AIMC Topic: Health Personnel
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Common pre-diagnostic features in individuals with different rare diseases represent a key for diagnostic support with computerized pattern recognition?
PloS one
Oct 10, 2019
BACKGROUND: Rare diseases (RD) result in a wide variety of clinical presentations, and this creates a significant diagnostic challenge for health care professionals. We hypothesized that there exist a set of consistent and shared phenomena among all ...
Exploring healthcare professionals' understanding and experiences of artificial intelligence technology use in the delivery of healthcare: An integrative review.
Health informatics journal
Sep 30, 2019
BACKGROUND: The integration of artificial intelligence (AI) into our digital healthcare system is seen as a significant strategy to contain Australia's rising healthcare costs, support clinical decision making, manage chronic disease burden and suppo...
We must oppose lethal autonomous weapons systems.
The British journal of general practice : the journal of the Royal College of General Practitioners
Sep 26, 2019
A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis.
The Lancet. Digital health
Sep 25, 2019
BACKGROUND: Deep learning offers considerable promise for medical diagnostics. We aimed to evaluate the diagnostic accuracy of deep learning algorithms versus health-care professionals in classifying diseases using medical imaging.
[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...
Snakebite and snake identification: empowering neglected communities and health-care providers with AI.
The Lancet. Digital health
Sep 5, 2019
A distant supervision based approach to medical persona classification.
Journal of biomedical informatics
May 11, 2019
Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilance and patient recruitment. Medical persona classification aims to computationally model the medical persona associated with a social media post. We p...
Main factors influencing recovery in MERS Co-V patients using machine learning.
Journal of infection and public health
Apr 10, 2019
BACKGROUND: Middle East Respiratory Syndrome (MERS) is a major infectious disease which has affected the Middle Eastern countries, especially the Kingdom of Saudi Arabia (KSA) since 2012. The high mortality rate associated with this disease has been ...
Adolescent
Child, Preschool
Child
Machine Learning
Bayes Theorem
Health Personnel
Multivariate Analysis
Coronavirus Infections
Humans
Middle Aged
Female
Middle East Respiratory Syndrome Coronavirus
Support Vector Machine
Infant
Young Adult
Aged
Survival
Regression Analysis
Severity of Illness Index
Adult
Saudi Arabia
Male
A two-site survey of medical center personnel's willingness to share clinical data for research: implications for reproducible health NLP research.
BMC medical informatics and decision making
Apr 4, 2019
BACKGROUND: A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes, that has breadth (from mult...
Emerging Roles of Virtual Patients in the Age of AI.
AMA journal of ethics
Feb 1, 2019
Today's web-enabled and virtual approach to medical education is different from the 20th century's Flexner-dominated approach. Now, lectures get less emphasis and more emphasis is placed on learning via early clinical exposure, standardized patients,...
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