AIMC Topic: Humans

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Policy gradient optimization of controllers for natural dynamic mono-pedal gait.

Bioinspiration & biomimetics
We have previously suggested a biologically-inspired natural dynamic controller for biped locomotion, which applies torque pulses to the different joints at particular phases of an internal phase variable. The parameters of the controller, including ...

Ratchet-integrated pneumatic actuator (RIPA): a large-stroke soft linear actuator inspired by sarcomere muscle contraction.

Bioinspiration & biomimetics
Pneumatic artificial muscles (PAMs) have a wide range of robotics applications, especially in soft robots, for their ability to generate linear force and displacement with the soft, lightweight, compact, and safe characteristics as well as high power...

Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture.

Medical hypotheses
Brain tumor is one of the dangerous and deadly cancer types seen in adults and children. Early and accurate diagnosis of brain tumor is important for the treatment process. It is an important step for specialists to detect the brain tumor using compu...

Stable gene selection by self-representation method in fuzzy sample classification.

Medical & biological engineering & computing
In recent years, microarray technology and gene expression profiles have been widely used to detect, predict, or classify the samples of various diseases. The presence of large genes in these profiles and the small number of samples are known challen...

Ethics of Using and Sharing Clinical Imaging Data for Artificial Intelligence: A Proposed Framework.

Radiology
In this article, the authors propose an ethical framework for using and sharing clinical data for the development of artificial intelligence (AI) applications. The philosophical premise is as follows: when clinical data are used to provide care, the ...

Three-Dimensional Convolutional Neural Network for Prostate MRI Segmentation and Comparison of Prostate Volume Measurements by Use of Artificial Neural Network and Ellipsoid Formula.

AJR. American journal of roentgenology
The purposes of this study were to assess the performance of a 3D convolutional neural network (CNN) for automatic segmentation of prostates on MR images and to compare the volume estimates from the 3D CNN with those of the ellipsoid formula. The s...

Optimizing the Financial Burden of the Approach to Robot-Assisted Radical Prostatectomy.

Journal of endourology
The robot-assisted approach to radical prostatectomy (RARP) has been adopted worldwide as an acceptable alternative to open prostatectomy owing to improved visualization and dexterity for surgeons, with improved recovery and convalescence for patien...

Stillbirth risk prediction using machine learning for a large cohort of births from Western Australia, 1980-2015.

Scientific reports
Quantification of stillbirth risk has potential to support clinical decision-making. Studies that have attempted to quantify stillbirth risk have been hampered by small event rates, a limited range of predictors that typically exclude obstetric histo...