AIMC Topic: Humans

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Prediction for Distant Metastasis of Breast Cancer Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging Images under Deep Learning.

Computational intelligence and neuroscience
This research aimed to explore the effect of using magnetic resonance imaging (MRI) radiomic features to establish a model for predicting distant metastasis under dynamic contrast-enhanced MRI imaging with deep learning algorithms. The deep learning ...

Design of Machine Learning Algorithm for Tourism Demand Prediction.

Computational and mathematical methods in medicine
Unused hotel rooms, unused event tickets, and unsold items are all examples of wasted expenses and earnings. Governments require accurate tourism demand forecasting in order to make informed decisions on topics such as infrastructure development and ...

Application of Neural Network Algorithm in Medical Artificial Intelligence Product Development.

Computational and mathematical methods in medicine
With the continuous deepening of artificial intelligence (AI) in the medical field, the social risks brought by the development and application of medical AI products have become increasingly prominent, bringing hidden worries to the protection of ci...

Radiomics and artificial intelligence in malignant uterine body cancers: Protocol for a systematic review.

PloS one
INTRODUCTION: Uterine body cancers (UBC) are represented by endometrial carcinoma (EC) and uterine sarcoma (USa). The clinical management of both is hindered by the complex classification of patients into risk classes. This problem could be simplifie...

The Role of AirSeal in Robotic Urologic Surgery: A Systematic Review.

Journal of laparoendoscopic & advanced surgical techniques. Part A
The adoption of a valveless trocar system in robotic surgery has allowed for stable pneumoperitoneum and constant smoke evacuation. The reported benefits of this system are improved visualization, lower abdominal pressures resulting in a decrease in...

Bioinspired Amphibious Origami Robot with Body Sensing for Multimodal Locomotion.

Soft robotics
Animals have long captured the inspirations of researchers in robotics with their unrivaled capabilities of multimodal locomotion on land and in water, achieved by functionally versatile limbs. Conventional soft robots show infinite degrees-of-freedo...

Automatic assessment of calcified plaque and nodule by optical coherence tomography adopting deep learning model.

The international journal of cardiovascular imaging
Optical coherence tomography (OCT) has become the best imaging tool to assess calcified plaque and nodule. However, every OCT pullback has numerous images, and artificial analysis requires too much time and energy. Thus, it is unsuitable for clinical...

Deep Learning Prediction of Survival in Patients with Chronic Obstructive Pulmonary Disease Using Chest Radiographs.

Radiology
Background Preexisting indexes for predicting the prognosis of chronic obstructive pulmonary disease (COPD) do not use radiologic information and are impractical because they involve complex history assessments or exercise tests. Purpose To develop a...

Robot-Assisted Laparoscopic Calyceo-Pyelostomy for Vascular Compression of the Upper Calyx (Fraley Syndrome).

Urology
Fraley's Syndrome is a rare anatomic vascular malformation described in 1966 where an aberrant crossing vessel compresses the upper infundibulum and leads to upper calyx massive dilation. It is mostly asymptomatic and the diagnosis often missed; howe...

Deep learning models of cognitive processes constrained by human brain connectomes.

Medical image analysis
Decoding cognitive processes from recordings of brain activity has been an active topic in neuroscience research for decades. Traditional decoding studies focused on pattern classification in specific regions of interest and averaging brain activity ...