Artificial Intelligence Medical Compendium

BACKGROUND: Accelerometers produce high-resolution physical activity data, but commonly used summary measures often reduce these data to total volume, intensity, or variability and may not retain interpretable temporal structure across the day. Clust... read more 

Integrated fixed-film activated sludge (IFAS) reactors are widely adopted for anammox wastewater treatment, but few studies have systematically compared microbial community structure, interactions and functions among suspended sludge, pure biofilm an... read more 

OBJECTIVES: The role of the sympathetic neurotransmitter norepinephrine (NE) in ulcerative colitis (UC) remains controversial. We aimed to elucidate NE's precise mechanisms in UC, focusing on colonic metabolism, diagnostic potential, and local immune... read more 

Clinical neuropsychology was forged in a pre-digital era, and many of its core instruments still bear that imprint. Patients are still commonly assessed with paper-and-pencil tests in quiet rooms, under conditions that only weakly approximate the tec... read more 

Heavy metal (HM) contamination of soil threatens food security and ecosystem health. Sunflower phytoextraction is an environment-friendly option for managing contaminated soil. However, formulating phytoremediation strategies requires a reliable pred... read more 

OBJECTIVE: Motivational interviewing is an important skill taught to student pharmacists, however providing adequate practice and quality feedback in the didactic curriculum is challenging. Generative artificial intelligence (AI)-supported simulation... read more 

Epigenetic regulation of stem cell fate requires tight coordination with cellular metabolism; however, key downstream effectors remain poorly defined. Here, we show that lysine-specific demethylase 1 (LSD1) governs metabolic programs essential for st... read more 

BACKGROUND: Artificial intelligence (AI)-based systems show promise for assisting primary care providers (PCPs) with patient care. We aimed to evaluate the safety and quality of clinical conversations of a patient-facing conversational AI system, whi... read more 

OBJECTIVE: To characterise the landscape of surgical artificial intelligence (AI) devices approved by the US Food and Drug Administration (FDA). BACKGROUND: AI has the potential to improve surgical pathways, offering capability across screening, diag... read more 

OBJECTIVES: This study aimed to develop an automated dental caries localization system through detection and classification using a deep learning (DL) approach based on You Only Look Once Version 8 (YOLOv8). MATERIALS AND METHODS: YOLOv8 models were ... read more