Health Policy

'Real time, real change': the role of artificial intelligence in providing real-time language translation services in regional medicine.

Artificial intelligence (AI) is rapidly evolving worldwide, enabling greater flexibility and applicability to the field of language translation within healthcare. Australia is currently one of the most culturally and linguistically diverse countries in the world, creating a growing pressure on translators to ensure there is equitable and culturally safe access to healthcare services. Emerging rese...

Attitudes, Needs, and Expectations Regarding the Application of AI in Occupational Healthcare: A Multiple Stakeholder Perspective.

OBJECTIVE: The aim of the study was to explore attitudes, needs, and expectations of employees, employers, and occupational health professionals regarding the application of AI in occupational healthcare. METHODS: Twenty-three semistructured interviews were conducted between May and December 2024. Data were analyzed using thematic analysis. RESULTS: The following five themes were identified: skept...

IPEM Topical Report: A National Survey of MRI Use for External Beam Radiotherapy Treatment Planning in the UK: 2025 IPEM Survey Results.

Magnetic Resonance Imaging (MRI) offers superior soft tissue contrast compared to Computed Tomography (CT), making it highly valuable in external beam...

Artificial intelligence for monitoring hand hygiene compliance in healthcare settings: A scoping review.

BACKGROUND: Hand hygiene is a fundamental measure for preventing healthcare-associated infections, yet traditional monitoring methods are significantl...

Solar-driven rooftop interfacial evaporation system for decentralized rainwater purification.

A global increase in freshwater scarcity coupled with a heterogeneous distribution of water treatment infrastructure highlights an urgent need for dec...

Optimizing Pichia Pastoris Cell-Free Protein Synthesis to Improve Economics.

Cell-free protein synthesis (CFPS) is a powerful and versatile platform that supports a wide range of applications, from fundamental studies of the ge...

Interpretable machine learning-augmented quantitative targeted flavoromics for quality grade prediction of Jiangxiangxing baijiu.

The quality of Jiangxiangxing (JXX) baijiu depends on its sensory and flavor characteristics, which traditional methods struggle to evaluate accuratel...

Pre-Imaging Clinical Factors Associated With Cardiac MR Image Quality Using Large Language Model-Enabled Data Extraction.

BACKGROUND: Poor cardiac MR image quality can prompt repeat examinations and hinder clinical decision-making. PURPOSE: To evaluate whether pre-imaging...

Design and laboratory verification of an AI-driven plant protection robot with a custom communication protocol.

Traditional agricultural plant protection primarily relies on manual labor and indiscriminate chemical spraying, resulting in inefficiency, increased ...

AttnEffNet-B4: an attention-augmented EfficientNet-B4 framework with fourier transformation for robust multi-disease diagnosis.

Early and precise disease detection in healthcare plays a vital role for better treatment results, healthier life expectancy, and good quality of care...

Application of an open-source AI tool for quantitative quality control in whole slide images of prostate needle core biopsies - a retrospective study.

The quality of Whole Slide Images (WSI) is a determining factor for proper diagnosis and prognosis, and for enhanced performance of Digital and Comput...

Rapid Evaluation of Artificial Intelligence Technology Used for Ambient Dictation in Primary Care: Comparing the Quality of Documentation of Artificial Intelligence-Generated and Human-Produced Clinical Notes.

BACKGROUND: Ambient artificial intelligence (AI) scribes can reduce the burden of administrative documentation. Prior evaluations have been vendor spe...

Toward sustainable energy production: a comparative machine learning framework for predicting green hydrogen cost across the african continent.

Rapid decarbonisation of hard-to-electrify sectors requires low-emission hydrogen, but deployment is constrained by uncertainty in the Levelized Cost ...

Comparing regular expression and machine learning approaches to predict immigrant status from primary care electronic medical record data in Ontario, Canada.

New immigrants often face barriers when navigating the healthcare system, which can create unmet healthcare needs and contribute to health inequities....

Industry-Sponsored Research Payments in Radiology: A National Open Payments Analysis.

INTRODUCTION: Industry funding for research is important in the era of decreasing federal research support. The goal of this study was to assess the t...

Artificial intelligence for research capacity strengthening: Two reviews and a pathway to shift power in global health.

Significant disparities persist in how researchers from low- and middle-income countries (LMICs) and high-income countries (HICs) participate in agend...

LungNet: Leveraging state-space models with SE-enhanced skip connections for precise CT-based lung lesion segmentation.

Lung cancer, which accounted for 2.48 million new cases and 1.82 million deaths worldwide in 2022, continues to be the most lethal cancer across the g...

Medical journalism: a primer for healthcare professionals and journalists in the artificial intelligence era.

Medical journalism is undergoing rapid renewal in a digital environment that accelerates discovery, conversation, and scrutiny across borders. Its pur...

Development of a Contextualized, Research-Based Flemish Assessment Framework for Digital Care, Assistance, and Support: Delphi Study.

BACKGROUND: The rapid evolution of digital technologies has transformed health, mental health, and social care, offering new modalities of digital car...

Artificial intelligence in public health-challenges and opportunities.

AI solutions are frequently presented as promising solutions to a wide range of global challenges, including public health. However, the potential the...