AI Medical Compendium Topic

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Task Performance and Analysis

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Task model-specific operator skill assessment in routine fetal ultrasound scanning.

International journal of computer assisted radiology and surgery
PURPOSE: For highly operator-dependent ultrasound scanning, skill assessment approaches evaluate operator competence given available data, such as acquired images and tracked probe movement. Operator skill level can be quantified by the completeness,...

Structural plasticity driven by task performance leads to criticality signatures in neuromorphic oscillator networks.

Scientific reports
Oscillator networks rapidly become one of the promising vehicles for energy-efficient computing due to their intrinsic parallelism of execution. The criticality property of the oscillator-based networks is regarded to be essential for performing comp...

Bayesian Disturbance Injection: Robust imitation learning of flexible policies for robot manipulation.

Neural networks : the official journal of the International Neural Network Society
Humans demonstrate a variety of interesting behavioral characteristics when performing tasks, such as selecting between seemingly equivalent optimal actions, performing recovery actions when deviating from the optimal trajectory, or moderating action...

Robotic Platform for Horticulture: Assessment Methodology and Increasing the Level of Autonomy.

Sensors (Basel, Switzerland)
The relevance of the study is confirmed by the rapid development of automation in agriculture, in particular, horticulture; the lack of methodological developments to assess the effectiveness of the introduction of robotic technologies; and the need ...

An Adaptive Human-Robotic Interaction Architecture for Augmenting Surgery Performance Using Real-Time Workload Sensing-Demonstration of a Semi-autonomous Suction Tool.

Human factors
OBJECTIVE: This study developed and evaluated a mental workload-based adaptive automation (MWL-AA) that monitors surgeon cognitive load and assist during cognitively demanding tasks and assists surgeons in robotic-assisted surgery (RAS).

Deep learning-based harmonization of CT reconstruction kernels towards improved clinical task performance.

European radiology
OBJECTIVES: To develop a deep learning-based harmonization framework, assessing whether it can improve performance of radiomics models given different kernels in different clinical tasks and additionally generalize to mitigate the effects of new/unob...

Adaptative damping assistance in bimanual laparoscopic surgery.

International journal of computer assisted radiology and surgery
PURPOSE: Laparoscopic surgery has demonstrated various advantages for the patients' care, but also presents some difficulties for the surgeons, such as kinematic restrictions. Robotic comanipulation, in which control of instruments is shared between ...

Effects of automated skill assessment on robotic surgery training.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Several automated skill-assessment approaches have been proposed for robotic surgery, but their utility is not well understood. This article investigates the effects of one machine-learning-based skill-assessment approach on psychomotor s...

Relating process and outcome metrics for meaningful and interpretable cannulation skill assessment: A machine learning paradigm.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVES: The quality of healthcare delivery depends directly on the skills of clinicians. For patients on hemodialysis, medical errors or injuries caused during cannulation can lead to adverse outcomes, including potential death. To...

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...