Artificial Intelligence Medical Compendium

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

Showing 67,091 to 67,100 of 232,511 articles

Integrating AI-driven technologies and facial-semantic features for depression detection: A cross-sectional study.

Journal of affective disorders
BACKGROUND: Depression is a major global health concern, still individuals with depressive tendencies remain undetected in outpatient settings due to the limitations of self-report, stigma, and reporting bias. Advances in artificial intelligence (AI)... read more 

Assembly delivery of bioactive matters: Advances, challenges, and prospects.

Journal of advanced research
BACKGROUND: Assembled delivery systems (ADS) are a novel drug delivery technology that has emerged in biomedical engineering in recent years. By integrating molecular self-assembly with intelligent functional materials, ADS enables efficient delivery... read more 

The application of machine learning in nuclear magnetic resonance (NMR) peak selection for metabolomics studies.

Analytical biochemistry
Nuclear magnetic resonance (NMR), which is famous for its nondestructive nature and high reliability, is one of the principal analytical platforms in metabolomics. NMR metabolomics has been widely used in human and environmental health studies in the... read more 

In response to Liu et al.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
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The actual performance of ML/AI models in predicting radiation-induced toxicity in head and neck cancer: a systematic review and meta-analysis.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
An increasing number of Artificial intelligence (AI) and machine learning (ML) models are being developed to predict radiation-induced toxicities (RITs) in patients with head and neck cancer (HNC). But their performance and reliability remain uncerta... read more 

Development of Machine-Learning Models for Predicting Escherichia coli O157:H7 Inactivation on Fresh-Cut Lettuce during Chlorine Washing.

Journal of food protection
Minimally processed leafy greens are a recurrent vehicle for E. coli O157:H7 outbreaks, and chlorine washing remains the primary in-plant hurdle to limit cross-contamination. Yet, the effectiveness of chlorine depends on interacting factors that chal... read more 

Learning with AI, not from AI: Ethical and pedagogical implications of ChatGPT in undergraduate education.

Nurse education today
AIM: To explore how first-year nursing students engaged with ChatGPT during an assessment task, and to understand the experiences, challenges, and perceptions they reported regarding its use in academic work. BACKGROUND: As artificial intelligence (A... read more 

Federated Learning for Multi-Disease Ophthalmic Diagnostics Using OCT Angiography.

Ophthalmology science
PURPOSE: To conduct a comprehensive systematic evaluation of federated learning (FL) strategies for multi-disease retinal classification using OCT angiography (OCTA), implementing a 2-part experimental framework to establish foundational feasibility ... read more 

Calcium carbonate in drug delivery: functional carrier design, applications, and data-driven perspectives.

Expert opinion on drug delivery
INTRODUCTION: Calcium carbonate particles are a very potent type of inorganic drug delivery carriers, which have attractive pH responsiveness, strong mechanical properties, and a relatively high loading capacity. Adding organic constituents, like hyd... read more 

Exploring Patients' Profiles Associated With the Resolution of Acute Calcium Pyrophosphate Arthritis Treated With Colchicine and Prednisone: Post Hoc Analysis of a Randomized Controlled Trial.

Arthritis care & research
OBJECTIVE: The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. METHODS: We conducted a post hoc analysis of the COLCHICORT tria... read more