AIMC Topic: Humans

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Explicability of artificial intelligence in radiology: Is a fifth bioethical principle conceptually necessary?

Bioethics
Recent years have witnessed intensive efforts to specify which requirements ethical artificial intelligence (AI) must meet. General guidelines for ethical AI consider a varying number of principles important. A frequent novel element in these guideli...

Outcomes of robot-assisted urinary sphincter implantation for male neurogenic urinary incontinence.

BJU international
OBJECTIVES: To report the functional outcomes of robot-assisted laparoscopic artificial urinary sphincter implantation (R-AUS) in men with neurogenic stress urinary incontinence (SUI).

Initial Experience with Robotic Inguinal Hernia Repair in the Adolescent Population.

Journal of laparoendoscopic & advanced surgical techniques. Part A
There is no one standard procedure encompassing the needs and differences of the entire pediatric population for inguinal hernia repair (IHR). Several techniques can be used, including open repair, laparoscopic, and robotic-assisted laparoscopic rep...

Machine Learning, Deep Learning, and Closed Loop Devices-Anesthesia Delivery.

Anesthesiology clinics
With the tremendous volume of data captured during surgeries and procedures, critical care, and pain management, the field of anesthesiology is uniquely suited for the application of machine learning, neural networks, and closed loop technologies. In...

Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI.

International journal of computer assisted radiology and surgery
PURPOSE: Brain Magnetic Resonance Images (MRIs) are essential for the diagnosis of neurological diseases. Recently, deep learning methods for unsupervised anomaly detection (UAD) have been proposed for the analysis of brain MRI. These methods rely on...

[MRI-guided minimally invasive treatment of prostate cancer].

Der Radiologe
CLINICAL/METHODOLOGICAL ISSUE: Multiparametric magnetic resonance imaging (mpMRI) of the prostate plays a crucial role in the diagnosis and local staging of primary prostate cancer.

Deep learning in magnetic resonance image reconstruction.

Journal of medical imaging and radiation oncology
Magnetic resonance (MR) imaging visualises soft tissue contrast in exquisite detail without harmful ionising radiation. In this work, we provide a state-of-the-art review on the use of deep learning in MR image reconstruction from different image acq...

A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-Weighted MRI Using Convolutional Neural Networks.

Journal of digital imaging
Data augmentation refers to a group of techniques whose goal is to battle limited amount of available data to improve model generalization and push sample distribution toward the true distribution. While different augmentation strategies and their co...

AI in drug development: a multidisciplinary perspective.

Molecular diversity
The introduction of a new drug to the commercial market follows a complex and long process that typically spans over several years and entails large monetary costs due to a high attrition rate. Because of this, there is an urgent need to improve this...