Public Health & Policy

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

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A novel method for conformity assessment testing of infant incubators for post-market surveillance purposes.

BACKGROUND: Premature born infants or infants born sick require immediate medical attention and decr...

A novel method for conformity assessment testing of anaesthesia machines for post-market surveillance purposes.

BACKGROUND: Anaesthesia machines, as moderate to high-risk medical devices intended for use on patie...

A novel method for conformity assessment testing of mechanical ventilators for post-market surveillance purposes.

BACKGROUND: Mechanical ventilators are medical devices used in intensive care units when patients ar...

A novel method for conformity assessment testing of dialysis machines for post-market surveillance purposes.

BACKGROUND: Dialysis machines are used regularly in healthcare practice. They are classified as a ty...

A novel method for conformity assessment testing of infusion and perfusion pumps for post-market surveillance purposes.

BACKGROUND: Introduction of fluids, medicaments and nutrients into the human body during hospitaliza...

A novel method for conformity assessment testing of therapeutic ultrasounds for post-market surveillance purposes.

BACKGROUND: Therapeutic ultrasounds are medical devices used for treatment of conditions such muscle...

A novel method for conformity assessment testing of patient monitors for post-market surveillance purposes.

BACKGROUND: Patient monitors are medical devices used to monitor vital parameters such as heart rate...

A novel method for conformity assessment testing of defibrillators for post-market surveillance purposes.

BACKGROUND: Defibrillators are medical devices (MDs) used in the most critical situations, hence the...

A novel method for conformity assessment testing of electrocardiographs for post-market surveillance purposes.

BACKGROUND: Monitoring cardiac parameters is the fundamental aspect of every diagnostic process and ...

Population-based active screening strategy contributes to the prevention and control of tuberculosis.

Despite the achievements obtained worldwide in the control of tuberculosis in recent years, many cou...

Preventing the next pandemic: Use of artificial intelligence for epidemic monitoring and alerts.

Emerging infections are a continual threat to public health security, which can be improved by use o...

[Chest imaging-based artificial intelligence in the diagnosis of coronavirus disease 2019 and prospects for future research].

Artificial intelligence (AI) has been applied increasingly in the medical field during the past 5 ye...

[Application and prospect of digital technology on personalized precision nutrition].

Nowadays in China, digital technology is sweeping all walks of life. To deal with the increasing inc...

Challenges and opportunities for mining adverse drug reactions: perspectives from pharma, regulatory agencies, healthcare providers and consumers.

Monitoring drug safety is a central concern throughout the drug life cycle. Information about toxici...

Artificial intelligence in lung cancer: Application and future thinking.

The availability of medical big data and the rapid development of computer software and hardware hav...

[Current Situation of Robot-assisted Cardiac Surgery:Start-up and Ingenuity for Stabilizing Results].

In Japan, the medical fee revision in April 2018 allowed insurance coverage for robot-assisted cardi...

[Active Utilization of Robot-assisted Cardiac Surgery in Educational Institution].

Minimally invasive cardiac surgery( MICS) has emerged in 1990s. Nowadays, MICS via mini thoracotomy ...

[The Trend of Minimally Invasive Cardiac Surgery:Where Robot-assisted Cardiac Surgery in Japan is Now].

The trend in cardiac surgery is moving toward minimally invasive procedures worldwide. In Japan, rob...

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