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Core outcomes measures in dental computer vision studies (DentalCOMS).
Büttner, Martha; Rokhshad, Rata; Brinz, Janet; Issa, Julien; Chaurasia, Akhilanand; Uribe, Sergio E; Karteva, Teodora; Chala, Sanaa; Tichy, Antonin; Schwendicke, Falk.
Afiliação
  • Büttner M; Department of Oral Diagnostics, Digital Health and Health Services Research, Charité - Universitätsmedizin Berlin, Germany.
  • Rokhshad R; Topic Group Dental Diagnostics and Digital Dentistry, WHO Focus Group AI on Health, Berlin, Germany.
  • Brinz J; Clinic for Conservative Dentistry and Periodontology, LMU Klinikum, Munich, Germany.
  • Issa J; Department of Diagnostics, Chair of Practical Clinical Dentistry, University of Medical Sciences, Bukowska 70, 60-812, Poznan, Poland; Doctoral School, Poznan University of Medical Sciences, Bukowska 70, 60-812, Poznan, Poland.
  • Chaurasia A; Department of Oral Medicine and Radiology, King George's Medical University, India.
  • Uribe SE; Clinic for Conservative Dentistry and Periodontology, LMU Klinikum, Munich, Germany; Department of Conservative Dentistry and Oral Health, Riga Stradins University, Riga, Latvia; Baltic Biomaterials Centre of Excellence (BBCE), Headquarters at Riga Technical University, Riga, Latvia.
  • Karteva T; Topic Group Dental Diagnostics and Digital Dentistry, WHO Focus Group AI on Health, Berlin, Germany.
  • Chala S; Faculty of Dental Medicine, Faculty of Medicine and Pharmacy, Mohammed V University, Rabat, Morocco.
  • Tichy A; Clinic for Conservative Dentistry and Periodontology, LMU Klinikum, Munich, Germany.
  • Schwendicke F; Clinic for Conservative Dentistry and Periodontology, LMU Klinikum, Munich, Germany. Electronic address: falk.schwendicke@med.uni-muenchen.de.
J Dent ; 150: 105318, 2024 Aug 27.
Article em En | MEDLINE | ID: mdl-39182639
ABSTRACT

OBJECTIVES:

To improve reporting and comparability as well as to reduce bias in dental computer vision studies, we aimed to develop a Core Outcome Measures Set (COMS) for this field. The COMS was derived consensus based as part of the WHO/ITU/WIPO Global Initiative AI for Health (WHO/ITU/WIPO AI4H).

METHODS:

We first assessed existing guidance documents of diagnostic accuracy studies and conducted interviews with experts in the field. The resulting list of outcome measures was mapped against computer vision modeling tasks, clinical fields and reporting levels. The resulting systematization focused on providing relevant outcome measures whilst retaining details for meta-research and technical replication, displaying recommendations towards (1) levels of reporting for different clinical fields and tasks, and (2) outcome measures. The COMS was consented using a 2-staged e-Delphi, with 26 participants from various IADR groups, the WHO/ITU/WIPO AI4H, ADEA and AAOMFR.

RESULTS:

We assigned agreed levels of reporting to different computer vision tasks. We agreed that human expert assessment and diagnostic accuracy considerations are the only feasible method to achieve clinically meaningful evaluation levels. Studies should at least report on eight core outcome

measures:

confusion matrix, accuracy, sensitivity, specificity, precision, F-1 score, area-under-the-receiver-operating-characteristic-curve, and area-under-the-precision-recall-curve.

CONCLUSION:

Dental researchers should aim to report computer vision studies along the outlined COMS. Reviewers and editors may consider the defined COMS when assessing studies, and authors are recommended to justify when not employing the COMS. CLINICAL

SIGNIFICANCE:

Comparing and synthesizing dental computer vision studies is hampered by the variety of reported outcome measures. Adherence to the defined COMS is expected to increase comparability across studies, enable synthesis, and reduce selective reporting.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Dent Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Dent Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Alemanha
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