AIMC Topic: Humans

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Validity of robotic simulation for high-stakes examination: a pilot study.

Journal of robotic surgery
Simulation is increasingly being used to train surgeons and access technical competency in robotic skills. The construct validity of using simulation performance for high-stakes examinations such as credentialing has not been studied appropriately. T...

Potential for optimizing the perioperative care in robotic prostatectomy patients by adoption of enhanced recovery after surgery principles.

Journal of robotic surgery
Several benefits have been reported after applying the principles of enhanced recovery after surgery (ERAS) into the perioperative care of patients undergoing robot-assisted radical prostatectomy (RARP). Nevertheless, there are still barriers. We aim...

Biased accuracy in multisite machine-learning studies due to incomplete removal of the effects of the site.

Psychiatry research. Neuroimaging
Brain MRI researchers conducting multisite studies, such as within the ENIGMA Consortium, are very aware of the importance of controlling the effects of the site (EoS) in the statistical analysis. Conversely, authors of the novel machine-learning MRI...

The Physiological Deep Learner: First application of multitask deep learning to predict hypotension in critically ill patients.

Artificial intelligence in medicine
Critical care clinicians are trained to analyze simultaneously multiple physiological parameters to predict critical conditions such as hemodynamic instability. We developed the Multi-task Learning Physiological Deep Learner (MTL-PDL), a deep learnin...

A digital highway for data fluidity and data equity in precision medicine.

Biochimica et biophysica acta. Reviews on cancer
Recent technological advances continue to expand the universe of big data in biomedicine along the four axes of variety, veracity, volume, and velocity, fueling innovations in research and discovery while transforming care delivery. These advances al...

An initial experience with a novel technique of single-port robotic resection for rectal cancer.

Techniques in coloproctology
BACKGROUND: The da Vinci single-port (SP) system is designed to facilitate single-incision robotic surgery in a narrow space. We developed a new procedure of rectal resection using this system. The aim of the present study was to evaluate the technic...

State of the art robotic distal pancreatectomy: a review of the literature.

Updates in surgery
Minimally invasive distal pancreatectomy has become increasingly used in practice. While laparoscopic approach is the most commonly used technique, robotic distal pancreatectomy (RDP) has emerged as a safe, feasible and effective approach for distal ...

Trust in Artificial Intelligence: Meta-Analytic Findings.

Human factors
OBJECTIVE: The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of...

Robot-mediated interventions for teaching children with ASD: A new intraverbal skill.

Assistive technology : the official journal of RESNA
Socially assistive robots (SAR) have the potential to impact therapies for Autism Spectrum Disorder (ASD) by supporting clinicians in increasing learning opportunities presented to individuals. Recent research on robot-mediated intervention (RMI) del...