AIMC Topic: Humans

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Insights into urinary incontinence after robot-assisted radical prostatectomy: urgent urinary incontinence or stress urinary incontinence.

World journal of urology
PURPOSE: Urinary incontinence is a common complication following robot-assisted radical prostatectomy (RARP). Few studies have explored the relationships and differences between stress urinary incontinence (SUI) and urgent urinary incontinence (UUI) ...

Performance of deep learning models for response evaluation on whole-body bone scans in prostate cancer.

Annals of nuclear medicine
OBJECTIVE: We aimed to develop deep learning classifiers for assessing therapeutic response on bone scans of patients with prostate cancer.

An interpretable ensemble learning model facilitates early risk stratification of ischemic stroke in intensive care unit: Development and external validation of ICU-ISPM.

Computers in biology and medicine
Ischemic stroke (IS) is a common and severe condition that requires intensive care unit (ICU) admission, with high mortality and variable prognosis. Accurate and reliable predictive tools that enable early risk stratification can facilitate intervent...

Direct deep learning-based survival prediction from pre-interventional CT prior to transcatheter aortic valve replacement.

European journal of radiology
PURPOSE: To investigate survival prediction in patients undergoing transcatheter aortic valve replacement (TAVR) using deep learning (DL) methods applied directly to pre-interventional CT images and to compare performance with survival models based o...

[ChatGPT: aid to medical ethics decision making?].

Innere Medizin (Heidelberg, Germany)
BACKGROUND: Physicians have to make countless decisions every day. The medical, ethical and legal aspects are often intertwined and subject to change over time. Involving an ethics committee or arranging an ethical consultation are examples of potent...

HeapMS: An Automatic Peak-Picking Pipeline for Targeted Proteomic Data Powered by 2D Heatmap Transformation and Convolutional Neural Networks.

Analytical chemistry
The process of peak picking and quality assessment for multiple reaction monitoring (MRM) data demands significant human effort, especially for signals with low abundance and high interference. Although multiple peak-picking software packages are ava...

Toward self-contained bidirectional bionic limbs with high information throughput.

Science robotics
Surgical neural engineering and human-machine interfacing enable bionic limbs with dexterous control and sensory feedback.

A highly integrated bionic hand with neural control and feedback for use in daily life.

Science robotics
Restoration of sensorimotor function after amputation has remained challenging because of the lack of human-machine interfaces that provide reliable control, feedback, and attachment. Here, we present the clinical implementation of a transradial neur...

A Machine-Learning-Based Approach to Prediction of Biogeographic Ancestry within Europe.

International journal of molecular sciences
Data obtained with the use of massive parallel sequencing (MPS) can be valuable in population genetics studies. In particular, such data harbor the potential for distinguishing samples from different populations, especially from those coming from adj...

A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke.

Journal of neuroengineering and rehabilitation
BACKGROUND: A key motor skill is the ability to rapidly interact with our dynamic environment. Humans can generate goal-directed motor actions in response to sensory stimulus within ~ 60-200ms. This ability can be impaired after stroke, but most clin...