AIMC Topic: Humans

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Artificial Intelligence in radiotherapy: state of the art and future directions.

Medical oncology (Northwood, London, England)
Recent advances in computing capability allowed the development of sophisticated predictive models to assess complex relationships within observational data, described as Artificial Intelligence. Medicine is one of the several fields of application a...

Segmentation of finger tendon and synovial sheath in ultrasound image using deep convolutional neural network.

Biomedical engineering online
BACKGROUND: Trigger finger is a common hand disease, which is caused by a mismatch in diameter between the tendon and the pulley. Ultrasound images are typically used to diagnose this disease, which are also used to guide surgical treatment. However,...

Classifying heterogeneous presentations of PTSD via the default mode, central executive, and salience networks with machine learning.

NeuroImage. Clinical
Intrinsic connectivity networks (ICNs), including the default mode network (DMN), the central executive network (CEN), and the salience network (SN) have been shown to be aberrant in patients with posttraumatic stress disorder (PTSD). The purpose of ...

Propensity score adjustment using machine learning classification algorithms to control selection bias in online surveys.

PloS one
Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose cha...

Recognition, collaboration and community: science fiction representations of robot carers in , and .

Medical humanities
In the 2010s, a small number of science fiction films and television series exploring the theme of the robot carer and how humans respond to them were released. This paper explores three works in this regard: the films (dir. Jake Schreier, USA 2012)...

Phase portraits as movement primitives for fast humanoid robot control.

Neural networks : the official journal of the International Neural Network Society
Currently, usual approaches for fast robot control are largely reliant on solving online optimal control problems. Such methods are known to be computationally intensive and sensitive to model accuracy. On the other hand, animals plan complex motor a...

AI for reading screening mammograms: the need for circumspection.

European radiology
• The studies on AI reading of screening mammograms have methodological limitations that undermine the conclusion that AI could do better than radiologists. • These studies do not informon numbers of extra breast cancers found by AI that could repres...