Use of artificial intelligence in the classification of elementary oral lesions from clinical images

RFT Gomes, J Schmith, RM Figueiredo… - International Journal of …, 2023 - mdpi.com
Objectives: Artificial intelligence has generated a significant impact in the health field. The
aim of this study was to perform the training and validation of a convolutional neural network …

What happens when simulations get real and cosmetic dermatology goes virtual?

D Haykal, H Cartier, D Crest, H Galadari… - Journal of Cosmetic …, 2023 - search.proquest.com
According to some studies, the use of virtual reality (VR) in health care provides the benefit
of 230% improvement in surgical performance in comparison with traditional training …

AI in oral medicine: is the future already here? A literature review

S Alotaibi, E Deligianni - British Dental Journal, 2024 - nature.com
Objective Artificial intelligence (AI) is reshaping many healthcare disciplines, mainly with
newly developed computer systems or machines that have the ability to mimic human …

Experiences, perceptions, and decision-making capacity towards oral biopsy among dental students and dentists

J Cassol Spanemberg, R Velázquez Cayón… - Scientific Reports, 2023 - nature.com
The dentist plays a crucial role in identifying oral lesions as it is their responsibility to
conduct the clinical examination for diagnosing diseases in this anatomical region. Dentists …

Improving Generation and Evaluation of Long Image Sequences for Embryo Development Prediction

P Celard, A Seara Vieira, JM Sorribes-Fdez… - Electronics, 2024 - mdpi.com
Generating synthetic time series data, such as videos, presents a formidable challenge as
complexity increases when it is necessary to maintain a specific distribution of shown …

[HTML][HTML] Portable color retinography findings in COVID-19 patients admitted to the ward

AA de Andrade Cunha Filho, PMP Neto… - Photodiagnosis and …, 2024 - Elsevier
Retinal lesions, including cotton-wool exudates, microbleeds, vascular occlusions and
vasculitis, occur in a minority of Coronavirus Disease-19 (COVID-19) patients. Retinal …

Convolutional neural network misclassification analysis in oral lesions: an error evaluation criterion by image characteristics

RFT Gomes, J Schmith, RM de Figueiredo… - Oral Surgery, Oral …, 2024 - Elsevier
Objective This retrospective study analyzed the errors generated by a convolutional neural
network (CNN) when performing automated classification of oral lesions according to their …

ChatGPT in the Indian healthcare scenario: Look before you leap

D Gupta, J Mahadevan - Cancer Research, Statistics, and …, 2023 - journals.lww.com
The transformational power of artificial intelligence (AI)‑based technologies in healthcare
over the past few years is evident, although their actual use in healthcare delivery remains …

Management der Hypersensitivität bei MIH

N Krämer - Oralprophylaxe & Kinderzahnmedizin, 2024 - Springer
Kinder mit der schweren Form der Molaren-Inzisiven-Hypomineralisation (MIH) haben
häufig erhebliche Beschwerden bei Berührung der betroffenen Zähne oder bei der …

Utilisation de nouvelles approches en intelligence artificielle pour le diagnostic de lésions de la muqueuse orale

A Dubuc - 2024 - theses.hal.science
Les pathologies de la muqueuse buccales présentent un polymorphisme clinique important.
Cela concerne les dermatoses bénignes mais également les lésions cancéreuses et pré …