AIMC Topic: Humans

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Using social robot PLEO to enhance the well-being of hospitalised children.

Journal of child health care : for professionals working with children in the hospital and community
Hospitalisation is stressful for children. Play material is often offered for distraction and comfort. We explored how contact with social robot PLEO could positively affect a child's well-being. To this end, we performed a multiple case study on the...

Multispectral Imaging for Automated Tissue Identification of Normal Human Surgical Specimens.

Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
OBJECTIVE: Safe surgery requires the accurate discrimination of tissue intraoperatively. We assess the feasibility of using multispectral imaging and deep learning to enhance surgical vision by automated identification of normal human head and neck t...

Identifying Goals of Care Conversations in the Electronic Health Record Using Natural Language Processing and Machine Learning.

Journal of pain and symptom management
CONTEXT: Goals-of-care discussions are an important quality metric in palliative care. However, goals-of-care discussions are often documented as free text in diverse locations. It is difficult to identify these discussions in the electronic health r...

A direct approach for function approximation on data defined manifolds.

Neural networks : the official journal of the International Neural Network Society
In much of the literature on function approximation by deep networks, the function is assumed to be defined on some known domain, such as a cube or a sphere. In practice, the data might not be dense on these domains, and therefore, the approximation ...

Learning image features with fewer labels using a semi-supervised deep convolutional network.

Neural networks : the official journal of the International Neural Network Society
Learning feature embeddings for pattern recognition is a relevant task for many applications. Deep learning methods such as convolutional neural networks can be employed for this assignment with different training strategies: leveraging pre-trained m...

Artificial intelligence in radiation oncology.

Nature reviews. Clinical oncology
Artificial intelligence (AI) has the potential to fundamentally alter the way medicine is practised. AI platforms excel in recognizing complex patterns in medical data and provide a quantitative, rather than purely qualitative, assessment of clinical...