Artificial Intelligence Medical Compendium

Globally, breast cancer represents the leading cancer type, with millions of women impacted annually. The success of breast cancer treatment relies heavily on timely detection and precise tumor classification. The classification of breast cancer has ... read more 

BACKGROUND: The illegal smuggling of exotic pet beetles presents a growing threat to global ecosystems. Customs authorities play a critical role in preventing biological invasions, yet current identification methods rely heavily on expert knowledge a... read more 

BACKGROUND: Kochia [Bassia scoparia (L.) A.J. Scott] and waterhemp [Amaranthus tuberculatus (Moq.) J.D. Sauer] are among the most aggressive and competitive weed species in sugarbeet production. Their similarity to the crop during early growth stages... read more 

Cervical cancer remains a major cause of mortality among women worldwide, highlighting the need for advances in diagnostic and therapeutic strategies. This review provides a comprehensive overview of recent developments in histopathological classific... read more 

Written educational materials have been found to be effective in the delivery of pre-operative information. However, creating personalized educational materials using large-language models (LLM) such as GPT-4 tailored to parental educational level ha... read more 

Stalk rot, primarily caused by Fusarium graminearum (Fg) and Pythium inflatum (Pi), is a major maize disease responsible for significant yield losses. The molecular mechanisms governing defence against these pathogens remain poorly understood. To unc... read more 

AIM: To offer a student-focused critical evaluation of the content and use of a digital competencies discipline-specific toolkit that was co-designed with students, offering ideas for training and development across several digital skills areas, such... read more 

UNLABELLED: Malaria is a major public health problem, especially in sub-Saharan Africa and other developing countries, where majority of malaria cases and deaths occur. This study developed a machine learning (ML) model to accurately diagnose malaria... read more 

PURPOSE: To develop and evaluate a deep learning model that integrates ultra-widefield fundus photography and B-scan ultrasonography for automated classification of uveal melanoma (UM) and choroidal nevi. DESIGN: A retrospective cross-sectional study... read more 

CONTEXT: Bone fractures are among the most common musculoskeletal injuries and require timely, accurate diagnosis to ensure effective treatment and prevention of long-term complications. However, manual interpretation of X-ray images is often error-p... read more