AIMC Topic: Finland

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Machine Learning Classification of Psychiatric Data Associated with Compensation Claims for Patient Injuries.

Methods of information in medicine
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 ...

Home care professionals' experiences of successful implementation, use and competence needs of robot for medication management in Finland.

Nursing open
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.

Implementation of a new Digi-HTA process for digital health technologies in Finland.

International journal of technology assessment in health care
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...

Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

PloS one
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...

The introduction of care robots as a leadership challenge in home care facilities in Finland.

Nursing open
AIMS: This paper analyses the factors that influence home care employees' intention to introduce robots.

Automatic segmentation of the pharyngeal airway space with convolutional neural network.

Journal of dentistry
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).

Early Detection of Plant Viral Disease Using Hyperspectral Imaging and Deep Learning.

Sensors (Basel, Switzerland)
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...

Impacts of a Care Robotics Project on Finnish Home Care Workers' Attitudes towards Robots.

International journal of environmental research and public health
Technological advances in elderly care have been rapid, and the introduction of robots in care will be a topical issue in the near future. There has been little research into the possibility of influencing care workers' attitudes towards robots by pr...

Machine Learning-Based DNA Methylation Score for Fetal Exposure to Maternal Smoking: Development and Validation in Samples Collected from Adolescents and Adults.

Environmental health perspectives
BACKGROUND: Fetal exposure to maternal smoking during pregnancy is associated with the development of noncommunicable diseases in the offspring. Maternal smoking may induce such long-term effects through persistent changes in the DNA methylome, which...