Objectives: To investigate the current clinical applications and diagnostic performance of
artificial intelligence (AI) in dental and maxillofacial radiology (DMFR). Methods: Studies …

In the last few years, artificial intelligence (AI) research has been rapidly developing and
emerging in the field of dental and maxillofacial radiology. Dental radiography, which is …

Objectives The aim of the current study was to evaluate the detection and diagnosis of three
types of odontogenic cystic lesions (OCLs)—odontogenic keratocysts, dentigerous cysts …

This study focuses on investigating the performance of different machine learning algorithms
and corresponding comparative analysis in predicting cardiovascular disease. Globally this …

Background and objectives In this article, we propose a decision support system for effective
classification of dental periapical cyst and keratocystic odontogenic tumor (KCOT) lesions …

Objective: To define which are and how the radiomics features of jawbone pathologies are
extracted for diagnosis, predicting prognosis and therapeutic response. Methods: A …

Texture is one of the most basic descriptors used in the geological sciences. The value
derived from textural characterisation extends into engineering applications associated with …

Wireless sensor networks are increasingly used in a wide range of potential applications,
including security and surveillance, control, actuation and maintenance of complex systems …

Purpose The shape of the mandible has been analyzed in a variety of fields, whether to
diagnose conditions like osteoporosis or osteomyelitis, in forensics, to estimate biological …

Single hidden Layer Feed forward Neural network (SLFN) called Optimized Extreme
Learning Machine (OELM) is proposed for the classification of EEG signals with the …