Health Policy

Leveraging Machine Learning to Uncover Ethnic-Specific Predictors of Maternal Postpartum Depression.

Maternal postpartum depression (PPD) is a significant mental health issue that affects over 15% of mothers, with adverse effects on their children. Ethnic disparities in PPD represent a pressing public health concern, and minority mothers are found to have a higher likelihood of being affected by PPD. Identifying specific risk factors for these mothers is crucial for developing targeted preventive...

Use of artificial intelligence in transfusion medicine practice, education and research: A mixed methodology study.

BACKGROUND AND OBJECTIVES: The artificial intelligence (AI) field holds significant promise to revolutionize healthcare, including transfusion medicine (TM). This study explored AI use in TM, education and research among International Society of Blood Transfusion (ISBT) members. MATERIALS AND METHODS: A mixed methodology was employed. A survey was conducted June to November 2024. Eighteen particip...

Machine learning-based analysis of economic efficiency disparities and transition drivers between high- and low-carbon industries in China.

In the context of global climate change, understanding economic efficiency disparities between high-carbon and low-carbon industries is crucial for ad...

Development of a Predictive Calculator for the Need for Abdominoperineal Resection after Chemoradiation Therapy in Anal Squamous Cell Carcinoma.

BACKGROUND: Chemoradiation therapy (CRT) is standard treatment for anal squamous cell carcinoma (ASCC). Abdominoperineal resection (APR) is usually re...

Expanding the horizon of oculomics: A narrative review on the emerging roles of the anterior segment and mobile health.

Oculomics uses the eye to gain insights into systemic health. Although initially focused on retinal imaging, oculomics now studies various ocular sign...

Impact of multimodal education management on postoperative rehabilitation after total knee arthroplasty: A machine learning-based prediction model study.

This study aimed to evaluate the impact of multimodal education management using illustrated pathway with video education (IPVE) on rehabilitation qua...

What stole Chinese older adults' life satisfaction? Integrating medical statistics and machine learning with a life-course perspective using CHARLS data.

BACKGROUND: As China enters a rapidly aging era, understanding the determinants of life satisfaction among older adults has become a pressing research...

Improving machine-learning development in allergology: bridging the gap between open-access and cohort-based databases.

PURPOSE OF REVIEW: The advent of high-throughput data generation and artificial intelligence has transformed allergy research. Open-access database (O...

A simplified co-culture reveals altered cardiotoxic responses to doxorubicin in hPSC-derived cardiomyocytes in the presence of endothelial cells.

Cardiotoxicity is a significant challenge in cancer therapies, particularly with doxorubicin, a widely used anthracycline. More predictive in vitro mo...

Early detection of female-specific cancers using longitudinal healthcare records with a multichannel convolutional neural network.

OBJECTIVES: Female-specific cancers, including breast, ovarian, cervical and uterine malignancies, lack comprehensive early detection approaches, part...

Artificial intelligence to improve the detection and risk stratification of acute pulmonary embolism (AID-PE): protocol for a pragmatic quasi-experimental comparator study.

INTRODUCTION: Pulmonary embolism (PE) is a potentially fatal condition requiring timely diagnosis and treatment. CT pulmonary angiography (CTPA) is th...

Start4All protocol for a Bayesian cost-effectiveness model of tuberculosis screening and diagnosis in seven high burden low-income and middle-income countries.

INTRODUCTION: High costs of screening and diagnostic tests remain a major barrier to timely tuberculosis (TB) identification in resource-limited setti...

Neuroimaging in Low- to Middle-Income Countries: A Health Equity Perspective.

BACKGROUND: Inequities in neuroimaging access represent a major barrier to timely diagnosis and treatment of neurologic disease, particularly in low- ...

Artificial intelligence-based waste detection in robotic surgery: a pilot validation study of computer vision technology.

Cost containment remains critical for widespread adoption of robotic surgery, yet operating room waste of single-use supplies represents a significant...

NTDscope: A multi-contrast portable microscope for disease diagnosis.

Accurate diagnostics are essential for disease control and elimination efforts. However, access to diagnostics for neglected tropical diseases (NTDs) ...

BENMO|Simulation: A computationally efficient and biologically enhanced model for nutrient dynamics in coastal bays.

Simulating nutrient dynamics in coastal bays is challenged by the high computational cost and the oversimplification of multi-trophic organisms proces...

Computational Evolution of Anti-PD-1 Antibodies Induces Structural Refolding for High-Affinity Interactions.

Checkpoint inhibitors targeting the PD-1/PD-L1 axis are key immunotherapies, but the dynamic and flexible nature of PD-1 complicates rational antibody...

A Comprehensive Approach to Days' Supply Estimation in a Real-World Prescription Database: Algorithm Development and Validation Study.

BACKGROUND: For accurate medication usage statistics and medication adherence calculations, we need to have an accurate days' supply (DS) for each pre...

An Adaptive Blockchain Framework for Federated IoMT with Reinforcement Learning-Based Consensus and Resource Forecasting.

The rapid growth of the Internet of Medical Things (IoMT) has increased the adoption of remote healthcare applications and telemedicine services. A Ma...

Quality-label-free fetal brain MRI quality control based on image orientation recognition uncertainty.

Quality control (QC) in fetal MRI is essential for efficient, high-quality data acquisition and analysis aimed at assessing fetal brain development an...