Publications by authors named "Mohammed Almahmoud"

Aim And Background: Artificial intelligence (AI) since it was introduced into dentistry, has become an important and valuable tool in many fields. It was applied in different specialties with different uses, for example, in diagnosis of oral cancer, periodontal disease and dental caries, and in the treatment planning and predicting the outcome of orthognathic surgeries. The aim of this comprehensive review is to report on the application and performance of AI models designed for application in the field of endodontics.

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Article Synopsis
  • The study investigates the effectiveness of artificial intelligence (AI) in assisting oral medicine residents with clinical diagnosis and treatment planning compared to human expertise.
  • It involved a comparative analysis of responses from 20 residents and three language models (OpenAI, Stablediffusion, and PopAI) using a closed multiple-choice test with 19 questions about oral lesions.
  • The aim was to determine whether AI could reliably support dental professionals in their diagnostic practices, with findings showing no significant differences among the responses of both residents and AI models for most questions.
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A fibro-osseous lesion is a condition where the regular bone is changed with a fibrous connective tissue matrix that includes an abnormal bone or cementum. These lesions are divided into three groups: ossifying fibroma, cemento-osseous dysplasia (COD), and fibrous dysplasia. COD is the most recurring benign fibro-osseous lesion.

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The use of mobile phones has remarkably increased and become a basic need of daily life. Increasing subscriptions of mobile phones boost the installation of mobile phone base station towers (MPBSTs) in crowded commercial and residential areas including near school buildings. This study investigated the impact of exposure to radiofrequency electromagnetic field (RF-EMF) radiation generated by MPBSTs on cognitive functions.

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