Latest AI and machine learning research in health policy for healthcare professionals.
Men's health urology faces growing challenges driven by workforce shortages, rising disease burden, and persistent disparities in care. Despite an increasing prevalence of conditions like benign prostatic hyperplasia, prostate cancer, and urinary tract infections, more than half of U.S. counties lack a practicing urologist. Stigma, access, and uncertainty lead men to delay care further, resulting ...
BACKGROUND: AI is rapidly transforming health systems, expanding from diagnostic imaging and predictive analytics to large language model-enabled clinical decision support. However, significant governance challenges persist, including algorithmic bias, privacy risks, limited transparency, and inequities in access. Despite the proliferation of national AI strategies, global governance remains fragm...
BACKGROUND: Digital scribes use automatic speech recognition to transcribe a clinician-patient conversation and use generative artificial intelligence...
OBJECTIVE: To develop and validate a machine learning model identifying typhoid fever patients at risk of unnecessarily prolonged hospitalization, and...
This paper examines the integration of artificial intelligence (AI) into cancer screening programmes, focusing on the associated equity challenges and...
Innovations like teleophthalmology have made great strides in improving access to care for patients with retinal disease by enabling prompt screening ...
The quality of meat and meat products critically affects consumer acceptance, market value, and food safety. Traditional quality evaluation methods re...
PURPOSE OF REVIEW: Heart failure (HF) is increasingly understood not as a single, uniformly treated diagnosis but as a heterogeneous syndrome requirin...
BACKGROUND: Air pollution modeling generally suffers from the limited and uneven distribution of fixed air quality monitoring (AQM) stations. Low-cost...
INTRODUCTION: Clinical trials have demonstrated the benefits of early detection of lung cancer (LC); however, the implementation of national LC screen...
Although numerous etiological factors have been proposed for neurodevelopmental disorders, the contribution of environmental exposures remains insuffi...
Healthcare insurance fraud causes substantial financial losses, operational inefficiencies, and reduced trust among patients, providers, and insurers....
BACKGROUND: Vaccine hesitancy is a major public health problem that threatens global immunisation programmes. The use of artificial intelligence-based...
STUDY QUESTION: How do the three most widely accessible large language models perform in terms of accuracy, consistency, and reliability when answerin...
BACKGROUND: HEDIS Childhood Immunization Status (CIS) Combination 10 is a pediatric quality measure within a widely used health care performance frame...
Multi-omics data integration holds great promise for precision medicine, yet its clinical adoption is hindered by high acquisition costs and the compl...
INTRODUCTION: On average, women now spend more than one-third of their lives in the post-reproductive period, yet menopause care across Europe remains...
Cultivated land is fundamental to global food security and sustainable development. However, quantifying changes in its long-term quality at a nationa...
The growing use of AI to support patient portal message management requires rigorous preclinical evaluation. Directly testing AI within electronic hea...
BACKGROUND: Suboptimal diet quality contributes to poor health. Numerous factors at all levels of the socioecological model intersect to influence ind...