AIMC Topic: Humans

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From Big Data's 5Vs to clinical practice's 5Ws: enhancing data-driven decision making in healthcare.

Journal of clinical monitoring and computing
The use of AI-based algorithms is rapidly growing in healthcare, but there is still an ongoing debate about how to manage and ensure accountability for their clinical use. While most of the studies focus on demonstrating a good algorithm performance ...

Portable deep-learning decoder for motor imaginary EEG signals based on a novel compact convolutional neural network incorporating spatial-attention mechanism.

Medical & biological engineering & computing
Due to high computational requirements, deep-learning decoders for motor imaginary (MI) electroencephalography (EEG) signals are usually implemented on bulky and heavy computing devices that are inconvenient for physical actions. To date, the applica...

Growing pains: strategies for improving ergonomics in minimally invasive gynecologic surgery.

Current opinion in obstetrics & gynecology
PURPOSE OF REVIEW: To evaluate factors contributing to the development of work-related musculoskeletal disorders (WMSDs) and review strategies for mitigating ergonomic strain in minimally invasive gynecologic surgery.

MutBLESS: A tool to identify disease-prone sites in cancer using deep learning.

Biochimica et biophysica acta. Molecular basis of disease
Understanding the molecular basis and impact of mutations at different stages of cancer are long-standing challenges in cancer biology. Identification of driver mutations from experiments is expensive and time intensive. In the present study, we coll...

A systematic review of video-based educational interventions in robotic surgical training.

Journal of robotic surgery
As robotic surgical procedures become more prevalent in practice, there is a demand for effective and efficient educational strategies in robotic surgery. Video has been used in open and laparoscopic surgery to instruct trainees in the acquisition of...

Comparison of postoperative urinary continence and incontinence types between conventional and Retzius-sparing robot-assisted radical prostatectomy.

Neurourology and urodynamics
AIMS: This study aimed to investigate the postoperative urinary continence rate and incontinence types compared over time between conventional robot-assisted radical prostatectomy (C-RARP) and Retzius-sparing RARP (RS-RARP).

Leveraging artificial intelligence and decision support systems in hospital-acquired pressure injuries prediction: A comprehensive review.

Artificial intelligence in medicine
BACKGROUND: Hospital-acquired pressure injuries (HAPIs) constitute a significant challenge harming thousands of people worldwide yearly. While various tools and methods are used to identify pressure injuries, artificial intelligence (AI) and decision...