Bachmann, Lucas M.

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

Liu, X., Faes, L., Kale, A. U., Wagner, S. K., Fu, D. J., Bruynseels, A., Mahendiran, T., Moraes, G., Shamdas, M., Kern, C., et al. (2019) · The Lancet Digital Health

Artificial Intelligence in Healthcare and EducationAI in cancer detection

Cited by 1,883

A readers' guide to the interpretation of diagnostic test properties: clinical example of sepsis

Fischer, J. E., Bachmann, L. M., & Jaeschke, R. (2003) · Intensive Care Medicine

Sepsis Diagnosis and TreatmentMeta-analysis and systematic reviews

Cited by 890

The role of fear avoidance beliefs as a prognostic factor for outcome in patients with nonspecific low back pain: A systematic review

Wertli, M. M., Rasmussen-Barr, E., Weiser, S., Bachmann, L. M., & Brunner, F. (2014) · The Spine Journal

Musculoskeletal pain and rehabilitationMedical Practices and Rehabilitation

Cited by 479

Fear-avoidance beliefs—a moderator of treatment efficacy in patients with low back pain: a systematic review

Wertli, M. M., Rasmussen-Barr, E., Held, U., Weiser, S., Bachmann, L. M., & Brunner, F. (2014) · The Spine Journal

Musculoskeletal pain and rehabilitationMedical Practices and Rehabilitation

Cited by 343

Endometrial Thickness Measurement for Detecting Endometrial Cancer in Women With Postmenopausal Bleeding: A Systematic Review and Meta-Analysis

Timmermans, A., Opmeer, B. C., Khan, K. S., Bachmann, L. M., Epstein, E., Clark, T. J., Gupta, J. K., Bakour, S. H., van den Bosch, T., van Doorn, H. C., et al. (2010) · Obstetrics & Gynecology

Endometrial and Cervical Cancer TreatmentsGynecological conditions and treatments

Cited by 312

Sample sizes of studies on diagnostic accuracy: literature survey.

Bachmann, L. M., Puhan, M. A., Riet, G. T., & Bossuyt, P. M. (2006) · BMJ

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 184

A Clinician's Guide to Artificial Intelligence: How to Critically Appraise Machine Learning Studies

Faes, L., Liu, X., Wagner, S. K., Fu, D. J., Balaskas, K., Sim, D. A., Bachmann, L. M., Keane, P. A., & Denniston, A. K. (2020) · Translational Vision Science & Technology

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 162

Health Economic and Safety Considerations for Artificial Intelligence Applications in Diabetic Retinopathy Screening

Xie, Y., Gunasekeran, D. V., Balaskas, K., Keane, P. A., Sim, D. A., Bachmann, L. M., Macrae, C., & Ting, D. S. W. (2020) · Translational Vision Science & Technology

Retinal Imaging and AnalysisArtificial Intelligence in Healthcare and Education

Cited by 59

Evidence assessing the diagnostic performance of medical smartphone apps: a systematic review and exploratory meta-analysis

Buechi, R., Faes, L., Bachmann, L. M., Thiel, M. A., Bodmer, N. S., Schmid, M. K., Job, O., & Lienhard, K. R. (2017) · BMJ Open

Mobile Health and mHealth ApplicationsCutaneous Melanoma Detection and Management

Cited by 50