Artificial Intelligence Medical Compendium

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

Showing 36,781 to 36,790 of 223,469 articles

Deep Learning-based Monoenergetic Imaging for Calcified Coronary Stenosis Assessment at Energy-integrating Detector CT.

Radiology. Cardiothoracic imaging
Purpose To develop and evaluate a Deep learnIng-bAsed MONoenergetic imaging at Different energies (DIAMOND) framework for generating virtual monoenergetic images (VMIs) from conventional energy-integrating detector (EID) CT, aiming to reduce blooming... read more 

Minimization of thrust and sideforce fluctuations of a two-segment ichthyoid propulsor for autonomous underwater vehicles.

Bioinspiration & biomimetics
This study deals with the problem of optimizing the geometry and motion of a two-segment articulated ichthyoid propulsor for autonomous underwater vehicles. The considered propulsor mimics the undulating body and caudal fin motion of a swimming fish;... read more 

Distinct Resting-State Connectomes for Face and Scene Perception Predict Individual Task Performance.

Human brain mapping
Face and scene perception rely on distinct neural networks centered on the Fusiform Face Area (FFA) and Parahippocampal Place Area (PPA). However, how these regions interact with broader brain networks remains unclear. Using resting-state fMRI and ME... read more 

Early Prediction of Hepatic Decompensation in Cirrhosis Using Optimised XGBoost Models at the Initial Outpatient Hepatology Visit.

Liver international : official journal of the International Association for the Study of the Liver
BACKGROUND AND AIMS: Hepatic decompensation represents a critical transition in cirrhosis, leading to increased morbidity, mortality and healthcare utilisation. Identifying patients at risk of decompensation remains a clinical challenge. We aimed to ... read more 

EEG Emotion Recognition With Uncertainty-Aware Contrastive Learning and Frequency-Aware Self-Attention.

IEEE transactions on cybernetics
Electroencephalography (EEG) emotion recognition plays a key role in improving human-machine interactions. Advanced algorithms have been proposed for this task. However, two challenges remain, i.e., unclear decision boundary in the embedded space and... read more 

Computer-Assisted Performance-Based Assessment for Mental Health: A Scoping Review.

PsyCh journal
Adolescent mental health is foundational to personal development, yet it faces escalating challenges globally. While traditional assessment methods lack objectivity and ecological validity, integrating computer-assisted technology (CAT) into performa... read more 

Artificial Intelligence in Couple and Family Therapy: Introduction of the AI Competencies.

Journal of marital and family therapy
Artificial Intelligence (AI) has rapidly altered the practice of couple/marital and family therapy (CMFT). While much has been written in other disciplines about competencies to be developed in integrating AI into one's work, to date no competencies ... read more 

Optimization Design and Bending Hysteresis Compensation of a Flexible Ureteroscopy Robot.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Ureteroscopic lithotripsy is a minimally invasive surgical procedure used to treat kidney stones. It faces challenges like a long learning curve, poor ergonomics, and low control accuracy. METHODS: This paper proposes a foldable bedside f... read more 

Risk factors and early clinical outcomes of acute pancreatitis: A retrospective case series from Kyrgyzstan.

Pakistan journal of pharmaceutical sciences
BACKGROUND: Acute pancreatitis (AP) is a common gastrointestinal emergency characterized by unpredictable severity. Early identification of patients at risk for severe disease is essential for timely intervention and improved outcomes, yet reliable p... read more 

DILIConsult: A Multi-Agent Large Language Model Framework for Evaluating Drug-Induced Liver Injury in ICU Settings.

Pharmacotherapy
BACKGROUND: Large language models (LLMs) can support clinical decision-making by parsing databases and extracting relevant information. However, evaluating drug-induced liver injury (DILI) often requires processing lengthy clinical histories alongsid... read more