Public Health & Policy

[Tips for Successful Robot-assisted Mitral Valve Repair].

Robot-assisted valve repair refers to an intervention added to conventional minimally invasive cardi...

[Robot-assisted Cardiac Surgery Council and Current Status and Future Prospect of Robotic Mitral Valve Surgery in Japan].

The Robot-assisted Cardiac Surgery Council (RACSC) was established in 2015, and consists of the memb...

Conception, Development and Validation of Classification Methods for Coding Support of Rare Diseases Using Artificial Intelligence.

Automated coding of diseases can support hospitals in the billing of inpatient cases with the health...

The Pitfalls of Using Open Data to Develop Deep Learning Solutions for COVID-19 Detection in Chest X-Rays.

Since the emergence of COVID-19, deep learning models have been developed to identify COVID-19 from ...

Deep Learning for Cancer Symptoms Monitoring on the Basis of Electronic Health Record Unstructured Clinical Notes.

PURPOSE: Symptoms are vital outcomes for cancer clinical trials, observational research, and populat...

Machine learning paves the way toward the prevention of mental health crises.

Survival prediction model for right-censored data based on improved composite quantile regression neural network.

With the development of the field of survival analysis, statistical inference of right-censored data...

deepHPI: a comprehensive deep learning platform for accurate prediction and visualization of host-pathogen protein-protein interactions.

Host-pathogen protein interactions (HPPIs) play vital roles in many biological processes and are dir...

Machine Learning Approach to Facilitate Knowledge Synthesis at the Intersection of Liver Cancer, Epidemiology, and Health Disparities Research.

PURPOSE: Liver cancer is a global challenge, and disparities exist across multiple domains and throu...

Fighting against sudden cardiac death: need for a paradigm shift-Adding near-term prevention and pre-emptive action to long-term prevention.

More than 40 years after the first implantable cardioverter-defibrillator (ICD) implantation, sudden...

Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations.

The promise of highly personalized oncology care using artificial intelligence (AI) technologies has...

CapsNet-COVID19: Lung CT image classification method based on CapsNet model.

The outbreak of the Corona Virus Disease 2019 (COVID-19) has posed a serious threat to human health ...

Surveillance of few-mode fiber-communication channels with a single hidden layer neural network.

Multi- and few-mode fibers (FMFs) promise to enhance the capacity of optical communication networks ...

Translating promise into practice: a review of machine learning in suicide research and prevention.

In ever more pressured health-care systems, technological solutions offering scalability of care and...

A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2.

The outbreak of COVID-19 caused by SARS-coronavirus (CoV)-2 has made millions of deaths since 2019. ...

Impact of computational approaches in the fight against COVID-19: an AI guided review of 17 000 studies.

SARS-CoV-2 caused the first severe pandemic of the digital era. Computational approaches have been u...

Contribution of Artificial Intelligence in Pregnancy: A Scoping Review.

For the past ten years, the healthcare sector and industry has witnessed a surge in Artificial Intel...

A Deep Learning Program to Predict Acute Kidney Injury.

Acute kidney injury is a dangerous and sometime fatal clinical situation, which can cause irreversib...

Towards gender equity in artificial intelligence and machine learning applications in dermatology.

There has been increased excitement around the use of machine learning (ML) and artificial intellige...

[Next-generation diagnostic pathology].

With the technological progresses and applications of human genome sequencing, bioinformatics analys...

Maximum Accuracy Machine Learning Statistical Analysis-A Novel Approach.

Logistic regression is a statistical tool of paramount significance in the field of epidemiology and...