AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Clinical Competence

Showing 271 to 280 of 578 articles

Clear Filters

Nurse preferences of caring robots: A conjoint experiment to explore most valued robot features.

Nursing open
AIM: Due to the COVID pandemic and technological innovation, robots gain increasing role in nursing services. While studies investigated negative attitudes of nurses towards robots, we lack an understanding of nurses' preferences about robot characte...

Improving Robotic Skills by Video Review.

Journal of endourology
Since the transition of surgical robot systems into the medical field, physicians have had to develop new dexterity skills. The ideal learning environment for robotic surgery has yet to be discovered. Virtual reality (VR) simulation is a possible sa...

Value of robotic surgery simulation for training surgical residents and attendings: a systematic review protocol.

BMJ open
INTRODUCTION: Robotic surgery is a method of minimally invasive surgery performed through small incisions using a remote robotic console. Surgical residents and attendings participate in simulation training to be able to effectively perform robotic s...

Acquisition of robotic surgical skills does not require laparoscopic training: a randomized controlled trial.

Surgical endoscopy
BACKGROUND: Robotic surgery is a valid option for minimally invasive surgery in most surgical specialties. However, the need to master laparoscopy is questionable before starting specific training in robotic surgery. We compared the development of ba...

The current status of robotic colorectal surgery training programmes.

Journal of robotic surgery
Robotic-assisted colorectal surgery (RACS) is steadily increasing in popularity with an annual growth in the number of colorectal procedures undertaken robotically. Further upscaling of RACS requires structured and standardised robotic training to sa...

Expertise in perception during robotic surgery (ExPeRtS): What we see and what we say.

American journal of surgery
BACKGROUND: Given the challenges of teaching in robotic operating rooms, we sought to investigate the language of perceptual expertise used by robotic surgeons, in an effort to improve current approaches to robotic training.

Enhancing robotic efficiency through the eyes of robotic surgeons: sub-analysis of the expertise in perception during robotic surgery (ExPeRtS) study.

Surgical endoscopy
BACKGROUND: Robotic technology affords surgeons many novel and useful features, but two stereotypes continue to prevail: robotic surgery is expensive and inefficient. To identify educational opportunities and improve operative efficiency, we analyzed...

Expert surgeons and deep learning models can predict the outcome of surgical hemorrhage from 1 min of video.

Scientific reports
Major vascular injury resulting in uncontrolled bleeding is a catastrophic and often fatal complication of minimally invasive surgery. At the outset of these events, surgeons do not know how much blood will be lost or whether they will successfully c...

Advancing Surgical Education: The Use of Artificial Intelligence in Surgical Training.

The American surgeon
The technology of artificial intelligence (AI) has made significant in-roads into the field of medicine over the last decade. With surgery being a discipline where repetition is the key to mastery, the scope of AI presents enormous potential for resi...

Tele-assessment of bandwidth limitation for remote robotics surgery.

Surgery today
PURPOSE: We investigated the communication bandwidth (CB) limitation for remote robotics surgery (RRS) using hinotoriā„¢ (Medicaroid, Kobe, Japan).