[HTML][HTML] The effectiveness of artificial intelligence in detection of oral cancer

N Al-Rawi, A Sultan, B Rajai, H Shuaeeb… - international dental …, 2022 - Elsevier
Aim The early detection of oral cancer (OC) at the earliest stage significantly increases
survival rates. Recently, there has been an increasing interest in the use of artificial …

Application and performance of artificial intelligence technology in oral cancer diagnosis and prediction of prognosis: a systematic review

SB Khanagar, S Naik, AA Al Kheraif, S Vishwanathaiah… - Diagnostics, 2021 - mdpi.com
Oral cancer (OC) is a deadly disease with a high mortality and complex etiology. Artificial
intelligence (AI) is one of the outstanding innovations in technology used in dental science …

Histopathologic oral cancer prediction using oral squamous cell carcinoma biopsy empowered with transfer learning

A Rahman, A Alqahtani, N Aldhafferi, MU Nasir… - Sensors, 2022 - mdpi.com
Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the
most usual cancer in the world, with more than 300,335 deaths every year. The cancerous …

[HTML][HTML] The Xception model: A potential feature extractor in breast cancer histology images classification

S Sharma, S Kumar - ICT Express, 2022 - Elsevier
Computer-assisted pathology analysis is an emerging field in health informatics and
extremely important for effective treatment. Herein, we demonstrated the ability of the pre …

Ethical considerations on artificial intelligence in dentistry: a framework and checklist

R Rokhshad, M Ducret, A Chaurasia, T Karteva… - Journal of Dentistry, 2023 - Elsevier
Abstract Objective Artificial Intelligence (AI) refers to the ability of machines to perform
cognitive and intellectual human tasks. In dentistry, AI offers the potential to enhance …

[HTML][HTML] Artificial intelligence in early diagnosis and prevention of oral cancer

S Hegde, V Ajila, W Zhu, C Zeng - Asia-Pacific journal of oncology nursing, 2022 - Elsevier
The global occurrence of oral cancer (OC) has increased in recent years. OC that is
diagnosed in its advanced stages results in morbidity and mortality. The use of technology …

A deep learning algorithm for classification of oral lichen planus lesions from photographic images: A retrospective study

G Keser, İŞ Bayrakdar, FN Pekiner, Ö Çelik… - Journal of Stomatology …, 2023 - Elsevier
Introduction Deep learning methods have recently been applied for the processing of
medical images, and they have shown promise in a variety of applications. This study aimed …

The effectiveness of semi-automated and fully automatic segmentation for inferior alveolar canal localization on CBCT scans: A systematic review

J Issa, R Olszewski… - International journal of …, 2022 - mdpi.com
This systematic review aims to identify the available semi-automatic and fully automatic
algorithms for inferior alveolar canal localization as well as to present their diagnostic …

[HTML][HTML] A literature review of the future of oral medicine and radiology, oral pathology, and oral surgery in the hands of technology

I Singhal, G Kaur, D Neefs, A Pathak - Cureus, 2023 - ncbi.nlm.nih.gov
In the realm of dentistry, a myriad of technological advancements, including teledentistry,
virtual reality (VR), artificial intelligence (AI), and three-dimensional printing, have been …

Artificial intelligence for classification and detection of oral mucosa lesions on photographs: a systematic review and meta-analysis

R Rokhshad, H Mohammad-Rahimi, JB Price… - Clinical Oral …, 2024 - Springer
Objective This study aimed to review and synthesize studies using artificial intelligence (AI)
for classifying, detecting, or segmenting oral mucosal lesions on photographs. Materials and …