A5011402291- Bone fractures and treatments
- Orthopedic Surgery and Rehabilitation
- Artificial Intelligence in Healthcare and Education
- Telemedicine and Telehealth Implementation
- Rheumatoid Arthritis Research and Therapies
- Radiomics and Machine Learning in Medical Imaging
- Social Media in Health Education
- Digital Mental Health Interventions
- Elbow and Forearm Trauma Treatment
- Innovations in Medical Education
- Spondyloarthritis Studies and Treatments
- Mobile Health and mHealth Applications
- Innovative Teaching Methods
- Education Methods and Technologies
- Hepatitis B Virus Studies
- Shoulder Injury and Treatment
- Hepatitis C virus research
- Systemic Sclerosis and Related Diseases
- Autoimmune and Inflammatory Disorders Research
- Sociology and Education Studies
- Spine and Intervertebral Disc Pathology
- Trauma and Emergency Care Studies
- Pelvic and Acetabular Injuries
- Radiology practices and education
- Diverse Scientific and Economic Studies
Universitätsklinikum Gießen und Marburg
2023-2025
Philipps University of Marburg
2023-2025
University Medical Center of the Johannes Gutenberg University Mainz
2009-2024
Johannes Gutenberg University Mainz
2012-2024
Bielefeld University
2020-2024
Technical University of Munich
2009-2024
Vivantes Klinikum
2017-2024
Charité - Universitätsmedizin Berlin
2017-2024
Deutsche Nationalbibliothek
2021-2023
Institut für Soziale Arbeit
2021-2023
Abstract High expression of EpCAM and the tetraspanin CO-029 has been associated with colorectal cancer progression. However, opposing results have reported on CD44 variant isoform v6 (CD44v6) expression. We recently noted in rat gastrointestinal tumors that EpCAM, claudin-7, CO-029, CD44v6 were frequently coexpressed could form a complex. This finding suggested possibly complex, rather than individual molecules, support tumor The was evaluated (n = 104), liver metastasis 66), tumor-free...
To assess patients' satisfaction with postoperative pain relief.A descriptive and questionnaire study of experience.Two surgical two gynaecological wards.50 Patients admitted to hospital for cholecystectomy 51 hysterectomy.Visual analogue scales no divisions were completed by the patients immediately after each dose analgesia was administered throughout their stay in hospital. A on fifth day recorded recollections experience. Opinions also sought from medical nursing staff.During first 24...
Background Health apps for the screening and diagnosis of mental disorders have emerged in recent years on various levels (eg, patients, practitioners, public health system). However, diagnostic quality these has not been (sufficiently) tested so far. Objective The objective this pilot study was to investigate a app broad spectrum its dependency expert knowledge. Methods Two psychotherapists, two psychology students, laypersons each read 20 case vignettes with disorders. They used (Ada—Your...
Symptom checkers are increasingly used to assess new symptoms and navigate the health care system. The aim of this study was compare accuracy an artificial intelligence (AI)-based symptom checker (Ada) physicians regarding presence/absence inflammatory rheumatic disease (IRD). In survey study, German-speaking with prior rheumatology working experience were asked determine IRD suggest diagnoses for 20 different real-world patient vignettes, which included only basic symptom-related medical...
With the recent diffusion of access to publicly available large language models (LLMs), common interest in generative artificial-intelligence-based applications for medical purposes has skyrocketed. The increased use these by tech-savvy patients personal health issues calls a scientific evaluation whether LLMs provide satisfactory level accuracy treatment decisions. This observational study compares concordance recommendations from popular LLM ChatGPT 3.5 with those multidisciplinary tumor...
Artificial intelligence (AI) and game-based methods such as serious games or gamification are both emerging technologies methodologies in health care. The merging of the two could provide greater advantages, particularly field therapeutic interventions medicine.
Abstract Purpose This study investigated the concordance of five different publicly available Large Language Models (LLM) with recommendations a multidisciplinary tumor board regarding treatment for complex breast cancer patient profiles. Methods Five LLM, including three versions ChatGPT (version 4 and 3.5, data access until September 3021 January 2022), Llama2, Bard were prompted to produce 20 LLM compared (gold standard), surgical, endocrine systemic treatment, radiotherapy, genetic...
