A Comprehensive Systematic Review of YOLO for Medical Object Detection (2018 to 2023)

MG Ragab, SJ Abdulkader, A Muneer… - IEEE …, 2024 - ieeexplore.ieee.org
YOLO (You Only Look Once) is an extensively utilized object detection algorithm that has
found applications in various medical object detection tasks. This has been accompanied by …

[PDF][PDF] A comprehensive systematic review of yolo for medical object detection (2018 to 2023)

R Qureshi, MG RAGAB, SJ ABDULKADER… - Authorea …, 2023 - techrxiv.org
ABSTRACT You Only Look Once (YOLO) is a popular object detection algorithm that has
been applied to a variety of medical object detection tasks. A systematic search was …

Assessing the effectiveness of artificial intelligence models for detecting alveolar bone loss in periodontal disease: a panoramic radiograph study

BC Uzun Saylan, O Baydar, E Yeşilova… - Diagnostics, 2023 - mdpi.com
The assessment of alveolar bone loss, a crucial element of the periodontium, plays a vital
role in the diagnosis of periodontitis and the prognosis of the disease. In dentistry, artificial …

[HTML][HTML] Toward Digital Periodontal Health: Recent Advances and Future Perspectives

F Soheili, N Delfan, N Masoudifar, S Ebrahimni… - Bioengineering, 2024 - mdpi.com
Periodontal diseases, ranging from gingivitis to periodontitis, are prevalent oral diseases
affecting over 50% of the global population. These diseases arise from infections and …

Deep learning for classifying the stages of periodontitis on dental images: a systematic review and meta-analysis

X Li, D Zhao, J Xie, H Wen, C Liu, Y Li, W Li, S Wang - BMC Oral Health, 2023 - Springer
Background The development of deep learning (DL) algorithms for use in dentistry is an
emerging trend. Periodontitis is one of the most prevalent oral diseases, which has a notable …

Abductive multi-instance multi-label learning for periodontal disease classification with prior domain knowledge

ZY Wu, W Guo, W Zhou, HJ Ye, Y Jiang, H Li… - Medical Image …, 2025 - Elsevier
Abstract Machine learning is widely used in dentistry nowadays, offering efficient solutions
for diagnosing dental diseases, such as periodontitis and gingivitis. Most existing methods …

Artificial intelligence for detecting periapical radiolucencies: A systematic review and meta-analysis

U Pul, F Schwendicke - Journal of Dentistry, 2024 - Elsevier
Objectives Dentists' diagnostic accuracy in detecting periapical radiolucency varies
considerably. This systematic review and meta-analysis aimed to investigate the accuracy of …

Detection of periodontal bone loss and periodontitis from 2D dental radiographs via machine learning and deep learning: systematic review employing APPRAISE-AI …

YH Khubrani, D Thomas, P Slator… - Dentomaxillofacial …, 2024 - academic.oup.com
Objectives Periodontitis is a serious periodontal infection that damages the soft tissues and
bone around teeth and is linked to systemic conditions. Accurate diagnosis and staging …

Periodontitis diagnosis: a review of current and future trends in artificial intelligence

J Jundaeng, R Chamchong… - Technology and Health …, 2024 - content.iospress.com
BACKGROUND: Artificial intelligence (AI) acts as the state-of-the-art in periodontitis
diagnosis in dentistry. Current diagnostic challenges include errors due to a lack of …

Artificial intelligence applications in smile design dentistry: A scoping review

RE Baaj, TA Alangari - Journal of Prosthodontics, 2024 - Wiley Online Library
Purpose Artificial intelligence (AI) applications are growing in smile design and aesthetic
procedures. The current expansion and performance of AI models in digital smile design …