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Joachim Krois

Berlin Institute of Health at Charité - Universitätsmedizin Berlin · DE
Area of research
Periodontics · Oral Surgery
Research interest
Research interests include Dental Radiography and Imaging, Dental Health and Care Utilization, Artificial Intelligence in Healthcare and Education, and Oral microbiology and periodontitis research.
h-index
45
citations
8,726
works
119
NIH funding
primary concept
Medicine
email

Recent publications

The Interplay Between Periodontitis, Caries and Dental Restorations in an Adult Population.
2026cited by 2position: contributordoi
<scp>ACES</scp>: A new framework for the application of the 2018 periodontal status classification scheme to epidemiological survey data
Journal Of Clinical Periodontology 2024cited by 38position: middledoi
ACES: A new framework for the application of the 2018 periodontal status classification scheme to epidemiological survey data.
2024cited by 34position: contributordoi
Conquering class imbalances in deep learning-based segmentation of dental radiographs with different loss functions
Journal of Dentistry 2024cited by 15position: contributordoi
Expert gaze as a usability indicator of medical AI decision support systems: a preliminary study.
2024cited by 3position: contributordoi
Ethical considerations on artificial intelligence in dentistry: A framework and checklist
Journal of Dentistry 2023cited by 109position: middledoi
Deep learning: A primer for dentists and dental researchers
Journal of Dentistry 2023cited by 85position: middledoi
Machine Learning in Dentistry: A Scoping Review
Journal of Clinical Medicine 2023cited by 81position: middledoi
Patients’ perspectives on the use of artificial intelligence in dentistry: a regional survey
Head & Face Medicine 2023cited by 54position: middledoi
Deep learning: A primer for dentists and dental researchers.
2023cited by 44position: contributordoi
Machine Learning in Dentistry: A Scoping Review.
2023cited by 39position: contributordoi
Identification of Dental Implant Systems Using a Large-Scale Multicenter Data Set.
2023cited by 31position: contributordoi
Monolithic hybrid abutment crowns (screw‐retained) versus monolithic hybrid abutments with adhesively cemented monolithic crowns
Clinical Oral Implants Research 2023cited by 16position: middledoi
Resin Infiltration of Non-Cavitated Proximal Caries Lesions in Primary and Permanent Teeth: A Systematic Review and Scenario Analysis of Randomized Controlled Trials.
2023cited by 14position: contributordoi
Machine Learning to Predict Apical Lesions: A Cross-Sectional and Model Development Study.
2023cited by 6position: contributordoi
Machine Learning to Predict Apical Lesions: A Cross-Sectional and Model Development Study
2023cited by 0position: contributordoi
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
Nature Medicine 2022cited by 468position: middledoi
Deep learning for caries detection: A systematic review.
2022cited by 152position: contributordoi
Cost-effectiveness of Artificial Intelligence as a Decision-Support System Applied to the Detection and Grading of Melanoma, Dental Caries, and Diabetic Retinopathy.
2022cited by 72position: contributordoi
Data Dentistry: How Data Are Changing Clinical Care and Research.
2022cited by 49position: contributordoi
Patients’ Perspectives on Artificial Intelligence in Dentistry: A Controlled Study
Journal of Clinical Medicine 2022cited by 45position: middledoi
Federated Learning in Dentistry: Chances and Challenges.
2022cited by 35position: contributordoi
Artificial Intelligence for Caries Detection: Value of Data and Information.
2022cited by 31position: contributordoi
Precision dentistry-what it is, where it fails (yet), and how to get there.
2022cited by 29position: contributordoi
Cost-effectiveness of AI for caries detection: randomized trial.
2022cited by 28position: contributordoi
Towards Trustworthy AI in Dentistry.
2022cited by 26position: contributordoi
Patients' Perspectives on Artificial Intelligence in Dentistry: A Controlled Study.
2022cited by 24position: contributordoi
Benchmarking Deep Learning Models for Tooth Structure Segmentation.
2022cited by 23position: contributordoi
Emulating Clinical Diagnostic Reasoning for Jaw Cysts with Machine Learning
Diagnostics 2022cited by 22position: lastdoi
A Survey on the Use of Artificial Intelligence by Clinicians in Dentistry and Oral and Maxillofacial Surgery.
2022cited by 21position: contributordoi

Grants

No grants ingested yet.

Frequent collaborators

Falk Schwendicke · National Business Group on Health58 papers (2019–2026) · 37 papers (2021–2026)Falk Schwendicke · National Business Group on Health20 papers (2017–2023)Akhilanand Chaurasia · BMJ Publishing Group6 papers (2020–2023)Jonas Almeida Rodrigues · Charité - Universitätsmedizin Berlin4 papers (2021–2022)Hendrik Meyer-Lueckel · University of Bern4 papers (2021–2024)Aleksander Krasowski · Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute4 papers (2021–2024)Karim Elhennawy · Humboldt-Universität zu Berlin4 papers (2017–2020)Akhilanand Chaurasia · King George's Medical University4 papers (2020–2023)Sebastian Paris · Charité - Universitätsmedizin Berlin3 papers (2020–2020)Hossein Mohammad‐Rahimi · Aarhus University3 papers (2022–2023) · 3 papers (2017–2020)Anselmo Garcia Cantu Ros · Humboldt-Universität zu Berlin3 papers (2021–2022)Robert Gaudin · Universität Hamburg3 papers (2020–2022)Lubaina T. Arsiwala-Scheppach · 3 papers (2022–2023)L. Schneider · Otto-von-Guericke-Universität3 papers (2022–2022)Hossein Mohammad-Rahimi · Shahid Beheshti University of Medical Sciences3 papers (2022–2023)Wojciech Samek · Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute3 papers (2020–2022)Christian Graetz · Christian-Albrechts-Universität zu Kiel3 papers (2019–2020)Sergio E. Uribe · National Business Group on Health3 papers (2021–2022)