EpCAM has been described as a therapeutically relevant tumor marker. We noted an interaction between and the tight junction protein claudin-7 here explored nature of this its effect on EpCAM-mediated functions. The was defined in HEK293 cells transfected with rat cDNA. Deletions epidermal growth factor-like thyroglobin repeat domains or cytoplasmic domain did not prevent EpCAM-claudin-7 association. A chimeric molecule exchange transmembrane point mutations AxxxG motif region do associate...
Large language models (LLMs), such as ChatGPT (Open AI), are increasingly used in medicine and supplement standard search engines information sources. This leads to more "consultations" of LLMs about personal medical symptoms.This study aims evaluate ChatGPT's performance answering clinical case-based questions otorhinolaryngology (ORL) comparison ORL consultants' answers.We 41 from established books past German state examinations for doctors. The were answered by both consultants 3. rated...
Telehealth interventions have become increasingly important in health care provision, particularly during the COVID-19 pandemic. Video calls emerged as a popular and effective method for delivering telehealth services; however, barriers limit adoption among allied professionals nurses.This review aimed to identify map perceived use of video call-based nurses.A comprehensive literature search was conducted PubMed CINAHL databases on June 22, 2022, updated January 3, 2023, following PRISMA-ScR...
Abstract Patients with axial spondyloarthritis (axSpA) require close monitoring to achieve the goal of sustained disease remission. Telehealth can facilitate continuous care while relieving scarce healthcare resources. In a mixed-methods proof-of-concept study, we investigated hybrid telehealth axSpA pathway in patients stable over 6 months. used medical app document activity (BASDAI and PtGA bi-weekly, flare questionnaire weekly). To enable remote ASDAS-CRP (TELE-ASDAS-CRP), capillary...
Background The COVID-19 pandemic has highlighted the growing relevance of telehealth in health care. Assessing care and nursing students’ competencies is crucial for its successful integration into education practice. Objective We aimed to assess perceived knowledge, skills, attitudes, experiences. In addition, we examine preferences content teaching methods within their curricula. Methods conducted a cross-sectional web-based study May 2022. A project-specific questionnaire, developed...
Psoriasis vulgaris (PsV) and psoriatic arthritis (PsA) are complex, multifactorial diseases significantly impacting health quality of life. Predicting treatment response disease progression is crucial for optimizing therapeutic interventions, yet challenging. Automated machine learning (AutoML) technology shows promise rapidly creating accurate predictive models based on patient features data.
Emerging digital technologies promise to improve breast cancer care, however lack of awareness among clinicians often prevents timely adoption. This study aims investigate current and intention-to-use three healthcare professionals (HCP): (1) health applications (DHA), (2) artificial intelligence (AI), (3) blockchain technology (BC). A 22-item questionnaire was designed administered before after a 30 min educational presentation highlighting implementation examples. Technology were measured...
Abstract Background The complex nature of rheumatic diseases poses considerable challenges for clinicians when developing individualized treatment plans. Large language models (LLMs) such as ChatGPT could enable decision support. Objective To compare plans generated by ChatGPT-3.5 and GPT-4 to those a clinical rheumatology board (RB). Design/methods Fictional patient vignettes were created GPT-3.5, GPT-4, the RB queried provide respective first- second-line with underlying justifications....
Abstract Introduction Tumor boards are a cornerstone of modern cancer treatment. Given their advanced capabilities, the role Large Language Models (LLMs) in generating tumor board decisions for otorhinolaryngology (ORL) head and neck surgery is gaining increasing attention. However, concerns over data protection use confidential patient information web-based LLMs have restricted widespread adoption hindered exploration full potential. In this first study its kind we compared standard human...
Prescribable digital health applications (DiGAs) present scalable solutions to improve patient self-management in rheumatology, however real-world evidence is scarce. Therefore, we aimed assess the effectiveness, usage, and usability of DiGAs prescribed by rheumatologists, as well satisfaction. The DiGAReal registry includes adult patients with rheumatic conditions who received a DiGA prescription. Data at baseline (T0) 3-month follow-up (T1) were collected through electronic questionnaires....
Abstract Axial spondyloarthritis (axSpA) is an inflammatory rheumatic disease primarily affecting the sacroiliac joints and spine, leading to chronic pain, fatigue, reduced mobility. The diagnostic delay for axSpA often long, causing significant physical, psychological, social burdens patients their relatives. This study aims explore patient journey of individuals with relatives within German healthcare system, identifying key challenges unmet needs from symptom onset diagnosis treatment. A...