Artificial Intelligence Medical Compendium

Behavioral decision-making for mobile robots in unknown environments is a key research topic in the field of robotics applications. To address issues such as low computational efficiency in high-dimensional spaces and diminished long-term learning ca... read more 

BACKGROUND: Limited medical professionals, particularly in rural community, impedes patient treatment. Rapid prenatal risk assessments are critical for improving pregnancy care under these resource constraints. OBJECTIVE: To develop and evaluate an i... read more 

BACKGROUND: The goals of this study were to develop an artificial intelligence (AI)-driven automated preoperative planning system for anterior cruciate ligament (ACL) reconstruction by integrating deep learning with computed tomography (CT)-magnetic ... read more 

To systematically analyze the current status and future trends of artificial intelligence (AI) in gastrointestinal surgery from July 2015 to July 2025 through bibliometrics. Based on the Web of Science Core Collection database, this study retrieved r... read more 

Calcium (Ca2+) signaling is integral to nearly all aspects of plant biology, including development and responses to biotic and abiotic stresses. It operates through two main layers: the generation of Ca2+ signals and their decoding by Ca2+-binding pr... read more 

With the increasing use of generative artificial intelligence by patients, discrepancies in discussion can arise during the patient-physician clinic visit. This paper seeks to address practical guidelines for responding during a clinical encounter in... read more 

Long COVID, or post-acute sequelae of COVID-19 (PASC), is a major global health problem, with cumulative estimates suggesting that around 400 million people worldwide have been affected. It is characterized by persistent or new symptoms such as fatig... read more 

BACKGROUND: Current methods of intracranial aneurysm rupture risk assessment in the clinical setting depend on user measurements of morphological factors. Recently, machine learning (ML) has been proposed to assist in stratification of aneurysmal rup... read more 

Vaccination is an effective approach that saves the lives of millions of people. Computer tools and technologies have recently helped design novel, safe, effective, and fastest vaccines. Among these tools and technologies, artificial intelligence (AI... read more 

AIM: To assess the value of quantitative EEG (qEEG) as a diagnostic and prognostic biomarker in infants with abusive head trauma (AHT). Despite its central role in monitoring encephalopathy, EEG remains underused in multimodal evaluations, and its qu... read more