Artificial intelligence in the diagnosis of oral diseases: applications and pitfalls

S Patil, S Albogami, J Hosmani, S Mujoo, MA Kamil… - Diagnostics, 2022 - mdpi.com
Background: Machine learning (ML) is a key component of artificial intelligence (AI). The
terms machine learning, artificial intelligence, and deep learning are erroneously used …

Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review

RO Alabi, O Youssef, M Pirinen, M Elmusrati… - Artificial intelligence in …, 2021 - Elsevier
Background Oral cancer can show heterogenous patterns of behavior. For proper and
effective management of oral cancer, early diagnosis and accurate prediction of prognosis …

The contribution of artificial intelligence to reducing the diagnostic delay in oral cancer

B Ilhan, P Guneri, P Wilder-Smith - Oral oncology, 2021 - Elsevier
Oral cancer (OC) is the sixth most commonly reported malignant disease globally, with high
rates of disease-related morbidity and mortality due to advanced loco-regional stage at …

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 …

Machine-learning applications in oral cancer: A systematic review

XA López-Cortés, F Matamala, B Venegas, C Rivera - Applied Sciences, 2022 - mdpi.com
Over the years, several machine-learning applications have been suggested to assist in
various clinical scenarios relevant to oral cancer. We offer a systematic review to identify …

Fast identification and characterization of residual wastes via laser-induced breakdown spectroscopy and machine learning

B Yan, R Liang, B Li, J Tao, G Chen, Z Cheng… - Resources …, 2021 - Elsevier
Elemental composition and heating value are essential properties of residual wastes (RW)
for its energy utilization. This paper proposed a highly efficient approach to distinguish …

Combination of hyperspectral imaging and machine learning models for fast characterization and classification of municipal solid waste

J Tao, Y Gu, X Hao, R Liang, B Wang, Z Cheng… - Resources …, 2023 - Elsevier
Determining thermochemical properties and eliminating inorganic components of municipal
solid waste (MSW) are crucial to its thermochemical treatment. Traditional characterization …

Machine-learning assisted discrimination of precancerous and cancerous from healthy oral tissue based on multispectral autofluorescence lifetime imaging …

E Duran-Sierra, S Cheng, R Cuenca, B Ahmed, J Ji… - Cancers, 2021 - mdpi.com
Simple Summary Complete resection of dysplastic and malignant tissue improves overall
survival and delays cancer recurrence in oral cancer patients; however, intraoperative …

Efficacy of artificial intelligence-assisted discrimination of oral cancerous lesions from normal mucosa based on the oral mucosal image: a systematic review and meta …

JS Kim, BG Kim, SH Hwang - Cancers, 2022 - mdpi.com
Simple Summary Early detection of oral cancer is important to increase the survival rate and
reduce morbidity. For the past few years, the early detection of oral cancer using artificial …

[HTML][HTML] Artificial intelligence's use in the diagnosis of mouth ulcers: a systematic review

A Tiwari, N Gupta, D Singla, JR Swain, R Gupta… - Cureus, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) has been cited as being helpful in the diagnosis of diseases, the
prediction of prognoses, and the development of patient-specific therapeutic strategies. AI …