Artificial Intelligence Medical Compendium

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

Showing 20,951 to 20,960 of 216,088 articles

Nostalgia proneness and acceptance of AI-designed cultural products: the mediating role of perceived authenticity and the moderating role of need for uniqueness.

BMC psychology
Artificial intelligence is increasingly used to design cultural and creative products, yet consumer acceptance varies considerably. Personality traits may play a key role in shaping these responses, but research has not examined how nostalgia pronene... read more 

Exploring the prognostic role of senescence-related genes in gastric cancer through multi-omics integration and machine learning.

Human genomics
Cellular senescence plays a context-dependent role in gastric cancer (GC), functioning both through tumor-suppressive arrest and the tumor-promoting senescence-associated secretory phenotype. However, its systematic integration into prognostic models... read more 

Using randomization to compare AI and expert-generated formative assessment questions in medical education.

Medical education online
BACKGROUND: AI-generated content is being used across the education spectrum and is beneficial for creating complex multiple-choice questions, such as those used in medical education. However, evaluating AI-generated content is challenging, and exist... read more 

An artificial intelligence classifier as a screening tool to rule out otitis media in children.

International journal of pediatric otorhinolaryngology
OBJECTIVE: Acute otitis media is the most common bacterial infection among children and a significant global health burden. Despite its high incidence, diagnostic accuracy is poor. The objective of this study was to evaluate whether an artificial int... read more 

Quantifying wildfire impacts on atmospheric pollutants using fire exposure metrics and machine-deep learning approaches.

Scientific reports
Wildfires are increasingly recognised as major contributors to atmospheric pollution, yet their spatial-temporal influence on regional air quality remains insufficiently understood. This study quantifies the impact of wildfire activity on atmospheric... read more 

Comparative analysis of large language models and clinicians in thyroid eye disease using structured questionnaires.

Scientific reports
To preliminarily evaluate agreement between large language models (LLMs) and ophthalmic clinicians regarding thyroid eye disease (TED) clinical decision-making, we developed a structured questionnaire for TED-related scenarios. A structured pilot onl... read more 

Automated phenotyping of ophthalmologic diseases from routine medical records using small language models and the human phenotype ontology (HPO).

Scientific reports
Automated phenotyping in ophthalmology requires accurate standardization of clinical terms to facilitate interoperability and research. This study evaluates the suitability of the human phenotype ontology (HPO) for automated extraction of ophthalmic ... read more 

Research on a lightweight model for laser-cut diamond defect detection based on multi-module collaborative optimization.

Scientific reports
As a high-end abrasive material, diamond is prone to defects such as cracks and ablation during laser cutting due to complex physical interactions. Achieving efficient and accurate detection of laser-cut diamond defects is crucial for enhancing produ... read more 

Are Psychiatry Faculty Prepared to Guide AI Use? A National Survey.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry
OBJECTIVE: To assess psychiatry faculty knowledge, use, and perceptions of artificial intelligence (AI) in undergraduate medical education (UME) and graduate medical education (GME), and examine awareness of institutional AI policies. METHODS: A nati... read more