Artificial Intelligence Medical Compendium

Human Acid-Sensing Ion Channel 1a (hASIC1a) is a complex, multi-state membrane macromolecule whose rapid desensitization limits its application as a natural biosensor. To manipulate these structural dynamics, we designed and applied an integrative co... read more 

OBJECTIVES: To synthesize pharmacy-education evidence across artificial intelligence (AI) and digital simulation technologies, compare modalities by educational function, evidence maturity, implementation requirements, and risk, and derive a competen... read more 

OBJECTIVES: To propose a competency framework defining the AI-specific knowledge, skills, and attitudes Doctor of Pharmacy graduates should demonstrate, and to map these competencies to existing accreditation standards. FINDINGS: While professional o... read more 

Fine particle fraction (FPF), a key predictor of inhalation powder efficacy, is conventionally measured using expensive, time-consuming in vitro methods that require specialized equipment. This study presents a novel approach for predicting FPF from ... read more 

OBJECTIVES: This study aimed to develop and evaluate PrepNet, a multi-task geometric deep learning framework, for automatic detection and numbering of the prepared tooth in 3D dental scan models (DSMs). METHODS: In this study, we propose PrepNet, a m... read more 

INTRODUCTION: Morphological examination of bone marrow aspirates (BMA) remains essential for the diagnosis of hematologic diseases, but conventional microscopy is labor-intensive and subject to interobserver variability. METHODS: A total of 158 sampl... read more 

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Video-electrocorticogram (VEEG) recordings are the gold-standard diagnostic tool for detecting and characterizing seizures in rodent models of seizure and epilepsy. Manual/visual scoring remains the prevailing strategy despite significant limitations... read more 

OBJECTIVES: This study aimed to develop an integrated framework combining an optical model with deep learning to accurately predict the spectral transmittance of resin composite and inversely solve for the geometric parameters required to achieve a t... read more 

Unmet health-related social needs (HRSNs), such as food insecurity, housing instability, transportation barriers, and caregiver stress, are associated with increased healthcare utilization and poorer health outcomes. Screening for HRSNs and addressin... read more