Artificial Intelligence Medical Compendium

STUDY DESIGN: Cross-sectional study. OBJECTIVE: This study proposes a novel stratification framework for individuals with low back pain (LBP). The method integrates Northern Finland Birth Cohort data comprising imaging biomarkers from deep learning (... read more 

Ultra-processed foods (UPF), defined using frameworks such as NOVA, are increasingly linked to adverse health outcomes, driving interest in ways to identify and monitor their consumption. Artificial intelligence (AI) offers potential, yet its applica... read more 

PURPOSE: While 18F-FDG PET imaging has demonstrated diagnostic value in people with Amyotrophic Lateral Sclerosis (PwALS) and group-level differences were identified between different disease subtypes (e.g., genetic and clinical variants), refining a... read more 

AIM: Worsening renal function (WRF) is a common and serious complication of type 2 diabetes mellitus (T2DM), contributing to adverse clinical outcomes. Metabolic dysregulation is considered a key driver of its onset and progression. The cardiometabol... read more 

Artificial intelligence (AI) has rapidly emerged as a transformative force in surgical research, driving innovation in preoperative planning, intraoperative guidance, workflow optimization, and academic productivity. Advances in computational power a... read more 

OBJECTIVE: This study determines whether a machine-learning model integrating sonographic biometry with maternal clinical parameters improves prediction of large-for-gestational-age (LGA) compared with Hadlock's EFW formula. METHODS: We conducted a r... read more 

Countless tiny needles scatter across a surface, each landing in a unique, unpredictable pattern. This principle is extended to the microscale by utilizing colloidal nanowires, which are deposited into randomly structured networks via spin-coating, f... read more 

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As electronic chip technology advances toward miniaturization, integration, and high-frequency capabilities, along with the continuous increase in device power density, the high thermal conductivity (TC) of polymers becomes increasingly important in ... read more 

Sensory analysis is a cornerstone of cosmetic development, yet remains underrepresented in peer-reviewed literature due to its frequent confinement to internal or industrial use, unlike food science, where shared methodologies foster wider academic d... read more