AIMC Topic: Workload

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Use of artificial intelligence in triaging of chest radiographs to reduce radiologists' workload.

European radiology
OBJECTIVES: To evaluate whether deep learning-based detection algorithms (DLD)-based triaging can reduce outpatient chest radiograph interpretation workload while maintaining noninferior sensitivity.

Improving chest X-ray report generation by leveraging warm starting.

Artificial intelligence in medicine
Automatically generating a report from a patient's Chest X-rays (CXRs) is a promising solution to reducing clinical workload and improving patient care. However, current CXR report generators-which are predominantly encoder-to-decoder models-lack the...

Human-Robot Interaction in Agriculture: A Systematic Review.

Sensors (Basel, Switzerland)
In the pursuit of optimizing the efficiency, flexibility, and adaptability of agricultural practices, human-robot interaction (HRI) has emerged in agriculture. Enabled by the ongoing advancement in information and communication technologies, this app...

Residents perform better technically, have less stress and workload, and prefer robotic to laparoscopic technique during inanimate simulation.

Surgical endoscopy
INTRODUCTION: With the widespread adoption of minimally invasive surgery, there is a growing need for surgical residents to be trained by a procedure-specific curriculum. This study aimed to evaluate the technical performance and feedback of surgical...

A comparison of the psychological effects of robot motion in physical and virtual environments.

Applied ergonomics
A mixed-methods approach was used to assess the fidelity of virtual environments as ergonomic assessment tools for human-robot interaction. Participants performed a visual search task in the physical environment while a nearby collaborative robot rep...

Usefulness of machine learning softwares to screen titles of systematic reviews: a methodological study.

Systematic reviews
OBJECTIVE: To investigate the usefulness and performance metrics of three freely-available softwares (Rayyan®, Abstrackr® and Colandr®) for title screening in systematic reviews.

Current practises and the future of robotic surgical training.

The surgeon : journal of the Royal Colleges of Surgeons of Edinburgh and Ireland
INTRODUCTION: This study reviews the current state of robotic surgery training for surgeons, including the various curricula, training methods, and tools available, as well as the challenges and limitations of these.

[Artificial intelligence: An introduction for clinicians].

Revue des maladies respiratoires
Artificial intelligence (AI) is a growing field that has the potential to transform many areas of society, including healthcare. For a physician, it is important to understand the basics of AI and its potential applications in medicine. AI refers to ...

Raw Electroencephalogram-Based Cognitive Workload Classification Using Directed and Nondirected Functional Connectivity Analysis and Deep Learning.

Big data
With the phenomenal rise in internet-of-things devices, the use of electroencephalogram (EEG) based brain-computer interfaces (BCIs) can empower individuals to control equipment with thoughts. These allow BCI to be used and pave the way for pro-activ...