Artificial Intelligence Medical Compendium

Triage of rheumatology outpatient referrals is a high-volume administrative task that consumes senior specialist time without advancing patient care. The human triage system is only moderately accurate and reproducible. We assessed whether contempora... read more 

Illegal artisanal and small-scale mining (ASM), or galamsey, in Ghana presents persistent environmental, social, and governance challenges despite growing policy attention. Recent literature emphasizes digital and smart mining technologies such as re... read more 

This article examines whether artificial intelligence can genuinely participate in practices of care within healthcare settings and what implications this development has for healthcare chaplaincy. Drawing on recent research on artificial empathy, th... read more 

PURPOSE: Greater and lesser trochanter fragments are common in intertrochanteric femur fractures and may reflect fracture morphology and instability. Although fragment formation has been discussed in relation to the attached muscles, the associations... read more 

CONTEXT: Thermal sensitivity, typically characterized by the thermal decomposition temperature (Td), is a key parameter that reflects the thermal stability and safety of energetic materials, providing essential guidance for their engineering applicat... read more 

Artificial intelligence (AI) is rapidly transforming orthodontics by enhancing diagnostic accuracy, supporting clinical decision-making, and facilitating digital workflows. This narrative review provides a comprehensive overview of current AI technol... read more 

Ovarian cancer remains among the deadliest gynaecological malignancies, with aberrant activation of the Forkhead Box M1 (FOXM1) transcription factor strongly implicated in tumour progression, therapy resistance, and poor prognosis. Given the limited ... read more 

This study compared the diagnostic accuracy, initial test selection, and initial treatment choices of three current-generation Large Language Models (LLMs) with those of two infectious disease specialists in managing infectious complications in patie... read more 

The aim of this work is to evaluate the impacts of heat generation on the radiative flow of Casson nanofluid over a sheet under LTNE circumstances while microbes are present, utilizing machine learning techniques based on the Levenberg-Marquardt algo... read more 

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