Published on in Vol 7 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55681, first published .
Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis

Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis

Evaluating the Prognostic and Clinical Validity of the Fall Risk Score Derived From an AI-Based mHealth App for Fall Prevention: Retrospective Real-World Data Analysis

Sónia A Alves   1 , PhD ;   Steffen Temme   1 , BSc ;   Seyedamirhosein Motamedi   1 , PhD ;   Marie Kura   1 , MSc ;   Sebastian Weber   2 , MD ;   Johannes Zeichen   2 , Prof Dr ;   Wolfgang Pommer   3 , MD ;   André Baumgart   4, 5 , PhD

1 LINDERA GmbH, Berlin, Germany

2 Johannes Wesling Klinikum Minden - Klinik für Unfallchirurgie und Orthopädie, Minden, Germany

3 Charité - Universitätsmedizin Berlin, Berlin, Germany

4 Department of Anesthesiology and Surgical Intensive Care Medicine, Medical Faculty Mannheim, University Medical Center GmbH, Heidelberg University, Mannheim, Germany

5 Medical Faculty Mannheim, Department of Biomedical Informatics, University Medical Centre Mannheim GmbH, Heidelberg University, Mannheim, Germany

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