Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 2,261 to 2,270 of 166,891 articles

Enhancing Captive Welfare Management with Deep Learning: Video-Based Detection of Gibbon Behaviors Using YOWOvG.

Journal of applied animal welfare science : JAAWS
Accurate monitoring of animal behavior is critical for assessing welfare and informing conservation strategies for vulnerable species like the eastern hoolock gibbon (). To overcome limitations of manual observation and single-frame analysis in capti... read more 

Generating targeted and tailored health communication narratives with AI.

Risk analysis : an official publication of the Society for Risk Analysis
Customized narratives are effective tools to promote risk prevention behaviors in populations. However, the development of such narratives is resource-intensive. Advances in generative artificial intelligence (AI) offer promising solutions to these c... read more 

A technological convergence in hepatobiliary oncology: Evolving roles of smart surgical systems.

Bioscience trends
Cancer remains a major threat to human health, with the incidence of hepatobiliary tumors consistently high. Treatment methods for hepatobiliary tumors include surgical intervention, ablation, embolization, and pharmacological treatments, with surger... read more 

Aptamer-Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce biologi... read more 

Resilience as a mediator in the relationship between ambidextrous leadership and nurses' positive attitudes towards artificial intelligence.

BMC nursing
BACKGROUND: Leadership plays a pivotal role in adopting new trends within the nursing domain. Yet, the impact of ambidextrous leadership on nurses' positive attitudes towards artificial intelligence is not well understood. Furthermore, the underlying... read more 

Incorporating Artificial Intelligence into Fracture Risk Assessment: Using Clinical Imaging to Predict the Unpredictable.

Endocrinology and metabolism (Seoul, Korea)
Artificial intelligence (AI) is increasingly being explored as a complementary tool to traditional fracture risk assessment methods. Conventional approaches, such as bone mineral density measurement and established clinical risk calculators, provide ... read more 

Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives.

Military Medical Research
Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and associated with elevated rates of diagnostic error, underscoring the urgent need for more efficient tools to improve the current situation. Recently, ... read more 

Respiratory viral infections: when and where? A scoping review of spatiotemporal methods.

Journal of global health
BACKGROUND: Respiratory viral infections pose a substantial disease burden worldwide. Spatiotemporal techniques help identify transmission patterns of these infections, thereby supporting timely control and prevention efforts. We aimed to synthesise ... read more 

Identification and validation of ANXA3 and SOCS3 as biomarkers for acute myocardial infarction related to sphingolipid metabolism.

Hereditas
BACKGROUND: Sphingolipid metabolism (SM) is linked to acute myocardial infarction (AMI), but its role remains unclear. This study explored SM-related genes (SMRGs) in AMI to support clinical diagnosis. read more 

Personality Constructs Predictions Beyond FFM/Big5: A Digital Phenotyping-Based Exploration.

Journal of personality
OBJECTIVE: The application of digital phenotyping in personality research leverages smartphone-generated data to quantify individual differences in personality constructs. It can be conceptualized as an extension of Experience Sampling Methods (ESMs)... read more