Primary Care

Task-shifting to nonexperts using artificial intelligence-guided point-of-care ultrasound: a cohort study of patient selection, image quality, and learning curves.

AIMS: To define rates of diagnostic image acquisition, clinical drivers of image quality and the learning curve for artificial intelligence (AI)-guided image acquisition on point-of-care ultrasound (AI-POCUS) in rural and remote communities. METHODS AND RESULTS: AI-guided image acquisition on point-of-care ultrasound was performed using AI software integrated with a desktop ultrasound system in 18...

Digital Implant Dentistry: The Past, the Present, the Future.

Digital implant dentistry has evolved from the analogue fundamentals of osseointegration to a highly data-driven discipline that integrates advanced imaging, virtual planning, guided surgery, and computer-aided prosthetics. The past was characterized by two-dimensional diagnostics, freehand implant placement, and conventional impressions, which-despite their limitations-enabled pioneering therapeu...

A multicenter study on the prediction model for chronic low back pain after lumbar decompression surgery in patients with diabetes mellitus: integration of metabolic and paraspinal muscle features.

OBJECTIVE: Based on multicenter clinical data, this study aimed to develop and validate a predictive model for chronic low back pain (CLBP) after lumb...

Streamlining the Abstract Selection Process for the American Society of Breast Surgeons' Annual Meeting by Utilizing Large Language Models.

PURPOSE: The American Society of Breast Surgeons (ASBrS) receives an increasing number of abstracts for its annual meeting, resulting in increasing ti...

Tetrapeptide inhibitors of BACE-1 revealed by combined data-driven screening and physics-based free-energy refinement.

Alzheimer's disease remains a major global health challenge, and β-site amyloid precursor protein cleaving enzyme 1 (BACE-1) represents a critical the...

Precision Transfusion Medicine in the Omics Era.

Transfusion medicine has practiced a form of precision medicine for decades through compatibility testing, infectious disease screening, component man...

Artificial Intelligence-Assisted Screening for Patients With Diabetic Retinopathy and Age-Related Macular Degeneration in Family Medicine and Geriatric and Gerontology Care: Protocol for a Pragmatic Randomized Clinical Trial.

BACKGROUND: Diabetic retinopathy (DR) and age-related macular degeneration (AMD) are 2 of the leading causes of vision loss worldwide. As population a...

Operationalizing AI-Assisted Polypharmacy Review in Post-Acute and Long-Term Care: A 4Ms-Based, NP-Led Workflow.

Polypharmacy in post-acute and long-term care (PA/LTC) is common and is associated with falls, delirium, hospitalization, functional decline, and mort...

DFT and machine learning investigation of Au/Pt-decorated SnS₂ monolayers for asthma and COPD diagnosis.

Asthma and Chronic Obstructive Pulmonary Disease (COPD) are among the most prevalent chronic respiratory diseases worldwide, affecting hundreds of mil...

Suicide risk prediction and analysis of associated factors among high school students in four provinces of China based on explainable machine learning.

BACKGROUND: Suicidal ideation (SI) among adolescents is a severe global public health issue; however, accurate identification and mechanistic explanat...

Intelligent machine learning solutions with Bayesian regularization backpropagation adaptive networks for differential systems of Maize streak virus diseases.

Maize streak virus, a cause of maize streak disease, poses a major threat to food security that significantly reduces yields of maize, a crucial food ...

Comparing the Performance of Conversational Artificial Intelligence Models in Answering Patient Questions About Dental Implants.

OBJECTIVE: In this study, the aim was to compare three widely used AI-based chatbots, ChatGPT-4.5, DeepSeek, and Claude Sonnet 3.7. This study investi...

Identifying critical period of type 2 diabetes in Chinese population with leading molecules based on dynamic network biomarkers.

Diabetes has become a significant global public health challenge, and prediabetes (preD), as the earliest detectable stage of glucose metabolism disor...

AI-based CT quantification reveals small airway loss and vascular simplification in rheumatoid arthritis-associated lung disease.

OBJECTIVES: To investigate pulmonary structural changes in patients with rheumatoid arthritis (RA) using an artificial intelligence (AI)-based CT segm...

Hierarchical multi-instance learning for targeted triage and classification of common left-to-right shunt lesions from echocardiography videos.

BACKGROUND: Transthoracic echocardiography is the first-line test for congenital heart disease (CHD), but accurate targeted triage and lesion subtypin...

Machine learning prediction of postoperative pulmonary infection in patients who underwent thoracoscopic lung cancer resection: a retrospective case-control study.

BACKGROUND: Accurate identification of patients at high risk of pulmonary infection after thoracoscopic lung cancer resection is important for timely ...

Decoupling clinker technology from cement product emissions: A macroeconomic ML-LCA framework for global embodied carbon policy screening.

The cement industry contributes approximately 7-8% of global anthropogenic CO2 emissions, yet accurate cradle-to-gate embodied carbon estimation requi...

Exploring AI-Driven Interventions for Preventing and Managing Malnutrition in Older Adults: A Systematic Review.

PURPOSE: The primary objective of this systematic review is to explore the role of AI-driven interventions in preventing and managing malnutrition in ...

Rethinking cancer screening in Italy: equity, performance and innovation.

OBJECTIVES: To examine the current performance of cancer screening programs in Italy, evaluate the evolving regulatory and clinical guideline framewor...

Interpretable deep learning to predict one year glycemic control in type 1 diabetes using real world data.

Type 1 diabetes (T1D) involves long-term health risks and challenges in individualizing therapeutic strategies. Meeting glycemic targets is a reliable...