AIMC Topic: Finland

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Semiautomatic Assessment of Facet Tropism From Lumbar Spine MRI Using Deep Learning: A Northern Finland Birth Cohort Study.

Spine Dec 18, 2023
STUDY DESIGN: This is a retrospective, cross-sectional, population-based study that automatically measured the facet joint (FJ) angles from T2-weighted axial magnetic resonance imagings (MRIs) of the lumbar spine using deep learning (DL).
Male Deep Learning Cohort Studies Reproducibility of Results Cross-Sectional Studies Zygapophyseal Joint Finland Tropism Magnetic Resonance Imaging Lumbar Vertebrae Retrospective Studies Female Humans
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Developing a model to explain users' ethical perceptions regarding the use of care robots in home care: A cross-sectional study in Ireland, Finland, and Japan.

Archives of gerontology and geriatrics Jul 25, 2023
To date, research on ethical issues regarding care robots for older adults, family caregivers, and care workers has not progressed sufficiently. This study aimed to build a model that universally explains the relationship between the use of care robo...
Humans Aged Robotics Japan Ireland Cross-Sectional Studies Surveys and Questionnaires Finland Home Care Services
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Machine Learning Classification of Psychiatric Data Associated with Compensation Claims for Patient Injuries.

Methods of information in medicine Jul 24, 2023
BACKGROUND: Adverse events are common in health care. In psychiatric treatment, compensation claims for patient injuries appear to be less common than in other medical specialties. The most common types of patient injury claims in psychiatry include ...
Machine Learning Finland Humans Artificial Intelligence
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External Validation of SpineNet, an Open-Source Deep Learning Model for Grading Lumbar Disk Degeneration MRI Features, Using the Northern Finland Birth Cohort 1966.

Spine Dec 30, 2022
STUDY DESIGN: This is a retrospective observational study to externally validate a deep learning image classification model.
Finland Birth Cohort Deep Learning Magnetic Resonance Imaging Intervertebral Disc Degeneration Low Back Pain Lumbar Vertebrae Humans Reproducibility of Results
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Home care professionals' experiences of successful implementation, use and competence needs of robot for medication management in Finland.

Nursing open Nov 6, 2022
AIM: To describe home care professionals' individual experiences of the implementation, use and competence needs of a robot for medication management in older people's home care.
Medication Therapy Management Home Care Services Humans Robotics Qualitative Research Aged Finland
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Implementation of a new Digi-HTA process for digital health technologies in Finland.

International journal of technology assessment in health care Aug 19, 2022
OBJECTIVES: There has been a lack of health technology assessment (HTA) methods for novel digital health technologies (DHTs) such as mHealth, artificial intelligence, and robotics in Finland. The Digi-HTA method has been developed for this purpose. T...
Technology Assessment, Biomedical Humans Biomedical Technology Artificial Intelligence Research Design Finland Decision Making
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Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

PloS one Dec 16, 2021
Identifying crop loss at field parcel scale using satellite images is challenging: first, crop loss is caused by many factors during the growing season; second, reliable reference data about crop loss are lacking; third, there are many ways to define...
Satellite Imagery Crops, Agricultural Machine Learning Finland Seasons
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The introduction of care robots as a leadership challenge in home care facilities in Finland.

Nursing open Jun 10, 2021
AIMS: This paper analyses the factors that influence home care employees' intention to introduce robots.
Robotics Finland Cross-Sectional Studies Humans Home Care Services Leadership Aged
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Automatic segmentation of the pharyngeal airway space with convolutional neural network.

Journal of dentistry May 30, 2021
OBJECTIVES: This study proposed and investigated the performance of a deep learning based three-dimensional (3D) convolutional neural network (CNN) model for automatic segmentation of the pharyngeal airway space (PAS).
Humans Neural Networks, Computer Cone-Beam Computed Tomography Image Processing, Computer-Assisted Databases, Factual Finland Tomography, X-Ray Computed
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Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning.

Sensors (Basel, Switzerland) Jan 22, 2021
Early detection of grapevine viral diseases is critical for early interventions in order to prevent the disease from spreading to the entire vineyard. Hyperspectral remote sensing can potentially detect and quantify viral diseases in a nondestructive...
Finland Deep Learning Badnavirus Plant Diseases Plant Viruses Hyperspectral Imaging
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