Health Policy

Super-resolution deep-learning reconstruction with 1024 matrix improves CT image quality for pancreatic ductal adenocarcinoma assessment.

OBJECTIVES: To evaluate the efficiency of super-resolution deep-learning reconstruction (SR-DLR) opt...

Cost-effectiveness of AI-based diabetic retinopathy screening in nationwide health checkups and diabetes management in Japan: A modeling study.

AIMS: We evaluated the cost-effectiveness of artificial intelligence (AI)-based diabetic retinopathy...

Integrating machine learning models for optimizing ecosystem health assessments through prediction of nitrate-N concentrations in the lower stretch of Ganga River, India.

Nitrate, a highly reactive form of inorganic nitrogen, is commonly found in aquatic environments. Un...

Operational Advantages of Novel Strategies Supported by Portability and Artificial Intelligence for Breast Cancer Screening in Low-Resource Rural Areas: Opportunities to Address Health Inequities and Vulnerability.

Early detection of breast cancer plays a crucial role in reducing the number of cases diagnosed at a...

Utilizing AI to Improve Healthcare Access and Address Disparities in Dermatology.

Large language models in methodological quality evaluation of radiomics research based on METRICS: ChatGPT vs NotebookLM vs radiologist.

OBJECTIVES: This study aimed to evaluate the effectiveness of large language models (LLM) in assessi...

Deep learning image registration for cardiac motion estimation in adult and fetal echocardiography via a focus on anatomic plausibility and texture quality of warped image.

Temporal echocardiography image registration is important for cardiac motion estimation, myocardial ...

Intraindividual Comparison of Image Quality Between Low-Dose and Ultra-Low-Dose Abdominal CT With Deep Learning Reconstruction and Standard-Dose Abdominal CT Using Dual-Split Scan.

OBJECTIVE: The aim of this study was to intraindividually compare the conspicuity of focal liver les...

From errors to excellence: the pre-analytical journey to improved quality in diagnostics. A scoping review.

This scoping review focuses on the evolution of pre-analytical errors (PAEs) in medical laboratories...

Development and validation of machine learning-based prediction model for central venous access device-related thrombosis in children.

BACKGROUND: Identifying independent risk factors and implementing high-quality assessment tools for ...

Artificial intelligence-powered chatbots in search engines: a cross-sectional study on the quality and risks of drug information for patients.

BACKGROUND: Search engines often serve as a primary resource for patients to obtain drug information...

Health professionals' perspectives on the use of Artificial Intelligence in healthcare: A systematic review.

INTRODUCTION: Artificial Intelligence (AI) is fast emerging as a crucial tool for improving patient ...

Dissecting the effectiveness of deep features as metric of perceptual image quality.

There is an open debate on the role of artificial networks to understand the visual brain. Internal ...

Deep learning-based Monte Carlo dose prediction for heavy-ion online adaptive radiotherapy and fast quality assurance: A feasibility study.

BACKGROUND: Online adaptive radiotherapy (OART) and rapid quality assurance (QA) are essential for e...

Determination of quality differences and origin tracing of green tea from different latitudes based on TG-FTIR and machine learning.

Latitude differences can significantly affect the quality of tea, while in-depth research in this fi...

Advancing health equity: evaluating AI translations of kidney donor information for Spanish speakers.

BACKGROUND: Health equity and access to essential medical information remain significant challenges,...

Integrating hyperspectrograms with class modeling techniques for the construction of an effective expert system: Quality control of pharmaceutical tablets based on near-infrared hyperspectral imaging.

Near-infrared hyperspectral imaging (NIR-HSI) integrated with expert systems can support the monitor...

Regional Image Quality Scoring for 2-D Echocardiography Using Deep Learning.

OBJECTIVE: To develop and compare methods to automatically estimate regional ultrasound image qualit...

Optimized Adaboost Support Vector Machine-Based Encryption for Securing IoT-Cloud Healthcare Data.

The Internet of Things (IoT) connects various medical devices that enable remote monitoring, which c...

A Comparison of Prostate Cancer Screening Information Quality on Standard and Advanced Versions of ChatGPT, Google Gemini, and Microsoft Copilot: A Cross-Sectional Study.

PurposeArtificially Intelligent (AI) chatbots have the potential to produce information to support s...

MaTableGPT: GPT-Based Table Data Extractor from Materials Science Literature.

Efficiently extracting data from tables in the scientific literature is pivotal for building large-s...