AIMC Topic: Humans

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Study on OBE Teaching Concept in the Context of Deep Learning for the Construction of University Mathematics Microcourses.

Computational intelligence and neuroscience
Outcome-Based Education (OBE) is a goal-based educational system in which each part of education is around outcomes. By the end of the course, every student should have achieved the goal. Outcome-Based Education (OBE) involves various teaching method...

Machine learning-based classification of the movements of children with profound or severe intellectual or multiple disabilities using environment data features.

PloS one
Communication interventions have broadened from dialogical meaning-making, assessment approaches, to remote-controlled interactive objects. Yet, interpretation of the mostly pre-or protosymbolic, distinctive, and idiosyncratic movements of children w...

Robotic Transgastric Reconstruction of the Double Lumen Esophagus.

Innovations (Philadelphia, Pa.)
Double lumen esophagus is an extremely rare condition, developing in most cases as a complication of antireflux procedures or gastroesophageal reflux itself secondary to the severe inflammatory process in and around the lower esophagus. We describe a...

Totally Endoscopic Robot-Assisted Aortic Valve Replacement and Complex Mitral Valve Repair: The Lateral Approach.

Innovations (Philadelphia, Pa.)
A 76-year-old male patient was referred to our institution with moderate-to-severe aortic and mitral insufficiency. The patient underwent totally endoscopic robot-assisted aortic valve replacement and mitral valve repair. In this article, we present ...

The effectiveness of extremely low-pressure pneumoperitoneum on pain reduction after robot-assisted cholecystectomy.

Asian journal of surgery
BACKGROUND: The robot-assisted cholecystectomy could provide a sufficient surgical field with the extremely low-pressure pneumoperitoneum (ELPP; 4 mmHg) by the robot arm lifting the abdominal wall upward. This study aimed to investigate the effect of...

Added value of an artificial intelligence solution for fracture detection in the radiologist's daily trauma emergencies workflow.

Diagnostic and interventional imaging
PURPOSE: The main objective of this study was to compare radiologists' performance without and with artificial intelligence (AI) assistance for the detection of bone fractures from trauma emergencies.

Neural Network Detection of Pacemakers for MRI Safety.

Journal of digital imaging
Flagging the presence of cardiac devices such as pacemakers before an MRI scan is essential to allow appropriate safety checks. We assess the accuracy with which a machine learning model can classify the presence or absence of a pacemaker on pre-exis...

Needle path planning in semiautonomous and teleoperated robot-assisted epidural anaesthesia procedure: A proof of concept.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Epidural anaesthesia is a Percutaneous Procedure (PP) which plays a crucial role in surgical procedures, where accurate needle insertion is still challenging. The objective of this work is to present a Tuohy needle path planning, which al...

Precision forceps tracking and localisation using a Kalman filter for continuous curvilinear capsulorhexis.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Continuous curvilinear capsulorhexis (CCC) requires surgeons to manipulate fragile eye tissue at the microscale. The limited perceptual accuracy of surgeons makes it difficult to precisely position the forceps. Robot technology provides a...