AIMC Topic: Humans

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The impact of 3D models on positive surgical margins after robot-assisted radical prostatectomy.

World journal of urology
PURPOSE: To evaluate the role of 3D models on positive surgical margin rate (PSM) rate in patients who underwent robot-assisted radical prostatectomy (RARP) compared to a no-3D control group. Secondarily, we evaluated the postoperative functional and...

Machine learning for improving high-dimensional proxy confounder adjustment in healthcare database studies: An overview of the current literature.

Pharmacoepidemiology and drug safety
PURPOSE: Supplementing investigator-specified variables with large numbers of empirically identified features that collectively serve as 'proxies' for unspecified or unmeasured factors can often improve confounding control in studies utilizing admini...

Convolutional neural network-based automatic cervical vertebral maturation classification method.

Dento maxillo facial radiology
OBJECTIVES: This study aimed to develop a fully automated artificial intelligence-aided cervical vertebral maturation (CVM) classification method based on convolutional neural networks (CNNs) to provide an auxiliary diagnosis for orthodontists.

Human Pulse Detection by a Soft Tactile Actuator.

Sensors (Basel, Switzerland)
Soft sensing technologies offer promising prospects in the fields of soft robots, wearable devices, and biomedical instruments. However, the structural design, fabrication process, and sensing algorithm design of the soft devices confront great diffi...

Advantages of deep learning with convolutional neural network in detecting disc displacement of the temporomandibular joint in magnetic resonance imaging.

Scientific reports
This study investigated the usefulness of deep learning-based automatic detection of anterior disc displacement (ADD) from magnetic resonance imaging (MRI) of patients with temporomandibular joint disorder (TMD). Sagittal MRI images of 2520 TMJs were...

Prediction of postoperative cardiac events in multiple surgical cohorts using a multimodal and integrative decision support system.

Scientific reports
Postoperative patients are at risk of life-threatening complications such as hemodynamic decompensation or arrhythmia. Automated detection of patients with such risks via a real-time clinical decision support system may provide opportunities for earl...

Fast intraoperative histology-based diagnosis of gliomas with third harmonic generation microscopy and deep learning.

Scientific reports
Management of gliomas requires an invasive treatment strategy, including extensive surgical resection. The objective of the neurosurgeon is to maximize tumor removal while preserving healthy brain tissue. However, the lack of a clear tumor boundary h...

Ftl-CoV19: A Transfer Learning Approach to Detect COVID-19.

Computational intelligence and neuroscience
COVID-19 is an infectious and contagious disease caused by the new coronavirus. The total number of cases is over 19 million and continues to grow. A common symptom noticed among COVID-19 patients is lung infection that results in breathlessness, and...

Construction of Cognitive Model of Family Education Decision-Making Based on Neural Network.

Occupational therapy international
Family's academic cognition influences the family's academic concept, rearing fashion, and academic participation. It is no longer solely associated to kid's bodily and intellectual development; however, additionally associated to household concord a...