Artificial Intelligence Medical Compendium

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

Showing 6,051 to 6,060 of 205,623 articles

Training effect of a deep learning-based blended teaching model on ECMO transport for ICU nurses: a prospective, parallel-group, randomized controlled trial.

BMC nursing
OBJECTIVE: Given the high alignment between deep learning and blended teaching objectives, blended teaching provides a feasible pathway for achieving deep learning. This study aimed to verify the efficacy of a deep learning-based blended teaching mod... read more 

Harnessing ChatGPT for SBA question writing: a novel approach to medical student learning.

BMC medical education
The introduction of the Medical Licensing Assessment (MLA) requires UK medical graduates to pass two 100-item single best answer (SBA) question papers. Access to high-quality question banks is often restricted by expensive paywalls, evolving guidelin... read more 

Ultrasound elastography in pediatric care: bridging innovation and noninvasive diagnostics.

Italian journal of pediatrics
This review explores the application and limitations of ultrasound elastography (USE) in the pediatric population, addressing its diagnostic value across different organs and suggesting future directions for research and clinical practice. A literatu... read more 

Machine learning models of segmentation in acute ischemic stroke: a systematic review and meta-analysis.

Biomedical engineering online
BACKGROUND: Accurate segmentation of acute ischemic stroke (AIS) lesions on neuroimaging is essential for diagnosis, treatment decision-making, and prognostication. Manual methods are limited by time and variability. Machine learning (ML), especially... read more 

Dialogues of delivery: a multilingual question-answer dataset for maternal healthcare in East African languages.

BMC research notes
OBJECTIVE: There is a critical scarcity of domain-specific, clinically grounded Natural Language Processing (NLP) resources for African languages. In Western Uganda, linguistic diversity creates a barrier to maternal healthcare, as mothers lack acces... read more 

Self-Powered Flexible Hydrogel Sensor with Unbreakable Compressible Tolerance for Multiple Tactile Perception.

Nano letters
With the rapid development of bionic electronics for healthcare and human-machine interaction, developing flexible sensors that combine skin-like softness, operational stability, self-powered capability, and high sensitivity remains a major challenge... read more 

Immune cell delivery platforms for tumor therapy: From empirical approaches to AI-integrated frameworks.

Journal of controlled release : official journal of the Controlled Release Society
The heterogeneity and immunosuppressive characteristics of the tumor microenvironment present significant challenges to traditional treatment strategies, including inadequate targeting and variable drug resistance. In recent years, immune cell-based ... read more 

Predicting Preschool Children's Screen Time: The Role of Parental Digital Habits and Bandura's Social Learning Theory.

Research and theory for nursing practice
Aim: The aim of this study was to identify the factors influencing preschool children's daily smartphone and tablet use and to evaluate the relative importance of these factors using machine learning models. Furthermore, the findings were discussed w... read more 

Artificial intelligence-driven workflow synchronizing interdisciplinary dentistry: Narrative review.

Journal of prosthodontic research
PURPOSE: This narrative review summarizes an artificial intelligence (AI)-integrated digital workflow that enables a seamless, multidisciplinary approach to dental diagnosis and treatment planning, aiming to improve diagnostic coordination, efficienc... read more 

Deep self-attention reinforcement learning adaptive gait planning and control for lower limb rehabilitation exoskeletons robot.

iScience
Aiming at the gait planning challenges of lower limb rehabilitation exoskeletons for adapting to user-specific gait characteristics, this study proposes an adaptive gait planning framework based on an improved deep deterministic policy gradient (DDPG... read more