AIMC Topic: Aged

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Comparing discriminant analysis and neural network for the determination of sex using femur head measurements.

Forensic science international
The measurement of the femoral head is usually considered an interesting variable for the sex determination of skeletal remains. To date, there are few published reference measurements of the femoral head in a modern European population for the purpo...

Robot-assisted sialolithotomy with sialendoscopy for the management of large submandibular gland stones.

The Laryngoscope
OBJECTIVES/HYPOTHESIS: The objectives of this study were to describe robot-assisted sialolithotomy with sialendoscopy (RASS) for the management of large palpable hilar submandibular gland (SMG) stones and analyze procedural success and lingual nerve ...

Combined unsupervised-supervised classification of multiparametric PET/MRI data: application to prostate cancer.

NMR in biomedicine
Multiparametric medical imaging data can be large and are often complex. Machine learning algorithms can assist in image interpretation when reliable training data exist. In most cases, however, knowledge about ground truth (e.g. histology) and thus ...

Development of a cervical cancer progress prediction tool for human papillomavirus-positive Koreans: A support vector machine-based approach.

The Journal of international medical research
OBJECTIVES: To develop a Web-based tool to draw attention to patients positive for human papillomavirus (HPV) who have a high risk of progression to cervical cancer, in order to increase compliance with follow-up examinations and facilitate good doct...

Robot-Assisted Training Early After Cardiac Surgery.

Journal of cardiac surgery
BACKGROUND: To assess feasibility and safety of a robot-assisted gait therapy with the LokomatĀ® system in patients early after open heart surgery.

In good company? Perception of movement synchrony of a non-anthropomorphic robot.

PloS one
Recent technological developments like cheap sensors and the decreasing costs of computational power have brought the possibility of robotic home companions within reach. In order to be accepted it is vital for these robots to be able to participate ...

Deep sparse multi-task learning for feature selection in Alzheimer's disease diagnosis.

Brain structure & function
Recently, neuroimaging-based Alzheimer's disease (AD) or mild cognitive impairment (MCI) diagnosis has attracted researchers in the field, due to the increasing prevalence of the diseases. Unfortunately, the unfavorable high-dimensional nature of neu...

Annotating risk factors for heart disease in clinical narratives for diabetic patients.

Journal of biomedical informatics
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on identifying risk factors for heart disease (specifically, Cardiac Artery Disease) in clinical narratives. For this track, we used a "light" annotation paradigm...

Automated extraction and labelling of the arterial tree from whole-body MRA data.

Medical image analysis
In this work, we present a fully automated algorithm for extraction of the 3D arterial tree and labelling the tree segments from whole-body magnetic resonance angiography (WB-MRA) sequences. The algorithm developed consists of two core parts (i) 3D v...