AIMC Topic: Humans

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Robotic infant surgery with 3 mm instruments: a study in piglets of less than 10 kg body weight.

Journal of robotic surgery
No data exist concerning the appication of a new robotic system with 3 mm instruments (Senhance®, Transenterix) in infants and small children. Therefore, the aim of this study was to test the system for its feasibility, performance and safety of robo...

A comparison of surgical outcomes among robotic cases performed with an employed surgical assist versus a second surgeon as the assist.

Journal of robotic surgery
To examine whether utilizing an employed surgical first assistant or a physician as an assistant during gynecologic robotic cases affects surgical variables. A high volume gynecologic oncologist's robotic case data spanning fourteen years (2005-2018)...

Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyle.

Dento maxillo facial radiology
OBJECTIVE: The present study aimed to verify the classification performance of deep learning (DL) models for diagnosing fractures of the mandibular condyle on panoramic radiographs using data sets from two hospitals and to compare their internal and ...

Deep joint learning for language recognition.

Neural networks : the official journal of the International Neural Network Society
Deep learning methods for language recognition have achieved promising performance. However, most of the studies focus on frameworks for single types of acoustic features and single tasks. In this paper, we propose the deep joint learning strategies ...

Predicting postoperative opioid use with machine learning and insurance claims in opioid-naïve patients.

American journal of surgery
BACKGROUND: The clinical impact of postoperative opioid use requires accurate prediction strategies to identify at-risk patients. We utilize preoperative claims data to predict postoperative opioid refill and new persistent use in opioid-naïve patien...

A statistical framework for non-negative matrix factorization based on generalized dual divergence.

Neural networks : the official journal of the International Neural Network Society
A statistical framework for non-negative matrix factorization based on generalized dual Kullback-Leibler divergence, which includes members of the exponential family of models, is proposed. A family of algorithms is developed using this framework, in...

PyDiNet: Pyramid Dilated Network for medical image segmentation.

Neural networks : the official journal of the International Neural Network Society
Medical image segmentation is an important step in many generic applications such as population analysis and, more accessible, can be made into a crucial tool in diagnosis and treatment planning. Previous approaches are based on two main architecture...

Supervised machine learning-based prediction for in-hospital pressure injury development using electronic health records: A retrospective observational cohort study in a university hospital in Japan.

International journal of nursing studies
BACKGROUND: In hospitals, nurses are responsible for pressure injury risk assessment using several kinds of risk assessment scales. However, their predictive validity is insufficient to initiate targeted preventive strategy for each patient. The use ...

Are Surgeons Working Smarter or Harder? A Systematic Review Comparing the Physical and Mental Demands of Robotic and Laparoscopic or Open Surgery.

World journal of surgery
BACKGROUND: Minimally invasive surgical techniques such as robotic surgical platforms have provided favourable outcomes for patients, but the impact on surgeons is not well described. This systematic review aims to synthesize and evaluate the physica...