AIMC Topic: Humans

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Deep Learning Algorithm for Online College Physical Education Teaching with Flipping Classroom.

Computational intelligence and neuroscience
In view of the inability to accurately analyze the application of deep learning in college physical education teaching design from the perspective of flipping classroom, this paper puts forward an improved deep learning method based on the integratio...

Analysis of Cross-Cultural Communication in English Subjects and the Realization of Deep Learning Teaching.

Computational intelligence and neuroscience
In subject teaching, subject characteristics are the logical starting point for teaching development, and a deep understanding of subject characteristics is the basis for effective teaching. In practice, due to ignoring the cross-cultural understandi...

Enhancement of Local Crowd Location and Count: Multiscale Counting Guided by Head RGB-Mask.

Computational intelligence and neuroscience
BACKGROUND: In crowded crowd images, traditional detection models often have the problems of inaccurate multiscale target count and low recall rate.

Regional medical inter-institutional cooperation in medical provider network constructed using patient claims data from Japan.

PloS one
The aging world population requires a sustainable and high-quality healthcare system. To examine the efficiency of medical cooperation, medical provider and physician networks were constructed using patient claims data. Previous studies have shown th...

Impact of Hospital Volume on Utilization of Minimally Invasive Surgery for Gastric Cancer.

The American surgeon
BACKGROUND: Minimally invasive surgery (MIS) for gastric cancer is increasingly performed. The purpose of this study is to evaluate trends in utilization of laparoscopic and robotic techniques compared to open surgery as well as utilization based on ...

Deep learning: applications in retinal and optic nerve diseases.

Clinical & experimental optometry
Deep learning (DL) represents a paradigm-shifting, burgeoning field of research with emerging clinical applications in optometry. Unlike traditional programming, which relies on human-set specific rules, DL works by exposing the algorithm to a large ...

Similar hospital profits with robotic-assisted paraesophageal hiatal hernia repair, despite higher or supply costs.

Surgical endoscopy
INTRODUCTION: Robotic-assisted laparoscopic surgery has emerged as an alternative to traditional laparoscopy and may offer some clinical benefits when performing complex hiatal hernia repairs. Many institutions may choose to not invest in robotic sur...

MSFR-Net: Multi-modality and single-modality feature recalibration network for brain tumor segmentation.

Medical physics
BACKGROUND: Accurate and automated brain tumor segmentation from multi-modality MR images plays a significant role in tumor treatment. However, the existing approaches mainly focus on the fusion of multi-modality while ignoring the correlation betwee...

Classification of Musculoskeletal Radiograph Requisition Appropriateness Using Machine Learning.

Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes
Poor quality imaging requisitions lower report quality and impede good patient care. Manual control of such requisitions is time consuming and can be a source of friction with referring physicians. The purpose of this study was to determine if poor ...