AIMC Topic: Switzerland
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Unsupervised learning of Swiss population spatial distribution.
PloS one
Feb 11, 2021
The paper deals with the analysis of spatial distribution of Swiss population using fractal concepts and unsupervised learning algorithms. The research methodology is based on the development of a high dimensional feature space by calculating local g...
First-in-man application of a cold ablation robot guided laser osteotome in midface osteotomies.
Journal of cranio-maxillo-facial surgery : official publication of the European Association for Cranio-Maxillo-Facial Surgery
Jan 17, 2021
The aim of the study was to assess the clinical applicability of robot guided laser osteotomy for clinical application. This is the initial report on 14 consecutive patients requiring an orthognathic procedure with a midface osteotomy (no restriction...
[Digital transformation in residential old age institutions].
Zeitschrift fur Gerontologie und Geriatrie
Oct 1, 2020
BACKGROUND: Residential old age institutions are currently undergoing a digital transformation process, which is characterized by an orientation towards increasing digitalization of work processes as well as the institutional infrastructure. But what...
Factors and predictors of length of stay in offenders diagnosed with schizophrenia - a machine-learning-based approach.
BMC psychiatry
May 6, 2020
BACKGROUND: Prolonged forensic psychiatric hospitalizations have raised ethical, economic, and clinical concerns. Due to the confounded nature of factors affecting length of stay of psychiatric offender patients, prior research has called for the app...
Random forest machine learning algorithm predicts virologic outcomes among HIV infected adults in Lausanne, Switzerland using electronically monitored combined antiretroviral treatment adherence.
AIDS care
Apr 8, 2020
Machine Learning (ML) can improve the analysis of complex and interrelated factors that place adherent people at risk of viral rebound. Our aim was to build ML model to predict RNA viral rebound from medication adherence and clinical data. Patients w...
A survey on the future of radiology among radiologists, medical students and surgeons: Students and surgeons tend to be more skeptical about artificial intelligence and radiologists may fear that other disciplines take over.
European journal of radiology
Nov 9, 2019
PURPOSE: To evaluate the opinion and assessment of radiologists, surgeons and medical students on a number of important topics regarding the future of radiology, such as artificial intelligence (AI), turf battles, teleradiology and 3D-printing.
Determination of mammographic breast density using a deep convolutional neural network.
The British journal of radiology
Oct 1, 2018
OBJECTIVE: High breast density is a risk factor for breast cancer. The aim of this study was to develop a deep convolutional neural network (dCNN) for the automatic classification of breast density based on the mammographic appearance of the tissue a...
Prioritising references for systematic reviews with RobotAnalyst: A user study.
Research synthesis methods
Jul 30, 2018
Screening references is a time-consuming step necessary for systematic reviews and guideline development. Previous studies have shown that human effort can be reduced by using machine learning software to prioritise large reference collections such t...
Classification of breast cancer in ultrasound imaging using a generic deep learning analysis software: a pilot study.
The British journal of radiology
Jan 10, 2018
OBJECTIVE: To train a generic deep learning software (DLS) to classify breast cancer on ultrasound images and to compare its performance to human readers with variable breast imaging experience.
Virtual reality to augment robot-assisted gait training in non-ambulatory patients with a subacute stroke: a pilot randomized controlled trial.
European journal of physical and rehabilitation medicine
Dec 21, 2017
BACKGROUND: Active performance is crucial for motor learning, and, together with motivation, is believed to be associated with a better rehabilitation outcome. Virtual reality (VR) is an innovative approach to engage and motivate patients during trai...
Stroke Rehabilitation
Gait Disorders, Neurologic
Rehabilitation Centers
Stroke
Activities of Daily Living
Physical Therapy Modalities
Virtual Reality
Robotics
Male
Humans
Time Factors
Disability Evaluation
Middle Aged
Female
Treatment Outcome
Single-Blind Method
Risk Assessment
Follow-Up Studies
Aged
Switzerland
Pilot Projects
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