Public Health & Policy

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

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Showing 2164-2184 of 8,074 articles
Detection of Asymptomatic Carotid Artery Stenosis in High-Risk Individuals of Stroke Using a Machine-Learning Algorithm.

Objective Asymptomatic carotid stenosis (ACS) is closely associated to the incidence of severe cereb...

[Application of artificial intelligence in prevention and control of COVID-19 in Guangzhou city].

Since the outbreak of COVID-19, it has spread rapidly throughout the country and even in the world. ...

AI technology for remote clinical assessment and monitoring.

OBJECTIVE: To report the clinical validation of an innovative, artificial intelligence (AI)-powered,...

[Launching Robot-Assisted Laparoscopic Surgery for Rectal Cancer in Our Hospital-Short-Term Results].

Robot-assisted laparoscopic surgery(RALS)for rectal cancer has been covered by National Health Insur...

Artificial Intelligence and Hypertension: Recent Advances and Future Outlook.

Prevention and treatment of hypertension (HTN) are a challenging public health problem. Recent evide...

Artificial intelligence in the diagnosis, treatment and prevention of urinary stones.

PURPOSE OF REVIEW: There has a been rapid progress in the use of artificial intelligence in all aspe...

Patient Coded Severity and Payment Penalties Under the Hospital Readmissions Reduction Program: A Machine Learning Approach.

OBJECTIVE: The objective of this study was to examine variation in hospital responses to the Centers...

Concerns for management of STEMI patients in the COVID-19 era: a paradox phenomenon.

The pandemic of coronavirus disease 2019 (COVID-19) has become a public health emergency of internat...

[Simple Methods to Prevent Postoperative Inguinal Hernia after Extraperitoneal and Transperitoneal Robot-Assisted Radical Prostatectomy].

Herein we present simple methods to prevent postoperative inguinal hernia (IH) after extraperitoneal...

Machine intelligence for early targeted precision management and response to outbreaks of respiratory infections.

OBJECTIVES: To evaluate the utility of machine learning (ML) for the management of Medicare benefici...

Portable Automated Surveillance of Surgical Site Infections Using Natural Language Processing: Development and Validation.

OBJECTIVES: We present the development and validation of a portable NLP approach for automated surve...

Keeping the "Human in the Loop" in the Age of Artificial Intelligence : Accompanying Commentary for "Correcting the Brain?" by Rainey and Erden.

The benefits of Artificial Intelligence (AI) in medicine are unquestionable and it is unlikely that ...

Enhancing Quality of Patients Care and Improving Patient Experience in China with Assistance of Artificial Intelligence.

Improving health of Chinese people has become national strategy according to the . Patient experienc...

COVID-19 and the epistemology of epidemiological models at the dawn of AI.

The models used to estimate disease transmission, susceptibility and severity determine what epidemi...

Artificial intelligence technology for diagnosing COVID-19 cases: a review of substantial issues.

Today, the world suffers from the rapid spread of COVID-19, which has claimed thousands of lives. Un...

Machine Learning for Work Disability Prevention: Introduction to the Special Series.

Rapid development in computer technology has led to sophisticated methods of analyzing large dataset...

Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a ...

A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT.

Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine a...

Use of Machine Learning and Artificial Intelligence to Drive Personalized Medicine Approaches for Spine Care.

Personalized medicine is a new paradigm of healthcare in which interventions are based on individual...

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