AIMC Topic: Humans

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Usefulness of Machine Learning-Based Detection and Classification of Cardiac Arrhythmias With 12-Lead Electrocardiograms.

The Canadian journal of cardiology
BACKGROUND: Deep-learning algorithms to annotate electrocardiograms (ECGs) and classify different types of cardiac arrhythmias with the use of a single-lead ECG input data set have been developed. It remains to be determined whether these algorithms ...

Climacturia after robot-assisted laparoscopic radical prostatectomy.

Revista internacional de andrologia
INTRODUCTION: Adverse effects in the sexual sphere are common in patients who have undergone radical prostatectomy (RP). Climacturia, involuntary loss of urine during orgasm, occurs in 20-40% of cases after PR. We analyse its prevalence and associate...

One model to rule them all? Using machine learning algorithms to determine the number of factors in exploratory factor analysis.

Psychological methods
Determining the number of factors is one of the most crucial decisions a researcher has to face when conducting an exploratory factor analysis. As no common factor retention criterion can be seen as generally superior, a new approach is proposed-comb...

Adaptive and Compressive Beamforming Using Deep Learning for Medical Ultrasound.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control
In ultrasound (US) imaging, various types of adaptive beamforming techniques have been investigated to improve the resolution and the contrast-to-noise ratio of the delay and sum (DAS) beamformers. Unfortunately, the performance of these adaptive bea...

A review of methods for achieving upper limb movement following spinal cord injury through hybrid muscle stimulation and robotic assistance.

Experimental neurology
Individuals with tetraplegia, typically attributed to spinal cord injuries (SCI) at the cervical level, experience significant health care costs and loss of independence due to their limited reaching and grasping capabilities. Neuromuscular electrica...

Artificial intelligence and convolution neural networks assessing mammographic images: a narrative literature review.

Journal of medical radiation sciences
Studies have shown that the use of artificial intelligence can reduce errors in medical image assessment. The diagnosis of breast cancer is an essential task; however, diagnosis can include 'detection' and 'interpretation' errors. Studies to reduce t...

A review of recent advancements in soft and flexible robots for medical applications.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Soft and flexible robots for medical applications are needed to change their flexibility over a wide range to perform tasks adequately. The mechanism and theory of flexibility has been a scientific issue and is of interest to the communit...

Postanesthesia care unit delirium following robot-assisted vs open retropubic radical prostatectomy: A prospective observational study.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: The aim of this study was to compare the incidence of early postoperative delirium in the postanesthesia care unit (PACU) between robot-assisted radical prostatectomy (RARP) in the extreme Trendelenburg position and open retropubic radica...

Transoral robotic narrow field oropharyngectomy for tumours of the parapharyngeal space.

The international journal of medical robotics + computer assisted surgery : MRCAS
The advent of transoral robotic surgery (TORS) has allowed transoral approaches for parapharyngeal space (PPS) tumours to be re-evaluated. It provides enhanced visualisation and instrument access for appropriate tumours. We describe a specific techni...

Explainable AI meets persuasiveness: Translating reasoning results into behavioral change advice.

Artificial intelligence in medicine
Explainable AI aims at building intelligent systems that are able to provide a clear, and human understandable, justification of their decisions. This holds for both rule-based and data-driven methods. In management of chronic diseases, the users of ...