Artificial Intelligence Medical Compendium

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

Showing 32,261 to 32,270 of 221,076 articles

Artificial Intelligence-Guided Quantitative Coronary CT Assessment to Rule-In or Rule-Out Myocardial Ischemia.

European heart journal. Cardiovascular Imaging
AIMS: To evaluate the ability of AI-based quantitative CT (AI-QCT) parameters, diameter stenosis, percent atheroma volume (PAV) and average lumen area (ALA) to rule-in or rule-out ischemia. METHODS AND RESULTS: This post-hoc, vessel-level analysis in... read more 

Dual Component Framework Approach for Automated Nerve Conduction Study Interpretation: Rule-Based Coding and Fine-Tuned Language Model.

Muscle & nerve
INTRODUCTION/AIMS: Nerve conduction study (NCS) interpretation is labor-intensive, and automation may improve clinical workflow. We developed a dual framework integrating rule-based coding and fine-tuned language models to standardize reporting and e... read more 

A global perspective on autoimmunity and immunodeficiency: exploring geoepidemiology trends.

Current opinion in immunology
Autoimmune and primary immunodeficiency disorders represent a growing global health burden influenced by a complex interplay of genetic, environmental, and socioeconomic factors. This paper offers a geoepidemiological analysis of these conditions, hi... read more 

Field-theoretical analysis of AI-enabled social support and teacher professional identity in preschool teacher education.

Acta psychologica
Strengthening the professional identity of preservice teachers with effective social support is an important approach for tackling teacher turnover in the field of early childhood education. This study explores the predictive effect of AI-enabled soc... read more 

Exploring learning motivation in the era of generative artificial intelligence among Chinese students majoring in translation and interpreting: A Q methodology study.

Acta psychologica
Generative artificial intelligence (GenAI) has brought significant while unpredictable changes to the learning motivation of students from various majors including translation and interpreting (T&I). Therefore, this study aims to explore learning mot... read more 

Steering generative models for protein design: Aligning and conditioning strategies.

Current opinion in structural biology
Generative artificial intelligence models learn probability distributions from data and produce novel samples that capture the salient properties of their training sets. Proteins are particularly attractive for such approaches given their abundant da... read more 

Artificial intelligence in critical synthesis of public health responses to violence: A novel application to UK violence prevention policy.

Public health
OBJECTIVES: Artificial intelligence (AI) systems are increasingly applied in public health, yet their use for analysing fragmented, multi-sectoral policy landscapes remains underdeveloped. This study aimed to describe the development and preliminary ... read more 

Artificial intelligence literacy, readiness, and innovativeness: Exploring interrelationships in undergraduate nursing students.

Nurse education today
AIM/OBJECTIVE: This study aimed to examine the relationships between AI literacy, medical AI readiness, and individual innovativeness among nursing students. BACKGROUND: Integrating artificial intelligence (AI) into healthcare requires future nurses ... read more 

Breast area affects the performance of a commercial artificial intelligence algorithm assessment of negative digital breast tomosynthesis exams.

European journal of radiology
OBJECTIVE: To understand whether cancer-neutral image attributes (breast area and number of slices) impact an AI algorithm assessment of negative digital breast tomosynthesis (DBT) screening exams. METHODS: This retrospective cohort study included wo... read more