Artificial Intelligence Medical Compendium

OBJECTIVE: The purpose of this study was to develop a lightweight multimodal deep learning model for accurately predicting the risk of postoperative vitreous cavity haemorrhage (POVCH) following vitrectomy with intraocular pharmacotherapy in patients... read more 

INTRODUCTION: Blood-based biomarkers that can aid diagnosis of Parkinson's Disease (PD) dementia (PDD), and predict PDD onset in people with PD are urgently needed. Plasma small extracellular vesicles (SEV) reflect molecular changes in living human b... read more 

OBJECTIVE: To develop and validate a machine learning model for postoperative sepsis in critically ill traumatic spinal injury (TSI) patients, a frequent and severe complication without dedicated predictive tools. METHODS: Model development used the ... read more 

Considering the inherent multi-scale nature of solar irradiance data is essential for accurate long-term forecasting. However, when temporal dynamics at multiple scales are represented in 1D space, critical time dependencies become deeply obscured, m... read more 

Functional near-infrared spectroscopy (fNIRS), with its ability to directly measure cerebral hemodynamic changes and advantages such as portability, non-invasiveness, and resistance to interference, holds unique promise for driving fatigue detection.... read more 

Cultivated meat presents a promising alternative to meet the rising global demand for protein while minimizing environmental impact. However, developing functional scaffolds that provide stable support for cell culture and maintain structural integri... read more 

This study expands Califf's technostress model, which explores the psychological stress caused by technology, by integrating "perceived self-esteem threat" as a key stressor driven by the growing influence of medical artificial intelligence (AI), exa... read more 

OBJECTIVE: One of the most important biomarkers for evaluating long-term glycemic management and estimating the risk of diabetes is glycated hemoglobin (HbA1c). Early risk assessment and intervention techniques can be improved by identifying importan... read more 

OBJECTIVE: Programmed cell death-ligand 1 (PD-L1) expression and immune phenotype (IP) are potential predictive biomarkers for immune checkpoint inhibitors (ICIs) in recurrent and/or metastatic head and neck squamous cell carcinoma (R/M HNSCC). This ... read more 

Delirium is a common acute neuropsychiatric syndrome, and its early detection may improve clinical outcomes. This narrative review synthesized findings from 11 original studies and two systematic reviews that employed wearable sensors (actigraphy) to... read more