Artificial Intelligence Medical Compendium

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Chronic kidney disease (CKD) is a growing global health burden characterized by progressive renal dysfunction, high comorbidity rates, and substantial healthcare costs. Digital health technologies, including telemedicine, wearable biosensors, mobile ... read more 

This study presents a comprehensive and comparative analysis of the emergence of micro- and nanoplastics (MNPs) from polyethylene (PE) plastic bags and polyethylene terephthalate (PET) water bottles. We subjected these polymers to simulated mechanica... read more 

Understanding RNA structures - essential for uncovering their biological functions, interactions, and therapeutic potential - relies on both experimental techniques and computational approaches increasingly driven by artificial intelligence. The latt... read more 

PURPOSE: The use of neuronavigation with superimposed mapping tools has enabled visualization of key fiber tracts and improved peri-operative planning. However, a limitation of these approaches is their reliance on a static underlying brain atlas, pa... read more 

Soil is a substrate easily picked up during everyday activities due to its ubiquity and adhesiveness. A method to determine the origin of soil precisely would therefore be useful in forensic casework as it can provide insight into a person`s or objec... read more 

Visual function is one of the most critical abilities of organisms to perceive the outside world, playing an indispensable role in the interaction between them. Especially, the polarization-sensitive visual function can process the polarized visual i... read more 

The integration of artificial intelligence (AI) into the field of mental health diagnosis has garnered increasing scholarly and clinical attention, particularly in relation to the early detection and classification of depression. This study offers a ... read more 

OBJECTIVE: Achieving submillimetric accuracy in stereotactic neurosurgery remains critical for safely targeting deep brain structures. Current workflows rely on intraoperative CT to register stereotactic frames to preoperative imaging, but this intro... read more 

OBJECTIVE: To develop and validate a prediction model integrating laboratory parameters and thromboelastography (TEG) for forecasting blood transfusion needs in orthopedic surgery. METHODS: This retrospective study enrolled 250 patients undergoing jo... read more