Artificial Intelligence Medical Compendium

AIM: European parental views on artificial intelligence (AI) in paediatrics remain underexplored. This study addressed this gap by examining Dutch parents' attitudes and assessing how prior knowledge and brief educational interventions influenced the... read more 

ObjectiveThe mandibular symphysis is a donor site for alveolar bone grafting (ABG) in patients with cleft lip and/or palate, offering reduced morbidity. This prospective study evaluated ABG outcomes and donor site regeneration using artificial intell... read more 

BACKGROUND: The anterolateral thigh (ALT) flap is widely used for head and neck reconstruction because of its versatility and reliable vascular supply. However, anatomical variability of ALT perforators complicates their consistent identification, wh... read more 

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PURPOSE OF REVIEW: Noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) has been recognized as a diagnostic entity since 2017. It has been shown to exhibit indolent behaviour, and lobectomy alone is advocated as the tr... read more 

BACKGROUND: Deep learning (DL) has enabled advances in ultrasound imaging, but challenges like limited datasets and device variability hinder progress. This study provides the first bibliometric overview of DL research in medical ultrasound. METHOD: ... read more 

Rapid advances in AI technology are fuelling the proliferation of AI applications across industries, including educational services. With the allure of intelligent tutoring, individuals now face the choice of their educational approach-either parenta... read more 

The design of high-performance photosensitizers for next-generation photovoltaic and clean energy applications remains a formidable challenge due to the vast chemical space, competing photophysical trade-offs, and computational limitations of traditi... read more 

Body temperature is an important indicator for forensic scientists to estimate the early post-mortem interval (PMI). Traditionally, forensic practitioners have mostly used methods such as measuring the internal temperatures of the body, including rec... read more 

Deformable image registration plays a crucial role in medical imaging, aiding in disease diagnosis and image-guided interventions. Traditional iterative methods are slow, while deep learning (DL) accelerates solutions but faces usability and precisio... read more