Knitza, Johannes

Mobile Health Usage, Preferences, Barriers, and eHealth Literacy in Rheumatology: Patient Survey Study

Knitza, J., Simon, D., Lambrecht, A., Raab, C., Tascilar, K., Hagen, M., Kleyer, A., Bayat, S., Derungs, A., Amft, O., et al. (2020) · JMIR mHealth and uHealth

Mobile Health and mHealth ApplicationsHealth Literacy and Information Accessibility

Cited by 201

Diagnostic accuracy of a large language model in rheumatology: comparison of physician and ChatGPT-4

Krusche, M., Callhoff, J., Knitza, J., & Ruffer, N. (2023) · Rheumatology International

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 116

Real-world usage of digital health applications (DiGA) in rheumatology: results from a German patient survey

Labinsky, H., Gupta, L., Raimondo, M. G., Schett, G., & Knitza, J. (2022) · Rheumatology International

Mobile Health and mHealth ApplicationsDigital Mental Health Interventions

Cited by 62

Evolution of publicly available large language models for complex decision-making in breast cancer care

Griewing, S., Knitza, J., Boekhoff, J., Hillen, C., Lechner, F., Wagner, U., Wallwiener, M., & Kuhn, S. (2024) · Archives of Gynecology and Obstetrics

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 38

Accuracy and usability of a diagnostic decision support system in the diagnosis of three representative rheumatic diseases: a randomized controlled trial among medical students

Knitza, J., Tascilar, K., Gruber, E., Kaletta, H., Hagen, M., Liphardt, A.-M., Schenker, H., Krusche, M., Wacker, J., Kleyer, A., et al. (2021) · Arthritis Research & Therapy

Artificial Intelligence in Healthcare and EducationClinical Reasoning and Diagnostic Skills

Cited by 38

Patient experiences, attitudes, and profiles regarding artificial intelligence in rheumatology: a German national cross-sectional survey study

Labinsky, H., Klemm, P., Graalmann, L., Thiele, T., Hornig, J., Fink, D., Morf, H., Mucke, J., Kiltz, U., Pecher, A.-C., et al. (2025) · Rheumatology International

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 20

Comparative analysis of large language models and traditional diagnostic decision support systems for rare rheumatic disease identification

Kremer, P., Schiebisch, H., Lechner, F., Haase, I., Cirkel, L., Kötter, I., Kuhn, S., Krusche, M., & Knitza, J. (2025) · EULAR Rheumatology Open

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 17

Artificial intelligence in rheumatology: status quo and quo vadis—results of a national survey among German rheumatologists

Holzer, M.-T., Meinecke, A., Müller, F., Haase, I., Morf, H., Witte, T., Labinsky, H., Klemm, P., Knitza, J., & Krusche, M. (2024) · Therapeutic Advances in Musculoskeletal Disease

Artificial Intelligence in Healthcare and EducationArtificial Intelligence Applications

Cited by 12

Harnessing Large Language Models for Rheumatic Disease Diagnosis: Advancing Hybrid Care and Task Shifting

Lechner, F., Kuhn, S., & Knitza, J. (2025) · International Journal of Rheumatic Diseases

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 11

Acceptance and perceived usefulness of digital health services in the management of chronic urticaria: a survey of patients and physicians

Hindelang, M., Zink, A., Knitza, J., Darkow, R., Welcker, M., Biedermann, T., May, S., & Muehlensiepen, F. (2025) · BMC Health Services Research

Telemedicine and Telehealth ImplementationMobile Health and mHealth Applications

Cited by 4