AIMC Topic: Humans

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The robot doesn't lie: real-life validation of robotic performance metrics.

Surgical endoscopy
BACKGROUND: Degree of resident participation in a case is often used as a surrogate marker for operative autonomy, an essential element of surgical resident training. Previous studies have demonstrated a considerable disagreement between the percepti...

A multi-module soft robotic arm with soft actuator for minimally invasive surgery.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Compared to traditional rigid robotic arms, soft robotic arms are flexible, environmentally adaptable and biocompatible. Recently, most minimally invasive cardiac procedures still rely on traditional rigid surgical tools. However, rigid t...

Advancing molecular graphs with descriptors for the prediction of chemical reaction yields.

Journal of computational chemistry
Chemical yield is the percentage of the reactants converted to the desired products. Chemists use predictive algorithms to select high-yielding reactions and score synthesis routes, saving time and reagents. This study suggests a novel graph neural n...

An explainable deep learning framework for characterizing and interpreting human brain states.

Medical image analysis
Deep learning approaches have been widely adopted in the medical image analysis field. However, a most of existing deep learning approaches focus on achieving promising performances such as classification, detection, and segmentation, and much less e...

The effect of Gaussian noise on pneumonia detection on chest radiographs, using convolutional neural networks.

Radiography (London, England : 1995)
INTRODUCTION: Chest X-rays (CXR) with under-exposure increase image noise and this may affect convolutional neural network (CNN) performance. This study aimed to train and validate CNNs for classifying pneumonia on CXR as normal or pneumonia acquired...

Automated detection of smiles as discrete episodes.

Journal of oral rehabilitation
BACKGROUND: Patients seeking restorative and orthodontic treatment expect an improvement in their smiles and oral health-related quality of life. Nonetheless, the qualitative and quantitative characteristics of dynamic smiles are yet to be understood...

Applying interpretable machine learning workflow to evaluate exposure-response relationships for large-molecule oncology drugs.

CPT: pharmacometrics & systems pharmacology
The application of logistic regression (LR) and Cox Proportional Hazard (CoxPH) models are well-established for evaluating exposure-response (E-R) relationship in large molecule oncology drugs. However, applying machine learning (ML) models on evalua...

Artificial intelligence for automated evaluation of aortic measurements in 2D echocardiography: Feasibility, accuracy, and reproducibility.

Echocardiography (Mount Kisco, N.Y.)
AIMS: This study sought to examine the feasibility, accuracy and reproducibility of a novel, fully automated 2D transthoracic echocardiography (2D TTE) parasternal long axis (PLAX) view aortic measurements quantification software compared to board-ce...