Public Health & Policy

Latest AI and machine learning research in public health & policy for healthcare professionals.

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Showing 121-140 of 11,066 articles

Plastic Surgery Search Engine Optimization in the Artificial Intelligence Era.

Marketing in aesthetic plastic surgery has shifted from traditional print and television toward digital-first strategies, with social media and search engine optimization (SEO) now shaping how patients engage with practices. More than 90% of cosmetic patients seek information through web searches and social platforms before a consultation. Artificial intelligence (AI) is accelerating this transfor...

Aug 12 2026 42592424

Digital and Smart Technologies for Early Pressure Injury Detection and Prevention in Stroke and Mobility-Impaired Patients: A Scoping Review.

BACKGROUND: Pressure injuries remain a major complication among stroke and other mobility-impaired populations. Digital and smart technologies are increasingly used to support early tissue-risk detection, monitoring, and prevention-related care processes. However, evidence remains dispersed across technology types, clinical functions, and care settings. METHODS: This scoping review followed the Jo...

Aug 12 2026 42591973
Scalable prediction of suicidal risk in university students: a three steps machine learning approach in university settings.

Suicide is a leading cause of death among young adults, with university students representing a particularly vulnerable subgroup. Although prevention ...

Aug 11 2026 42581052
Diagnostic decision-making, vertebral augmentation, and osteoporosis therapy in vertebral compression fractures: a narrative review.

Vertebral compression fractures (VCFs) represent the most prevalent osteoporotic fracture and constitute a growing cause of morbidity, mortality, and ...

Aug 11 2026 42576288
Opportunistic Screening for Chagas Disease Using an Artificial Intelligence-Enabled ECG: Prospective Evaluation of Feasibility and Diagnostic Accuracy.

BACKGROUND: Chagas disease (ChD), a neglected cardiovascular condition, affects 7.5 to 10.5 million people worldwide. Opportunistic screening during r...

Aug 11 2026 42576808
Perspective: The Future of Peritoneal Dialysis in the Era of Telemedicine and Artificial Intelligence.

Peritoneal dialysis (PD) represents one of the major modalities for home-based renal replacement therapy, offering autonomy and flexibility to patient...

Aug 11 2026 42579647
A Machine Learning Pipeline to Analyze Global Sentiment and Factors Influencing Retinoblastoma Treatment Hesitancy: Observational Infodemiology Study.

BACKGROUND: The use of social media in cancer research, patient support, and information sharing has been well documented. OBJECTIVE: Using retinoblas...

Aug 11 2026 42579819
Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study.

BACKGROUND: Accurate forecasting of influenza-like illness (ILI) is crucial for public health. Integrating novel digital data streams (eg, internet se...

Aug 11 2026 42579878
Clonal hematopoiesis of undetermined potential as an emerging determinant of inflammageing, and age-related diseases: potential role as biomarker and target.

Clonal hematopoiesis of undetermined potential (CHIP), initially discovered as a mere hematological curiosity, now represents a clinically significant...

Aug 11 2026 42580598
Real-world evidence on antibiotic use among privately insured beneficiaries in Saudi Arabia: a retrospective analysis of claims data.

OBJECTIVES: Inappropriate and broad-spectrum antibiotic use contributes to antimicrobial resistance (AMR) and higher healthcare costs. In Saudi Arabia...

Aug 11 2026 42580838
Real-world analysis of depression-related adverse events associated with the adsorbed anthrax vaccine: integrating pharmacovigilance signals, machine learning risk prediction, and transcriptomic mechanisms.

BACKGROUND: Anthrax remains a life-threatening zoonotic disease in resource-limited settings. Adsorbed anthrax vaccine (AVA, BioThrax) is the only Uni...

Aug 10 2026 42576235
Advances and opportunities in point-of-care detection of toxic metals: a review of electrochemical and non-electrochemical approaches.

Heavy metal contamination remains a persistent global threat to human health and the environment, driving the urgent need for rapid, portable, and sen...

Aug 10 2026 42093416
Predicting Prehospital Blood Transfusion After Motor Vehicle Trauma.

OBJECTIVES: Prehospital blood transfusion (PHBT) improves outcomes among patients with traumatic hemorrhagic shock, yet the epidemiology and geographi...

Aug 10 2026 42574268
Building a Natural Language Processing Augmented Information Support System to Enhance Supportive Care for Patients With Prostate Cancer and Families: User-Centered, Iterative Approach.

BACKGROUND: Patients with prostate cancer and their families face significant challenges during transitions from diagnosis to treatment and posttreatm...

Aug 10 2026 42574684
Social Media as a Driver of Obesity in Children and Adolescents (Aged 6-18 Years): It Is Time for Regulatory Action.

Obesity in children and adolescents is rising in China and globally, with health consequences that are already evident during childhood. This Viewpoin...

Aug 10 2026 42574737
Calibration Model for Purple Air monitored PM2.5 across the United States.

Accurate monitoring of PM2.5 is vital for understanding air quality and public health impacts. Purple Air sensors (PA) have filled in PM2.5 gaps spati...

Aug 10 2026 42575415
Recent advancements in artificial intelligence applications for the mitigation of antimicrobial resistance: challenges and opportunities.

Antimicrobial resistance (AMR) poses a significant global public health threat, and efforts to mitigate it have been aided by artificial intelligence ...

Aug 10 2026 42577011
Ethical aspects of artificial intelligence use in neonatal intensive care units: a scoping review.

UNLABELLED: This study aims to map ethical, legal, social, professional, and implementation issues associated with artificial intelligence (AI) in neo...

Aug 9 2026 42572076
Explainable machine learning for spatial risk assessment of Hyphantria cunea (Lepidoptera: Erebidae) in China.

The fall webworm, Hyphantria cunea (Drury) (Lepidoptera: Erebidae), is a highly polyphagous invasive pest that poses increasing economic and ecologica...

Aug 8 2026 42571877
Beyond Accuracy: A Mixed-Methods Audit of Chain-of-Thought Failures in LLM-Based COVID-19 Vaccine Stance Detection.

This mixed-methods study assessed whether reasoning-enabled large language models (LLMs) can classify stances towards COVID-19 vaccination on X (forme...

Aug 8 2026 42570145
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