Artificial Intelligence Medical Compendium

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

Showing 1,761 to 1,770 of 165,003 articles

An efficient IoT-based crop damage prediction framework in smart agricultural systems.

Scientific reports
This paper introduces an efficient IoT-based framework for predicting crop damage within smart agricultural systems, focusing on the integration of Internet of Things (IoT) sensor data with advanced machine learning (ML) and ensemble learning (EL) te... read more 

Artificial intelligence in pharmacovigilance: a narrative review and practical experience with an expert-defined Bayesian network tool.

International journal of clinical pharmacy
BACKGROUND: Pharmacovigilance is vital for monitoring adverse drug reactions (ADRs) and ensuring drug safety. Traditional methods are slow and inconsistent, but artificial intelligence (AI), through automation and advanced analytics, improves efficie... read more 

FaceGCD: Generalized Face Discovery via Dynamic Prefix Generation

arXiv
Recognizing and differentiating among both familiar and unfamiliar faces is a critical capability for face recognition systems and a key step toward artificial general intelligence (AGI). Motivated by this ability, this paper introduces generalized... read more 

CapRecover: A Cross-Modality Feature Inversion Attack Framework on Vision Language Models

arXiv
As Vision-Language Models (VLMs) are increasingly deployed in split-DNN configurations--with visual encoders (e.g., ResNet, ViT) operating on user devices and sending intermediate features to the cloud--there is a growing privacy risk from semantic... read more 

Wall Shear Stress Estimation in Abdominal Aortic Aneurysms: Towards Generalisable Neural Surrogate Models

arXiv
Abdominal aortic aneurysms (AAAs) are pathologic dilatations of the abdominal aorta posing a high fatality risk upon rupture. Studying AAA progression and rupture risk often involves in-silico blood flow modelling with computational fluid dynamics ... read more 

Countering the Forgetting of Novel Health Information with 'Social Boosting'

arXiv
To mitigate the adverse effects of low-quality or false information, studies have shown the effectiveness of various intervention techniques through debunking or so-called pre-bunking. However, the effectiveness of such interventions can decay. Her... read more 

Learning to Prune Branches in Modern Tree-Fruit Orchards

arXiv
Dormant tree pruning is labor-intensive but essential to maintaining modern highly-productive fruit orchards. In this work we present a closed-loop visuomotor controller for robotic pruning. The controller guides the cutter through a cluttered tree... read more 

Design of highly functional genome editors by modelling CRISPR-Cas sequences.

Nature
Gene editing has the potential to solve fundamental challenges in agriculture, biotechnology and human health. CRISPR-based gene editors derived from microorganisms, although powerful, often show notable functional tradeoffs when ported into non-nati... read more 

HRVVS: A High-resolution Video Vasculature Segmentation Network via Hierarchical Autoregressive Residual Priors

arXiv
The segmentation of the hepatic vasculature in surgical videos holds substantial clinical significance in the context of hepatectomy procedures. However, owing to the dearth of an appropriate dataset and the inherently complex task characteristics,... read more 

Predicting Engagement With Conversational Agents in Mental Health Therapy by Examining the Role of Epistemic Trust, Personality, and Fear of Intimacy: Cross-Sectional Web-Based Survey Study.

JMIR human factors
BACKGROUND: The use of conversational agents (CAs) in mental health therapy is gaining traction due to their accessibility, anonymity, and nonjudgmental nature. However, understanding the psychological factors driving preferences for CA-based therapy... read more