AIMC Topic: France
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Convolutional neural networks improve species distribution modelling by capturing the spatial structure of the environment.
PLoS computational biology
Apr 19, 2021
Convolutional Neural Networks (CNNs) are statistical models suited for learning complex visual patterns. In the context of Species Distribution Models (SDM) and in line with predictions of landscape ecology and island biogeography, CNN could grasp ho...
Trends in reasons for emergency calls during the COVID-19 crisis in the department of Gironde, France using artificial neural network for natural language classification.
Scandinavian journal of trauma, resuscitation and emergency medicine
Mar 31, 2021
OBJECTIVES: During periods such as the COVID-19 crisis, there is a need for responsive public health surveillance indicators in order to monitor both the epidemic growth and potential public health consequences of preventative measures such as lockdo...
A Knowledge-Based Algorithm for Automatic Monitoring of Orthodontic Treatment: The Dental Monitoring System. Two Cases.
Sensors (Basel, Switzerland)
Mar 7, 2021
BACKGROUND: In the dental field, digital technology has created new opportunities for orthodontists to integrate their clinical practice, and for patients to collect information about orthodontics and their treatment, which is called "teledentistry."...
Comparison of different machine learning approaches to predict dental age using Demirjian's staging approach.
International journal of legal medicine
Jan 7, 2021
CONTEXT: Dental age, one of the indicators of biological age, is inferred by radiological methods. Two of the most commonly used methods are using Demirjian's radiographic stages of permanent teeth excluding the third molar (Demirjian's and Willems' ...
Use of a modular ontology and a semantic annotation tool to describe the care pathway of patients with amyotrophic lateral sclerosis in a coordination network.
PloS one
Jan 6, 2021
The objective of this study was to describe the care pathway of patients with amyotrophic lateral sclerosis (ALS) based on real-life textual data from a regional coordination network, the Ile-de-France ALS network. This coordination network provides ...
Weight-bearing CT in foot and ankle pathology.
Orthopaedics & traumatology, surgery & research : OTSR
Dec 13, 2020
Cone-beam scanners (CBCT) enable CT to be performed under weight-bearing - notably for the foot and ankle. The technology is not new: it has been used since 1996 in dental surgery, where it has come to replace panoramic X-ray. What is new is placing ...
Prognostic importance of Kidney, Heart and Interstitial lung diseases (KHI triad) in PH: A machine learning study.
Archives of cardiovascular diseases
Sep 2, 2020
BACKGROUND: Pulmonary hypertension (PH) is a heterogeneous, severe and progressive disease with an impact on quality of life and life-expectancy despite specific therapies.
Machine Learning
Phenotype
Prospective Studies
Prognosis
Female
Kidney Diseases
Risk Factors
Registries
Aged
Lung Diseases, Interstitial
Humans
Data Mining
Risk Assessment
Heart Diseases
Aged, 80 and over
Comorbidity
France
Male
Health Status
Pulmonary Arterial Hypertension
Middle Aged
Cluster Analysis
Combined robotic approach and enhanced recovery after surgery pathway for optimization of costs in patients undergoing proctectomy.
BJS open
Apr 30, 2020
BACKGROUND: Enhanced recovery after surgery (ERAS) pathways are beneficial in proctocolectomy, but their impact on robotic low rectal proctectomy is not fully investigated. This study assessed the impact of an ERAS pathway on the outcomes and cost of...
Machine learning application for incident prostate adenocarcinomas automatic registration in a French regional cancer registry.
International journal of medical informatics
Apr 9, 2020
UNLABELLED: Cancer registries are collections of curated data about malignant tumor diseases. The amount of data processed by cancer registries increases every year, making manual registration more and more tedious.
Perceptions of artificial intelligence in healthcare: findings from a qualitative survey study among actors in France.
Journal of translational medicine
Jan 9, 2020
BACKGROUND: Artificial intelligence (AI), with its seemingly limitless power, holds the promise to truly revolutionize patient healthcare. However, the discourse carried out in public does not always correlate with the actual impact. Thus, we aimed t...
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