolization in Patients with Hepatocellular Carcinoma
• ASO Visual Abstract: Sex Differences in Renal Cell Carcinoma: The Importance of Body Composition
• Effectiveness of an intensive care telehealth programme to improve process quality (ERIC): a multicentre stepped wedge cluster randomised controlled trial
• Prostate158-An expert-annotated 3T MRI dataset and algorithm for prostate cancer detection
• Combined CT-guided high-dose-rate brachytherapy (CT-HDRBT) and transarterial chemoembolization with irinotecan-loaded microspheres improve local tumor control and progression-free survival in patients with unresectable colorectal liver metastases compared with mono-CT-HDRBT
• Dual Center Validation of Deep Learning for Automated Multi-Label Segmentation of Thoracic Anatomy in Bedside Chest Radiographs
• WHAT DOES DALL-E 2 KNOW ABOUT RADIOLOGY?
• Dual center validation of deep learning for automated multi-label segmentation of thoracic anatomy in bedside chest radiographs
• Leveraging GPT-4 for Post Hoc Transformation of Free-Text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study
• Leveraging GPT-4 for Post Hoc Transformation of Free-text Radiology Reports into Structured Reporting: A Multilingual Feasibility Study
• Biomedical Ethical Aspects Towards the Implementation of Artificial Intelligence in Medical Education
• medBERT.de: A Comprehensive German BERT Model for the Medical Domain
• International Pharmacy Students' Perceptions Towards Artificial Intelligence in Medicine – A Multinational, Multicentre Cross‐Sectional Study
• medBERT.de: A comprehensive German BERT model for the medical domain
• International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study
• MEDBERT.DE: A COMPREHENSIVE GERMAN BERT MODEL FOR THE MEDICAL DOMAIN
• Mapping gender and geographic diversity in artificial intelligence research: Editor representation in leading computer science journals
• From Text to Image: GPT-4V's Potential for Advanced Radiological Tasks across Subspecialties (Preprint)
• Medical students' perceptions towards artificial intelligence in education and practice: A multinational, multicenter cross-sectional study
• Medical students’ perceptions towards artificial intelligence in education and practice: A multinational, multicenter cross-sectional study
• Dataset: From Global Health to Global Warming: Tracing Climate Change Interest During the First Two Years of COVID-19 using Google Trends Data from the United States
• From Global Health to Global Warming: Tracing Climate Change Interest during the First Two Years of COVID-19 Using Google Trends Data from the United States
• Dataset: International Pharmacy Students' Perceptions Towards Artificial Intelligence in Medicine - A Multinational, Multicentre Cross-Sectional Study
• Dataset: Mapping gender and geographic diversity in artificial intelligence research: Editor representation in leading computer science journals
• Spotlight on the biomedical ethical integration of AI in medical education – Response to: ‘An explorative assessment of ChatGPT as an aid in medical education: Use it with caution’
• MEDBERT.de: A Comprehensive German BERT Model for the Medical Domain
• Systematic Review of Large Language Models for Patient Care: Current Applications and Challenges
• LongHealth: A Question Answering Benchmark with Long Clinical Documents
• Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties (Preprint)
• Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties (Preprint)
• Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties
• Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports
• Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions
• The clinical value of the hepatic venous pressure gradient in patients undergoing hepatic resection for hepatocellular carcinoma with or without liver cirrhosis
• Editorial for “A Nomogram Based on MRI Visual Decision Tree to Evaluate Vascular Endothelial Growth Factor in Hepatocellular Carcinoma”
• MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences
• Open Access Data and Deep Learning for Cardiac Device Identification on Standard DICOM and Smartphone-based Chest Radiographs
• Correction: Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties
• Correction: Integrating Text and Image Analysis: Exploring GPT-4V’s Capabilities in Advanced Radiological Applications Across Subspecialties (Preprint)
• Navigating the European Union Artificial Intelligence Act for Healthcare
• Llama 3 Challenges Proprietary State-of-the-Art Large Language Models in Radiology Board–style Examination Questions
• Dataset: Multinational attitudes towards AI in healthcare and diagnostics among hospital patients: Cross-sectional evidence from the COMFORT study
• Dataset: Multinational attitudes towards AI in healthcare and diagnostics among hospital patients: Cross-sectional evidence from the COMFORT study
• Multinational attitudes towards AI in healthcare and diagnostics among hospital patients
• Dataset: Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties
• Dataset: Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties
• Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties
• Additional file 1 of Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties
• Additional file 2 of Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties
• Additional file 2 of Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties
• Additional file 1 of Global cross-sectional student survey on AI in medical, dental, and veterinary education and practice at 192 faculties
• Large language models for structured reporting in radiology: past, present, and future
• Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports
• Multilingual feasibility of GPT-4o for automated Voice-to-Text CT and MRI report transcription
• Autonomous medical evaluation for guideline adherence of large language models
• Large Language Model Ability to Translate CT and MRI Free-Text Radiology Reports Into Multiple Languages
• Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
• Artificial intelligence in radiology and radiotherapy
• Current applications and challenges in large language models for patient care: a systematic review
• AI regulation in healthcare around the world: what is the status quo?
