English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Department of Surgery, Division of Cardiothoracic Surgery, Washington University School of Medicine, Barnes-Jewish Hospital, St. Louis, MO, USA; Institute for Informatics, Division of General Medical Sciences, Washington University School of Medicine, St. Louis, MO, USA Contributions: (I) Conception and design: RM MacGregor, P Kachroo, A Guo, L Schulte, MK Pasque, R Foraker; (II) Administrative support: M Damiano, T Burmeister, B Cupps, MK Pasque; (III) Provision of study materials or patients: P Kachroo, MR Moon, R Damiano, H Maniar, SJ Melby, A Itoh, MF Masood, K Kotkar, MK Pasque; (IV) Collection and assembly of data: RM MacGregor, P Kachroo, A Guo, L Schulte, B Cupps, MK Pasque, R Foraker; (V) Data analysis and interpretation: R MacGregor, P Kachroo, A Guo, L Schulte, B Cupps, MK Pasque, R Foraker; (VI) Manuscript writing: All Authors; (VII) Final approval of manuscript: All Authors. Correspondence to: Puja Kachroo, MD. Washington University School of Medicine, Barnes-Jewish Hospital, Division of Cardiothoracic Surgery, Campus Box 8234, 660 S. Euclid Ave., St. Louis, MO 63110, USA. Email: puja@wustl.edu.

journal of medical artificial intelligence

Developing a machine learning model using isolated Society of Thoracic Surgeons database variables to predict the presence of clinically-significant ischemic mitral regurgitation