AIMC Topic: Humans

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Assistive Robots for Healthcare and Human-Robot Interaction.

Sensors (Basel, Switzerland)
Assistive robots are still mostly prototypes that only remotely recall human interactive dynamics [...].

Artificial Intelligence-Assisted Meta-Analysis of the Frequency of ACE I/D Polymorphisms in Centenarians and Other Long-Lived Individuals.

International journal of molecular sciences
Current research on the angiotensin-converting-enzyme () gene has yielded controversial results on whether different polymorphisms are linked with human longevity. polymorphisms are a risk factor for Alzheimer's disease and age-onset diseases that ...

Coaching Robots for Older Seniors: Do They Get What They Expect? Insights from an Austrian Study.

International journal of environmental research and public health
To support the increasing number of older people, new (assistive) technologies are constantly being developed. For these technologies to be used successfully, future users need to be trained. Due to demographic change, this will become difficult in t...

Pediatric age estimation from thoracic and abdominal CT scout views using deep learning.

Scientific reports
Age assessment is regularly used in clinical routine by pediatric endocrinologists to determine the physical development or maturity of children and adolescents. Our study investigates whether age assessment can be performed using CT scout views from...

Multi-centre deep learning for placenta segmentation in obstetric ultrasound with multi-observer and cross-country generalization.

Scientific reports
The placenta is crucial to fetal well-being and it plays a significant role in the pathogenesis of hypertensive pregnancy disorders. Moreover, a timely diagnosis of placenta previa may save lives. Ultrasound is the primary imaging modality in pregnan...

Deep learning-based multifeature integration robustly predicts central lymph node metastasis in papillary thyroid cancer.

BMC cancer
BACKGROUND: Few highly accurate tests can diagnose central lymph node metastasis (CLNM) of papillary thyroid cancer (PTC). Genetic sequencing of tumor tissue has allowed the targeting of certain genetic variants for personalized cancer therapy develo...

Unsupervised learning reveals interpretable latent representations for translucency perception.

PLoS computational biology
Humans constantly assess the appearance of materials to plan actions, such as stepping on icy roads without slipping. Visual inference of materials is important but challenging because a given material can appear dramatically different in various sce...

Automatic Segmentation and Classification for Antinuclear Antibody Images Based on Deep Learning.

Computational intelligence and neuroscience
Antinuclear antibodies (ANAs) testing is the main serological diagnosis screening test for autoimmune diseases. ANAs testing is conducted principally by the indirect immunofluorescence (IIF) on human epithelial cell-substrate (HEp-2) protocol. Howeve...

A robot is watching me!: Five-year-old children care about their reputation after interaction with a social robot.

Child development
Since robots are becoming involved in children's lives, it is urgent to determine how children perceive robots. The present study assessed whether Japanese 5-year-olds care about their reputation when interacting with a social robot. Children were gi...

Multimodal convolutional neural networks based on the Raman spectra of serum and clinical features for the early diagnosis of prostate cancer.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
We collected surface-enhanced Raman spectroscopy (SERS) data from the serum of 729 patients with prostate cancer or benign prostatic hyperplasia (BPH), corresponding to their pathological results, and built an artificial intelligence-assisted diagnos...