AIMC Topic: Humans

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Research on Improving the Executive Ability of University Administrators Based on Deep Learning.

Computational and mathematical methods in medicine
Over the years, experts have focused their research on ways to increase the executive capacity of university administrators. This is because only by improving the quality of execution of college and university administrative personnel can they active...

Modern Machine-Learning Predictive Models for Diagnosing Infectious Diseases.

Computational and mathematical methods in medicine
Controlling infectious diseases is a major health priority because they can spread and infect humans, thus evolving into epidemics or pandemics. Therefore, early detection of infectious diseases is a significant need, and many researchers have develo...

Motion Feature Aggregation for Video-Based Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Most video-based person re-identification (re-id) methods only focus on appearance features but neglect motion features. In fact, motion features can help to distinguish the target persons that are hard to be identified only by appearance features. H...

Use of deep learning-based radiomics to differentiate Parkinson's disease patients from normal controls: a study based on [F]FDG PET imaging.

European radiology
OBJECTIVES: We proposed a novel deep learning-based radiomics (DLR) model to diagnose Parkinson's disease (PD) based on [F]fluorodeoxyglucose (FDG) PET images.

Acquisition of robotic surgical skills does not require laparoscopic training: a randomized controlled trial.

Surgical endoscopy
BACKGROUND: Robotic surgery is a valid option for minimally invasive surgery in most surgical specialties. However, the need to master laparoscopy is questionable before starting specific training in robotic surgery. We compared the development of ba...

A deep learning model combining multimodal radiomics, clinical and imaging features for differentiating ocular adnexal lymphoma from idiopathic orbital inflammation.

European radiology
OBJECTIVES: To evaluate the value of deep learning (DL) combining multimodal radiomics and clinical and imaging features for differentiating ocular adnexal lymphoma (OAL) from idiopathic orbital inflammation (IOI).

Robot-assisted scaffold implantation and two-stage flap raising of the greater omentum for reconstruction of the facial skeleton: Description of a novel technique.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Bone regeneration in the greater omentum is a promising strategy in facial skeleton reconstruction. This feasibility-study aims to perform robot-assisted scaffold implantation and second-stage flap raising.