Gerd Göstemeyer

ORCID: 0000-0003-3128-3616
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About
Contact & Profiles
Research Areas
  • Dental Health and Care Utilization
  • Dental materials and restorations
  • Oral microbiology and periodontitis research
  • Dental Erosion and Treatment
  • Dental Radiography and Imaging
  • Dental Research and COVID-19
  • Dental Implant Techniques and Outcomes
  • Endodontics and Root Canal Treatments
  • Meta-analysis and systematic reviews
  • Oral and gingival health research
  • Dental Education, Practice, Research
  • Dental Anxiety and Anesthesia Techniques
  • Reliability and Agreement in Measurement
  • Health Systems, Economic Evaluations, Quality of Life
  • Laser Applications in Dentistry and Medicine
  • Advanced ceramic materials synthesis
  • Osteomyelitis and Bone Disorders Research
  • Salivary Gland Disorders and Functions
  • Geriatric Care and Nursing Homes
  • Digital Imaging in Medicine
  • Dental Trauma and Treatments
  • Inorganic Fluorides and Related Compounds
  • Oral and Craniofacial Lesions
  • Health Education and Validation
  • Artificial Intelligence in Healthcare and Education

Charité - Universitätsmedizin Berlin
2016-2025

Freie Universität Berlin
2017-2021

Humboldt-Universität zu Berlin
2017-2021

Poliklinik für Zahnerhaltung und Parodontologie
2019

University of Copenhagen
2018

Radboud University Nijmegen
2018

Radboud University Medical Center
2018

Academic Center for Dentistry Amsterdam
2018

Université Claude Bernard Lyon 1
2018

Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2018

Artificial intelligence (AI) can assist dentists in image assessment, for example, caries detection. The wider health and cost impact of employing AI dental diagnostics has not yet been evaluated. We compared the cost-effectiveness proximal detection on bitewing radiographs with versus without AI. U-Net, a fully convolutional neural network, had trained, validated, tested 3,293, 252, 141 radiographs, respectively, which 4 experienced marked carious lesions (reference test). Lesions were...

10.1177/0022034520972335 article EN cc-by Journal of Dental Research 2020-11-16

Abstract Aims This study aimed to evaluate the visual improvement of resin infiltration white spot lesions (WSL) during orthodontic treatment with multibracket appliance (MBA) compared fluoride varnish. Methods Patients aged 12–17 years at least one WSL an International Caries Detection and Assessment System (ICDAS) score 1–2 active MBA were included randomized receive either (Icon) or application (Flairesse). Standardized digital images obtained before, one-day, one-week, one-month,...

10.1007/s00784-024-05695-2 article EN cc-by Clinical Oral Investigations 2024-05-11

The present study aimed to identify barriers and enablers for the implementation of artificial intelligence (AI) in dental, specifically radiographic, diagnostics. Semi-structured phone interviews with dentists patients were conducted between end May June 2020 (convenience/snowball sampling). A questionnaire developed along Theoretical Domains Framework (TDF) Capabilities, Opportunities Motivations influencing Behaviors model (COM-B) was used guide interviews. Mayring’s content analysis...

10.3390/jcm10081612 article EN Journal of Clinical Medicine 2021-04-10

ABSTRACT Objectives To evaluate the accuracy and reliability of intraoral 3D scans for assessing oral health older patients living in nursing homes. Materials Methods One examiner recorded missing teeth, restorations, caries lesions hygiene (Geriatric‐Debris‐Index Simplified [GDI‐S] ≥ 1.9) home residents using visual‐tactile diagnostics (reference test) afterwards obtained with an scanner (TRIOS 4, 3Shape). Two other independent investigators clinical assessed only to delineate same...

10.1111/ger.12817 article EN cc-by Gerodontology 2025-03-31
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