AIMC Topic: Access to Information
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[E-health and "Cancer outside the hospital walls", Big Data and artificial intelligence].
Bulletin du cancer
Sep 19, 2019
To heal otherwise in oncology has become an imperative of Public Health and an economic imperative in France. Patients can therefore receive live most of their care outside of hospital with more ambulatory care. This ambulatory shift will benefit fro...
Open access image repositories: high-quality data to enable machine learning research.
Clinical radiology
Apr 28, 2019
Originally motivated by the need for research reproducibility and data reuse, large-scale, open access information repositories have become key resources for training and testing of advanced machine learning applications in biomedical and clinical re...
An open access medical knowledge base for community driven diagnostic decision support system development.
BMC medical informatics and decision making
Apr 27, 2019
INTRODUCTION: While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will remain an important component ...
How Sustainable are Biomedical Ontologies?
AMIA ... Annual Symposium proceedings. AMIA Symposium
Dec 5, 2018
BioPortal is widely regarded to be the world's most comprehensive repository of biomedical ontologies. With a coverage of many biomedical subfields by 716 ontologies (June 27, 2018), BioPortal is an extremely diverse repository. BioPortal maintains e...
CaSTLe - Classification of single cells by transfer learning: Harnessing the power of publicly available single cell RNA sequencing experiments to annotate new experiments.
PloS one
Oct 10, 2018
Single-cell RNA sequencing (scRNA-seq) is an emerging technology for profiling the gene expression of thousands of cells at the single cell resolution. Currently, the labeling of cells in an scRNA-seq dataset is performed by manually characterizing c...
Digital Diabetes Data and Artificial Intelligence: A Time for Humility Not Hubris.
Journal of diabetes science and technology
Sep 5, 2018
In the future artificial intelligence (AI) will have the potential to improve outcomes diabetes care. With the creation of new sensors for physiological monitoring sensors and the introduction of smart insulin pens, novel data relationships based on ...
Healthcare Disparities
Access to Information
Ethnicity
Data Collection
Computational Biology
Diabetes Mellitus, Type 1
Decision Making
Racial Groups
Language
Reproducibility of Results
Public Health
Big Data
Decision Support Systems, Clinical
Humans
Diabetes Mellitus, Type 2
Artificial Intelligence
Genotype
Phenotype
Precision Medicine
Artificial Intelligence and Radiology: A Social Media Perspective.
Current problems in diagnostic radiology
Jul 23, 2018
OBJECTIVE: To use Twitter to characterize public perspectives regarding artificial intelligence (AI) and radiology.
The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program.
Journal of the American College of Radiology : JACR
Feb 21, 2018
PURPOSE: Advances in artificial intelligence applied to diagnostic radiology are predicted to have a major impact on this medical specialty. With the goal of establishing a baseline upon which to build educational activities on this topic, a survey w...
Perceptions of the use of intelligent information access systems in university level active learning activities among teachers of biomedical subjects.
International journal of medical informatics
Dec 23, 2017
BACKGROUND: Student participation and the use of active methodologies in classroom learning are being increasingly emphasized. The use of intelligent systems can be of great help when designing and developing these types of activities. Recently, emer...
From passive passenger to participating co-pilot - Pregnant women's expectations of being able to access their online journal from antenatal care.
Sexual & reproductive healthcare : official journal of the Swedish Association of Midwives
Nov 28, 2017
OBJECTIVE: The aim of the study was to describe pregnant women's expectations of being able to access their electronic health records from antenatal care.
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