Preventive Care

[Annual progress in critical care of pulmonary medicine 2025].

This review systematically summarizes the annual research advances in the field of critical care of pulmonary, with a focus on pulmonary and critical care medicine (PCCM) worldwide from October 2024 to September 2025. This review focuses on severe pulmonary infections and their associated complications, such as sepsis and acute respiratory distress syndrome (ARDS), with an emphasis on early screen...

Predictive proteomics: Binary classification of Streptococcus pneumoniae vaccine types via MALDI-TOF MS and supervised learning algorithms.

INTRODUCTION: Laboratory surveillance of Streptococcus pneumoniae serotypes is crucial for the effective implementation of vaccines against invasive pneumococcal disease (IPD). The conventional serotyping method, the Quellung reaction, is time-consuming and expensive. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has transformed clinical microbiology a...

Prostate Cancer Screening in the MR Imaging Era: Evidence, Strategies, and Future Directions.

Prostate cancer screening has entered a new era with the integration of MR imaging and artificial intelligence (AI) into diagnostic workflows. This pa...

Integrated reiterative pipeline for rapid epitope-based pan-alphavirus vaccines.

The vast diversity of the virosphere underscores the need for rapid, adaptable vaccine development infrastructures. Arthropod-borne zoonotic alphaviru...

Validation of the Eyerobo FC Portable Fundus Camera for Diabetic Retinopathy Screening Using Public Datasets and Deep Learning.

INTRODUCTION: To validate the diagnostic performance of the Eyerobo FC, a new portable non-mydriatic fundus camera for diabetic retinopathy (DR) scree...

PIBAdb: a public cohort of multimodal colonoscopy videos and images including polyps with histological information.

BACKGROUND AND OBJECTIVE: Colorectal cancer is the third most common cancer worldwide and presents a high mortality rate. Colonoscopy is the gold stan...

Machine learning-based 4-domain framework for evaluating COVID-19 policy responses: a counterfactual analysis of 27 European OECD countries.

OBJECTIVES: European countries implemented highly diverse mitigation policies during the COVID-19 pandemic, ranging from strict nationwide lockdowns t...

Latent Supervision: A Method for Improved Performance and Calibration of Machine Learning Classification Models in Ophthalmology.

PURPOSE: Standard supervised learning assumes deterministic labels (e.g., positive or negative, present or absent), neglecting the diagnostic uncertai...

Prospective evaluation of artificial intelligence integration into breast cancer screening in multiple workflow settings: the GEMINI study.

Artificial intelligence (AI) tools can improve breast screening performance but different screening sites have varying needs. Here the GEMINI prospect...

GOLD 2026: Transforming COPD Management with Early Intervention, Multi-dimensional Assessment, and Personalized Care.

The 2026 report from the Global Initiative for Chronic Obstructive Lung Disease (GOLD) introduces substantial conceptual and practical updates to the ...

AI-Based Screening for At-Risk MASLD and Advanced Fibrosis in the US Population: A Cost-Effectiveness Analysis.

BACKGROUND: Metabolic dysfunction-associated steatotic liver disease (MASLD) is highly prevalent and often underdiagnosed until advanced fibrosis, lea...

Interpretable machine learning based decision tree model for predicting obstructive airway disease in a large non-smoking health screening population.

Sociodemographic Risk Factors for Incomplete Routine Childhood Immunizations Among Children Born During the COVID-19 Pandemic, Louisiana, March 1, 2020-July 1, 2021.

OBJECTIVE: Routine childhood vaccination rates declined nationwide among children born during 2020-2021 compared with prior birth cohorts. We identifi...

The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review.

INTRODUCTION: Intimate partner violence (IPV), encompassing physical, sexual, emotional and economic abuse, remains a pervasive global health concern....

Artificial intelligence-based quantification of breast arterial calcifications to predict cardiovascular morbidity and mortality.

BACKGROUND AND AIMS: Women are underdiagnosed and undertreated for cardiovascular disease (CVD). Automatic quantification of breast arterial calcifica...

The adaptive large language models for vaccine prediction: A novel approach to vaccine demand prediction with engineered deviation prompts.

Accurate vaccine demand forecasting is crucial for minimizing wastage and ensuring efficient immunization programs. In this study, we introduce an Ada...

Artificial Intelligence in Screening and Grading Diabetic Eye Diseases: A Systematic Review From Algorithms to Clinic.

SIGNIFICANCE: This systematic review comprehensively synthesises the progress of artificial intelligence in the grading diagnosis of diabetes-related ...

Performance of breast cancer risk prediction algorithms across mammography systems in the UK screening programme.

Thirty percent of interval breast cancers, diagnosed between routine screening mammograms, have a poorer prognosis than screen-detected cancers. Deep ...

Race/ethnicity, disability, and antenatal depression in the United States: population-level insights from machine learning.

OBJECTIVE: Women with intersecting identities, such as being both Black and disabled, face heightened risk of antenatal depression, yet few studies ex...

Multimodal Deep Learning-Based Screening of Degenerative Temporomandibular Joint Disease Using 2D Radiography: A Cost-Effective and Low-Radiation Approach.

OBJECTIVES: This study aimed to develop and preliminarily validate a multimodal deep learning model based on two-dimensional maxillofacial imaging for...