Public Health & Policy

Health Policy

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

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Big Data in Ophthalmology.

Big data is the fuel of mankind's fourth industrial revolution. Coupled with new technology such as ...

Jan 2020 32739936
The Purpose of Bedside Robots: Exploring the Needs of Inpatients and Healthcare Professionals.

Robotic systems are used to support inpatients and healthcare professionals and to improve the effic...

Jan 2020 31524689
Multilevel Self-Attention Model and its Use on Medical Risk Prediction.

Various deep learning models have been developed for different healthcare predictive tasks using Ele...

Jan 2020 31797591
Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data.

Word embeddings are a popular approach to unsupervised learning of word relationships that are widel...

Jan 2020 31797605
The Ethics of Medical AI and the Physician-Patient Relationship.

This article considers recent ethical topics relating to medical AI. After a general discussion of r...

Jan 2020 31858938
On stethoscopes, patient records, artificial intelligence and zettabytes: a glimpse into the future of digital medicine in Mexico.

Science and technology are modifying medicine at a dizzying pace. Although access in our country to ...

Jan 2020 32459203
On stethoscopes, patient records, artificial intelligence, and zettabytes: A glimpse into the future of digital medicine in Mexico.

Science and technology are modifying medicine at a dizzying pace. Although access in our country to ...

Jan 2020 32897269
Medical Big Data Is Not Yet Available: Why We Need Realism Rather than Exaggeration.

Most people are now familiar with the concepts of big data, deep learning, machine learning, and art...

Dec 2019 31884734
Cost-aware active learning for named entity recognition in clinical text.

OBJECTIVE: Active Learning (AL) attempts to reduce annotation cost (ie, time) by selecting the most ...

Nov 2019 31294792
"A patient like me" - An algorithm-based program to inform patients on the likely conditions people with symptoms like theirs have.

To date, consumer health tools available over the web suffer from serious limitations that lead to l...

Oct 2019 31626135
Deep learning classification for improved bicoherence feature based on cyclic modulation and cross-correlation.

This paper aims to present an improved bicoherence spectrum (IBS) combined with cyclic modulation sp...

Oct 2019 31672017
A Business Case for Artificial Intelligence Tools: The Currency of Improved Quality and Reduced Cost.

For data science tools to mature and become integrated into routine clinical practice, they must add...

Sep 2019 31492415
[Artificial intelligence in healthcare and the transformation of healthcare professions].

By integrating artificial intelligence (AI) to their practice, healthcare professions will evolve to...

Sep 2019 31542123
Development of Deep Learning Algorithm for Detection of Colorectal Cancer in EHR Data.

We aimed to develop a deep learning model for the prediction of the risk of advanced colorectal canc...

Aug 2019 31437961
Scoring Patient Fall Reports Using Quality Rubric and Machine Learning.

Patient falls, a subcategory of patient safety events, cause further harm and anxiety to patients in...

Aug 2019 31438002
Demand Analysis and Function Design of Health Decision Support System in China.

In order to improve the level of health decision-making, based on health information resources and d...

Aug 2019 31438153
Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning.

Chronicity is a problem that is affecting quality of life and increasing healthcare costs worldwide....

Jul 2019 31946229
Combining the Power of Artificial Intelligence with the Richness of Healthcare Claims Data: Opportunities and Challenges.

Combinations of healthcare claims data with additional datasets provide large and rich sources of in...

Jun 2019 30848452
Digital transformation in healthcare - architectures of present and future information technologies.

Healthcare providers all over the world are faced with a single challenge: the need to improve patie...

Feb 2019 30530878
Legal, regulatory, and ethical frameworks for development of standards in artificial intelligence (AI) and autonomous robotic surgery.

BACKGROUND: This paper aims to move the debate forward regarding the potential for artificial intell...

Feb 2019 30397993
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