• Evaluating the Effectiveness of Biomedical Fine-Tuning for Large Language Models on Clinical Tasks
• Dataset for Segmentation and Classification of Cardiac Implantable Electronic Devices in Chest X-Rays
• Dataset for Segmentation and Classification of Cardiac Implantable Electronic Devices in Chest X-Rays
• I S OPEN- SOURCE THERE YET? A COMPARATIVE STUDY ON COMMERCIAL AND OPEN- SOURCE LLMS IN THEIR ABILITY TO LABEL C HEST X-R AY REPORTS
• Evaluation of a Retrieval-Augmented Generation-Powered Chatbot for Pre-CT Informed Consent: a Prospective Comparative Study
• Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks
• Evaluating Large Language Model-Generated Brain MRI Protocols: Performance of GPT4o, o3-mini, DeepSeek-R1 and Qwen2.5-72B
• Intermuscular adipose tissue and lean muscle mass assessed with MRI in people with chronic back pain in Germany: a retrospective observational study
• Cybersecurity Threats and Mitigation Strategies for Large Language Models in Health Care
• LLM Reasoning Does Not Protect Against Clinical Cognitive Biases - An Evaluation Using BiasMedQA
• Segmenting Whole-Body MRI and CT for Multiorgan Anatomic Structure Delineation
• Performance of open-source and proprietary large language models in generating patient-friendly radiology chest CT reports
• Large Language Models for Simplified Interventional Radiology Reports: A Comparative Analysis
• Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks
• Leveraging large language models for accurate classification of liver lesions from MRI reports
• Multinational Attitudes Toward AI in Health Care and Diagnostics Among Hospital Patients
• LongHealth: A Question Answering Benchmark with Long Clinical Documents
• Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021
• Evaluating Accuracy and Reasoning Capabilities of Large Language Models for Acute Ischemic Stroke Management
• Privacy-preserving Deep Learning in Medical Imaging: Feasibility and Challenges
• LongHealth: A Question Answering Benchmark with Long Clinical Documents
• Evaluating large language model-generated brain MRI protocols: performance of GPT4o, o3-mini, DeepSeek-R1 and Qwen2.5-72B
• Shaping the future of radiology: AI from the point of view of young experts,Radiologische Zukunft gestalten: KI aus Sicht junger Expert*innen
• LongHealth: A QUESTION ANSWERING BENCHMARK WITH LONG CLINICAL DOCUMENTS
• FROM TEXT TO IMAGE: EXPLORING GPT-4VISION’S POTENTIAL IN ADVANCED RADIOLOGICAL ANALYSIS ACROSS SUBSPECIALTIES
• Spotlight on the biomedical ethical integration of AI in medical education–Response to: ‘An explorative assessment of ChatGPT as an aid in medical education: Use it with caution’
• Comparative Analysis of GPT-4Vision, GPT-4 and Open Source LLMs in Clinical Diagnostic Accuracy: A Benchmark Against Human Expertise
• Deep learning-enabled MRI phenotyping uncovers regional body composition heterogeneity and disease associations in two European population cohorts
• Improving Reliability and Explainability of Medical Question Answering through Atomic Fact Checking in Retrieval-Augmented LLMs
• Privacy-Preserving Generation of Structured Lymphoma Progression Reports from Cross-sectional Imaging: A Comparative Analysis of Llama 3.3 and Llama 4
• BIOMEDICAL LARGE LANGUAGES MODELS SEEM NOT TO BE SUPERIOR TO GENERALIST MODELS ON UNSEEN MEDICAL DATA
• Real-world clinical impact of three commercial AI algorithms on musculoskeletal radiography interpretation: A prospective crossover reader study
• Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis
• IS OPEN-SOURCE THERE YET? A COMPARATIVE STUDY ON COMMERCIAL AND OPEN-SOURCE LLMS IN THEIR ABILITY TO LABEL CHEST X-RAY REPORTS
• Global, regional, and national trends in routine childhood vaccination coverage from 1980 to 2023 with forecasts to 2030: a systematic analysis for the Global Burden of Disease Study 2023
• Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive Autonomy? (Preprint)
• Generative Artificial Intelligence in Medical Education: Enhancing Critical Thinking or Undermining Cognitive Autonomy?