Artificial Intelligence Medical Compendium

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

Showing 4,021 to 4,030 of 203,626 articles

Pan-pathogen vaccine approaches: Toward broad-spectrum immunity in a One Health era.

Journal of microbiological methods
Emerging and re-emerging infectious diseases (EIDs) represent an escalating threat to global public health, as exemplified by outbreaks of COVID-19, Ebola, Zika, and other zoonotic viruses. Traditional pathogen-specific vaccines, although effective f... read more 

Robust end-to-end stratification of amyotrophic lateral sclerosis patients via recurrent variational autoencoder and consensus clustering.

Journal of biomedical informatics
OBJECTIVE: This study aims to develop a data-driven methodology for stratifying Amyotrophic Lateral Sclerosis (ALS) patients based on longitudinal disease progression patterns, using a novel deep learning framework that combines a Recurrent Variation... read more 

How machine learning applied on fMRI could improve the prognosis of the post-traumatic stress disorder: A systematic review.

Journal of affective disorders
BACKGROUND: Post-traumatic stress disorder (PTSD) is a stressor-related disorder that affects a significant proportion of the population worldwide. Despite the neurological nature of this disorder, its functional biomarkers, due to mixed results rema... read more 

The Cost of Convenient Truths: Artificial Intelligence in Matrix Biology.

Matrix biology : journal of the International Society for Matrix Biology
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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 

Multimodal Ultrasound Integration Pathways and Paradigm Innovations in Precision Diagnosis and Treatment of Thyroid Cancer.

Academic radiology
RATIONALE AND OBJECTIVES: Thyroid cancer, the fastest-growing endocrine malignancy, is shifting from morphological evaluation to molecular-functional imaging. This review systematically evaluates the translational value of multimodal ultrasound techn... read more 

Alignment of artificial intelligence-generated responses with systematic reviews in implant prosthodontics.

The Journal of prosthetic dentistry
STATEMENT OF PROBLEM: Large language model (LLM)-based artificial intelligence (AI) platforms have emerged as tools to support clinical decision-making in dentistry, but their alignment with high-level evidence from systematic reviews in implant pros... read more 

Evaluating machine learning tools to assist title and abstract screening in systematic literature reviews: a report based on the EULAR RA Management Recommendations Task Force.

Annals of the rheumatic diseases
OBJECTIVES: Systematic literature reviews (SLRs) provide the scientific basis for European Alliance of Associations for Rheumatology (EULAR) task force projects, but they are highly time- and labour-intensive in an ever-growing research landscape, re... read more