AIMC Topic: Humans

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Analysis of the Relationship between Transformational Leadership and Educational Management in Higher Education Based on Deep Learning.

Computational intelligence and neuroscience
Leadership behavior has been emphasized as one of the most important influencing factors in the innovation process. Leaders can encourage subordinates to innovate by creating the right environment, promoting knowledge integration, and setting specifi...

MP-Net: Deep learning-based segmentation for fluorescence microscopy images of microplastics isolated from clams.

PloS one
Environmental monitoring of microplastics (MP) contamination has become an area of great research interest, given potential hazards associated with human ingestion of MP. In this context, determination of MP concentration is essential. However, cheap...

Deep learning for behaviour classification in a preclinical brain injury model.

PloS one
The early detection of traumatic brain injuries can directly impact the prognosis and survival of patients. Preceding attempts to automate the detection and the assessment of the severity of traumatic brain injury continue to be based on clinical dia...

Promoting activity in long-term care facilities with the social robot Pepper: a pilot study.

Informatics for health & social care
About 40 000 individuals depend on assisted living in long-term care facilities in Norway. Around 80% of these have a cognitive impairment or suffer from dementia. This actualizes the need for activities that are tailored to individual needs. For som...

Comparison of robot-assisted sleeve gastrectomy outcomes in multiple staple line treatment modalities from 2015 to 2019: a 5-year propensity score-adjusted MBSAQIP® analysis.

Surgical endoscopy
BACKGROUND: Robot-assisted sleeve gastrectomy (RSG) is an increasingly common approach to sleeve gastrectomy (SG). Staple line reinforcement (SLR) is well-discussed in laparoscopic SG literature, but not RSG- likely due to the absence of dedicated ro...

Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations.

Radiology
Background A deep learning (DL) model to identify lung cancer screening candidates based on their chest radiographs requires external validation with a recent real-world non-U.S. sample. Purpose To validate the DL model and identify added benefits to...

Improved Productivity Using Deep Learning-assisted Reporting for Lumbar Spine MRI.

Radiology
Background Lumbar spine MRI studies are widely used for back pain assessment. Interpretation involves grading lumbar spinal stenosis, which is repetitive and time consuming. Deep learning (DL) could provide faster and more consistent interpretation. ...

Robot-Assisted Deep Brain Stimulation: High Accuracy and Streamlined Workflow.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND: A number of stereotactic platforms are available for performing deep brain stimulation (DBS) lead implantation. Robot-assisted stereotaxy has emerged more recently demonstrating comparable accuracy and shorter operating room times compare...