Public Health & Policy

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

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From error to prevention of wrong-level spine surgery: a review.

Wrong-level spine surgery remains a significant concern in spine surgery, leading to devastating con...

Surveillance of SARS-CoV-2 RNA in wastewater treatment plants in Türkiye, Istanbul: a long-term study and statistical analysis.

Wastewater-based epidemiology (WBE) is a powerful method that allows community surveillance to ident...

AI-Integrated 3D imaging and modelling for hip morphology assessment in athletes.

Hip injuries are a prevalent concern among athletes, often resulting in significant declines in perf...

Study on the effect and mechanism of PM on the expression of alzheimer's-like lesions related proteins in SH-SY5Y cells.

Fine particulate matter (PM) is recognized as one of the most harmful environmental pollutants to hu...

Dual nanozyme sensor enables rapid at-home cancer surveillance.

Early detection of cancer is critical for improving patient survival rates, and current in vitro dia...

Promethazine for nausea and vomiting prevention after gynaecological laparoscopic surgery: A randomized controlled trial.

Postoperative nausea and vomiting (PONV) represent significant concerns for patients undergoing surg...

A Review of Cross-Species Transmission Mechanisms of Influenza Viruses.

The cross-species transmission of influenza viruses represents a critical link in the pandemic of zo...

Technical validation of a multiplex real-time PCR for combined detection of Rift Valley fever, chikungunya, Zika and dengue viruses.

Several arthropod-borne (arbo)-viruses have overlapping symptoms, insect vectors and geographical oc...

Role of Mobile Health and Wearable Devices in Cardiovascular Disease Prevention: A Comprehensive Review.

Cardiovascular disease (CVD) is a leading cause of death worldwide. A key area of interest in CVD pr...

Challenges on the implementation of wastewater-based epidemiology as a prediction tool: the paradigm of SARS-CoV-2.

Wastewater Based Epidemiology (WBE) has been identified as a tool for monitoring and predicting patt...

Advancing cardiovascular care through actionable AI innovation.

Despite significant advances, the prevention and management of cardiovascular disease remain challen...

Neural networks to model COVID-19 dynamics and allocate healthcare resources.

This study presents a neural network-based framework for COVID-19 transmission prediction and health...

Global burden of non-melanoma skin cancers among older adults: a comprehensive analysis using machine learning approaches.

Non-melanoma skin cancers (NMSCs), including basal cell carcinoma (BCC) and squamous cell carcinoma ...

Integrating Artificial Intelligence in Dermatological Cancer Screening and Diagnosis: Efficacy, Challenges, and Future Directions.

Skin cancer is the most common cancer in the United States, with incidence rates continuing to rise ...

Exploring Suitability of Low-Severity Rating Hospital Incident Reports for Machine Learning.

Electronic incident reporting is a key quality and a safety process for healthcare organizations tha...

The future of HIV diagnostics: an exemplar in infectious diseases.

Over the past 40 years, diagnostics have become the backbone of HIV prevention, treatment, and reten...

Using Generative Artificial Intelligence in Health Economics and Outcomes Research: A Primer on Techniques and Breakthroughs.

The emergence of generative artificial intelligence (GenAI) offers the potential to enhance health e...

A simple yet effective approach for predicting disease spread using mathematically-inspired diffusion-informed neural networks.

The COVID-19 outbreak has highlighted the importance of mathematical epidemic models like the Suscep...

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