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Development and validation of diagnostic and prognostic prediction tools for dental caries in young children through prospective and cross-sectional observational studies: a protocol.

BMJ open
INTRODUCTION: Dental caries is the most common oral disease worldwide, affecting up to 90% of children globally. It can lead to pain, infection and impaired quality of life. Early prevention is a key strategy for reducing the prevalence of dental car...

Deep learning prediction of peak oxygen uptake in patients with coronary heart disease: a retrospective study.

BMJ open
OBJECTIVE: To develop and validate prediction models for peak oxygen uptake (VO₂peak) in patients with coronary heart disease (CHD) using submaximal cardiopulmonary exercise testing (CPET) indicators and deep learning methods.

Artificial neural networks as a prognostic tool using hyperspectral imaging on pretherapeutic histopathological specimens of esophageal adenocarcinoma.

Journal of cancer research and clinical oncology
PURPOSE: The integration of artificial intelligence (AI) with hyperspectral imaging (HSI) offers a promising avenue for improving pre-therapeutic prognosis, a key factor in optimizing cancer treatment strategies. This study explores the potential of ...

Predicting six-month mortality in adult hemophagocytic lymphohistiocytosis with machine learning: a prognostic approach utilizing laboratory data.

Annals of medicine
BACKGROUND: Hemophagocytic lymphohistiocytosis (HLH) is associated with high mortality rates. This study was conducted to develop and validate a predictive model for adult HLH patients at high risk of six months mortality using machine learning (ML) ...

Explainable prediction of hypothermia risk in laparoscopic surgery: a retrospective cross-sectional study using machine learning.

BMC surgery
OBJECTIVE: This study aims to develop multiple machine learning models for predicting hypothermia risk in laparoscopic surgery and to perform interpretability analysis of the best-performing model. Our goal is to provide robust decision support for c...

Detecting pancreaticobiliary maljunction in pediatric congenital choledochal malformation patients using machine learning methods.

BMC surgery
OBJECTIVE: The presence of pancreaticobiliary maljunction (PBM) in pediatric patients with congenital choledochal malformation significantly impacts clinical management and surgical decision-making. Current preoperative evaluation of PBM coexistence ...

Identification of methylation-related genes and the potential regulatory mechanism of SLAMF6 in CMS4 colorectal cancer.

Clinical epigenetics
BACKGROUNDS: Consensus molecular subtype 4 (CMS4) of colorectal cancer (CRC) is characterized by TGF-β activation, and generally accompanied with metastasis and recurrence. Nevertheless, molecular biomarkers and regulatory mechanisms underlying CMS4 ...

Survival risk stratification of 2021 WHO glioblastoma by MRI radiomics and biological exploration.

BMC cancer
BACKGROUND: There is variability in overall survival among 2021 World Health Organization isocitrate dehydrogenase wild type glioblastoma (IDH-wt GBM) patients. The aim of the study was to develop a combined model for stratifying survival risk in IDH...

Safety and efficacy of add-on robotic therapy for early mobilization in intermediate neurocritical care: a pilot study.

Journal of neuroengineering and rehabilitation
BACKGROUND: Early mobilization has become a cornerstone of critical care due to its benefits in mitigating adverse effects associated with prolonged immobility. Individuals with critical neurosurgical conditions face unique challenges for mobilizatio...