AIMC Topic: Humans

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Deep Anatomical Context Feature Learning for Cephalometric Landmark Detection.

IEEE journal of biomedical and health informatics
In the past decade, anatomical context features have been widely used for cephalometric landmark detection and significant progress is still being made. However, most existing methods rely on handcrafted graphical models rather than incorporating ana...

Deep Matrix Factorization Improves Prediction of Human CircRNA-Disease Associations.

IEEE journal of biomedical and health informatics
In recent years, more and more evidence indicates that circular RNAs (circRNAs) with covalently closed loop play various roles in biological processes. Dysregulation and mutation of circRNAs may be implicated in diseases. Due to its stable structure ...

Disease Prediction via Graph Neural Networks.

IEEE journal of biomedical and health informatics
With the increasingly available electronic medical records (EMRs), disease prediction has recently gained immense research attention, where an accurate classifier needs to be trained to map the input prediction signals (e.g., symptoms, patient demogr...

Application of an emotional classification model in e-commerce text based on an improved transformer model.

PloS one
With the rapid development of the mobile internet, people are becoming more dependent on the internet to express their comments on products or stores; meanwhile, text sentiment classification of these comments has become a research hotspot. In existi...

Should Peritoneal Re-Approximation Be Performed After Transperitoneal Robot-Assisted Radical Prostatectomy?

Journal of laparoendoscopic & advanced surgical techniques. Part A
The aim of the study is to examine the effect of peritoneal re-approximation or non-approximation on the postoperative course of patients at the end of transperitoneal robot-assisted radical prostatectomy (tRARP). It is also aimed to examine the rel...

Minimally invasive (laparoscopic and robot-assisted) versus open approach for central pancreatectomies: a single-center experience.

Surgical endoscopy
BACKGROUND: There continues to be an interest in minimally invasive approaches to pancreatic surgery. At our institution, there has been a progressive change from an open to minimally invasive surgery (MIS) (laparoscopic, robotic, or laparoscopic-rob...

Artificial intelligence system for automatic deciduous tooth detection and numbering in panoramic radiographs.

Dento maxillo facial radiology
OBJECTIVE: This study evaluated the use of a deep-learning approach for automated detection and numbering of deciduous teeth in children as depicted on panoramic radiographs.

Accurate age classification using manual method and deep convolutional neural network based on orthopantomogram images.

International journal of legal medicine
Age estimation is an important challenge in many fields, including immigrant identification, legal requirements, and clinical treatments. Deep learning techniques have been applied for age estimation recently but lacking performance comparison betwee...