AIMC Topic: Automation

Clear Filters Showing 301 to 310 of 967 articles

Testing the reproducibility and robustness of the cancer biology literature by robot.

Journal of the Royal Society, Interface
Scientific results should not just be 'repeatable' (replicable in the same laboratory under identical conditions), but also 'reproducible' (replicable in other laboratories under similar conditions). Results should also, if possible, be 'robust' (rep...

Challenging presumed technological superiority when working with (artificial) colleagues.

Scientific reports
Technological advancements are ubiquitously supporting or even replacing humans in all areas of life, bringing the potential for human-technology symbiosis but also novel challenges. To address these challenges, we conducted three experiments in diff...

Convolutional neural network-based automatic classification for incomplete antibody reaction intensity in solid phase anti-human globulin test image.

Medical & biological engineering & computing
The precise classification of incomplete antibody reaction intensity (IARI) in hydrogel chromatography medium high density medium solid-phase Coombs test is essential for haemolytic disease screening. However, an automatic and contactless method is r...

Footprint Reduction of Sensor Control Modules for Remote Portable Laboratories.

Sensors (Basel, Switzerland)
Following the automation of monitoring systems for pollution levels in cities or protected nature reserves, there comes a need to increase the autonomy of robotic vectors deployed in the field. Thus, it is important to consider the weight that these ...

Perspectives in machine learning for wildlife conservation.

Nature communications
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology. These technologies hold great potential for large-scale ecological understanding, but are limited by current processing approaches which inefficiently distill dat...

Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol.

Systematic reviews
BACKGROUND: Systematic review is an indispensable tool for optimal evidence collection and evaluation in evidence-based medicine. However, the explosive increase of the original literatures makes it difficult to accomplish critical appraisal and regu...

Automated selection of mid-height intervertebral disc slice in traverse lumbar spine MRI using a combination of deep learning feature and machine learning classifier.

PloS one
Abnormalities and defects that can cause lumbar spinal stenosis often occur in the Intervertebral Disc (IVD) of the patient's lumbar spine. Their automatic detection and classification require an application of an image analysis algorithm on suitable...

Augmented Humanity: A Systematic Mapping Review.

Sensors (Basel, Switzerland)
Augmented humanity (AH) is a term that has been mentioned in several research papers. However, these papers differ in their definitions of AH. The number of publications dealing with the topic of AH is represented by a growing number of publications ...

Automated segmentation of articular disc of the temporomandibular joint on magnetic resonance images using deep learning.

Scientific reports
Temporomandibular disorders are typically accompanied by a number of clinical manifestations that involve pain and dysfunction of the masticatory muscles and temporomandibular joint. The most important subgroup of articular abnormalities in patients ...

Automated food intake tracking requires depth-refined semantic segmentation to rectify visual-volume discordance in long-term care homes.

Scientific reports
Malnutrition is a multidomain problem affecting 54% of older adults in long-term care (LTC). Monitoring nutritional intake in LTC is laborious and subjective, limiting clinical inference capabilities. Recent advances in automatic image-based food est...