AIMC Topic: Family
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Prediction of dose to the relatives of patients treated with radioiodine-131 using neural networks.
Journal of radiological protection : official journal of the Society for Radiological Protection
Nov 20, 2017
In this study, the effective dose received by the family members and caregivers of 52 thyroid cancer patients, who had been treated with radioiodine I-131, was measured to investigate the ability of the neural network to predict the doses to the rela...
Individualized prediction of psychosis in subjects with an at-risk mental state.
Schizophrenia research
Sep 19, 2017
Early intervention strategies in psychosis would significantly benefit from the identification of reliable prognostic biomarkers. Pattern classification methods have shown the feasibility of an early diagnosis of psychosis onset both in clinical and ...
Sharable and Individual Multi-View Metric Learning.
IEEE transactions on pattern analysis and machine intelligence
Sep 7, 2017
This paper presents a sharable and individual multi-view metric learning (MvML) approach for visual recognition. Unlike conventional metric leaning methods which learn a distance metric on either a single type of feature representation or a concatena...
Discriminative Deep Metric Learning for Face and Kinship Verification.
IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Jun 20, 2017
This paper presents a new discriminative deep metric learning (DDML) method for face and kinship verification in wild conditions. While metric learning has achieved reasonably good performance in face and kinship verification, most existing metric le...
Using short-range and long-range functional connectivity to identify schizophrenia with a family-based case-control design.
Psychiatry research. Neuroimaging
Apr 24, 2017
Abnormal short-range and long-range functional connectivities (FCs) have been implicated in the neurophysiology of schizophrenia. This study was conducted to examine the potential of short-range and long-range FCs for differentiating the patients fro...
Towards person-centered neuroimaging markers for resilience and vulnerability in Bipolar Disorder.
NeuroImage
Sep 10, 2016
Improved clinical care for Bipolar Disorder (BD) relies on the identification of diagnostic markers that can reliably detect disease-related signals in clinically heterogeneous populations. At the very least, diagnostic markers should be able to diff...
Needs of bereaved families of patients with cancer towards artificial intelligence in palliative care: A web-based survey.
European journal of oncology nursing : the official journal of European Oncology Nursing Society
Jun 1, 2025
PURPOSE: Artificial intelligence (AI) systems in palliative care have garnered attention and popularity in recent years. Understanding patient and family needs is crucial for developing and implementing AI systems in palliative care. Few studies in p...
Using a Robot to Address the Well-Being, Social Isolation, and Loneliness of Care Home Residents via Video Calls: Qualitative Feasibility Study.
JMIR formative research
May 8, 2025
BACKGROUND: About 40,000 people are living in Norwegian care homes, where a majority are living with a dementia diagnosis. Social isolation and loneliness are common issues affecting care home residents' quality of life. Due to visitation restriction...
Acceptance of Telepresence Robotics, Telecare and Teletherapy Among Stroke Patients, Relatives and Therapy Staff.
Studies in health technology and informatics
Apr 26, 2024
BACKGROUND: Stroke as a cause of disability in adulthood causes an increasing demand for therapy and care services, including telecare and teletherapy.
[Application of convolutional neural networks for the classification of metaphase chromosomes].
Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics
Mar 10, 2024
OBJECTIVE: To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.
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