Public Health & Policy

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

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Current update on the neurological manifestations of long COVID: more questions than answers.

Since the outbreak of the COVID-19 pandemic, there has been a global surge in patients presenting wi...

Physicians' ethical concerns about artificial intelligence in medicine: a qualitative study: .

BACKGROUND/AIM: Artificial Intelligence (AI) is the capability of computational systems to perform t...

The translation of in-house imaging AI research into a medical device ensuring ethical and regulatory integrity.

This manuscript delineates the pathway from in-house research on Artificial Intelligence (AI) to the...

SERS-AI Based Detection and Bioanalysis of Malodorous Components in Kitchen Waste.

The prevention and control of odor gas generated from kitchen waste are significant missions in rese...

Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Patient monitors case study.

BackgroundHealthcare institutions throughout the world rely on medical devices to provide their serv...

Advancement of post-market surveillance of medical devices leveraging artificial intelligence: Infusion pumps case study.

BackgroundAnalysis of data from incident registries such as MAUDE has identified the need to improve...

BalancerGNN: Balancer Graph Neural Networks for imbalanced datasets: A case study on fraud detection.

Fraud detection for imbalanced datasets is challenging due to machine learning models inclination to...

Machine learning based predictive modeling and risk factors for prolonged SARS-CoV-2 shedding.

BACKGROUND: The global outbreak of the coronavirus disease 2019 (COVID-19) has been enormously damag...

Assessment of non-fatal injuries among university students in Hainan: a machine learning approach to exploring key factors.

BACKGROUND: Injuries constitute a significant global public health concern, particularly among indiv...

Artificial intelligence-driven intelligent learning models for identification and prediction of cardioneurological disorders: A comprehensive study.

The integration of Artificial Intelligence (AI) and Intelligent Learning Models (ILMs) in healthcare...

Machine learning-based prediction model for brain metastasis in patients with extensive-stage small cell lung cancer.

Brain metastases (BMs) in extensive-stage small cell lung cancer (ES-SCLC) are often associated with...

Explainable Deep Learning Approaches for Risk Screening of Periodontitis.

Several pieces of evidence have been reported regarding the association between periodontitis and sy...

Advancing clinical MRI exams with artificial intelligence: Japan's contributions and future prospects.

In this narrative review, we review the applications of artificial intelligence (AI) into clinical m...

Optimizing automated compliance checking with ontology-enhanced natural language processing: Case in the fire safety domain.

The fire safety compliance checking (FSCC) plays a crucial role in ensuring the quality of fire engi...

Role of artificial intelligence in early diagnosis and treatment of infectious diseases.

Infectious diseases remain a global health challenge, necessitating innovative approaches for their ...

A Systematic Review and Meta-Analysis of the Efficacy of Biosecurity in Disease Prevention and Control in Livestock Farms in Africa.

In Africa, livestock production plays a crucial role for sustainable food security and economic grow...

Comparative analysis of volatility forecasting for healthcare stock indices amid public health crises: a study based on the Bayes-CNN model.

In recent years, public health events have significantly impacted various aspects of human productio...

A comprehensive study on tuberculosis prediction models: Integrating machine learning into epidemiological analysis.

Tuberculosis (TB), the second leading infectious killer globally, claimed the lives of 1.3 million i...

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