AIMC Topic: Female

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Evaluation of an Artificial Intelligence Model for Detection of Pneumothorax and Tension Pneumothorax in Chest Radiographs.

JAMA network open
IMPORTANCE: Early detection of pneumothorax, most often via chest radiography, can help determine need for emergent clinical intervention. The ability to accurately detect and rapidly triage pneumothorax with an artificial intelligence (AI) model cou...

Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series.

International journal of environmental research and public health
Tree-based machine learning methods have gained traction in the statistical and data science fields. They have been shown to provide better solutions to various research questions than traditional analysis approaches. To encourage the uptake of tree-...

Hot for Robots! Sexual Arousal Increases Willingness to Have Sex with Robots.

Journal of sex research
Robots designed to elicit sexual arousal are coming. Sexual arousal can increase our willingness to engage in risky or unconventional sexual behaviors. However, researchers have yet to examine whether this effect extends to robots. Hence, this study ...

Application of Digital Imaging and Artificial Intelligence to Pathology of the Placenta.

Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society
Digital imaging, including the use of artificial intelligence, has been increasingly applied to investigate the placenta and its related pathology. However, there has been no comprehensive review of this body of work to date. The aim of this study wa...

Case Study: Improving the Quality of Dairy Cow Reconstruction with a Deep Learning-Based Framework.

Sensors (Basel, Switzerland)
Three-dimensional point cloud generation systems from scanning data of a moving camera provide extra information about an object in addition to color. They give access to various prospective study fields for researchers. With applications in animal h...

Aortic Distensibility Measured by Automated Analysis of Magnetic Resonance Imaging Predicts Adverse Cardiovascular Events in UK Biobank.

Journal of the American Heart Association
Background Automated analysis of cardiovascular magnetic resonance images provides the potential to assess aortic distensibility in large populations. The aim of this study was to compare the prediction of cardiovascular events by automated cardiovas...

Deep learning prediction of stroke thrombus red blood cell content from multiparametric MRI.

Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences
BACKGROUND AND PURPOSE: Thrombus red blood cell (RBC) content has been shown to be a significant factor influencing the efficacy of acute ischemic stroke treatment. In this study, our objective was to evaluate the ability of convolutional neural netw...

Surgeon experience, robotic perioperative outcomes, and complications in gynecology.

Revista da Associacao Medica Brasileira (1992)
OBJECTIVE: Robotic surgery is currently on the rise and has been widely applied all over the world. Gynecology offers great opportunities for the development of innovative techniques due to the magnitude of surgical needs. The aim of this study was t...

Robot-assisted laparoscopic repair of cesarean scar defect: a systematic review of clinical evidence.

Journal of robotic surgery
We aim to assess the available evidence concerning the robot-assisted repair of cesarean scar defect. A systematic PubMed and Scopus search was conducted. All databases were assessed up to May 23, 2022. Studies reporting data on robot-assisted repair...

Artificial intelligence to understand fluctuation of fetal brain activity by recognizing facial expressions.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
OBJECTIVE: To examine whether artificial intelligence can achieve discoveries regarding fetal brain activity.