AIMC Topic: Humans

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Surgical Science-Simbionix Robotic Hysterectomy Simulator: Validating a New Tool.

Journal of minimally invasive gynecology
STUDY OBJECTIVE: To gather validity evidence for and determine acceptability of Surgical Science-Simbionix Hysterectomy Modules for the DaVinci Xi console simulation system (software; 3D Systems by Simbionix [now Surgical Science-Simbionix], Littleto...

A data-driven deep learning pipeline for quantitative susceptibility mapping (QSM).

Magnetic resonance imaging
PURPOSE: This study developed a data-driven optimization to improve the accuracy of deep learning QSM quantification.

FastSurferVINN: Building resolution-independence into deep learning segmentation methods-A solution for HighRes brain MRI.

NeuroImage
Leading neuroimaging studies have pushed 3T MRI acquisition resolutions below 1.0 mm for improved structure definition and morphometry. Yet, only few, time-intensive automated image analysis pipelines have been validated for high-resolution (HiRes) s...

Quantitative features to assist in the diagnostic assessment of chronic lymphocytic leukemia progression.

The Journal of pathology
The use of artificial intelligence methods in the image-based diagnostic assessment of hematological diseases is a growing trend in recent years. In these methods, the selection of quantitative features that describe cytological characteristics plays...

Assessment of the da Vinci Single Port Robotic Platform on Cholecystectomy in Adolescents.

Journal of laparoendoscopic & advanced surgical techniques. Part A
The new da Vinci single port (SP) robotic platform has great appeal for pediatric surgery. To assess its efficacy and identify potential challenges, 7 adolescents underwent SP cholecystectomy. The surgeon controls three fully wristed elbowed instru...

Multi-Task Learning With Coarse Priors for Robust Part-Aware Person Re-Identification.

IEEE transactions on pattern analysis and machine intelligence
Part-level representations are important for robust person re-identification (ReID), but in practice feature quality suffers due to the body part misalignment problem. In this paper, we present a robust, compact, and easy-to-use method called the Mul...

Semantic Object Accuracy for Generative Text-to-Image Synthesis.

IEEE transactions on pattern analysis and machine intelligence
Generative adversarial networks conditioned on textual image descriptions are capable of generating realistic-looking images. However, current methods still struggle to generate images based on complex image captions from a heterogeneous domain. Furt...

A Transfer-Learning-Based Deep Convolutional Neural Network for Predicting Leukemia-Related Phosphorylation Sites from Protein Primary Sequences.

International journal of molecular sciences
As one of the most important post-translational modifications (PTMs), phosphorylation refers to the binding of a phosphate group with amino acid residues like Ser (S), Thr (T) and Tyr (Y) thus resulting in diverse functions at the molecular level. Ab...

Implementation of Sequence-Based Classification Methods for Motion Assessment and Recognition in a Traditional Chinese Sport (Baduanjin).

International journal of environmental research and public health
This study aimed to assess the motion accuracy of Baduanjin and recognise the motions of Baduanjin based on sequence-based methods. Motion data of Baduanjin were measured by the inertial sensor measurement system (IMU). Fifty-four participants were r...

Quantitative Evaluation System of Upper Limb Motor Function of Stroke Patients Based on Desktop Rehabilitation Robot.

Sensors (Basel, Switzerland)
Rehabilitation training and movement evaluation after stroke have become a research hotspot as stroke has become a very common and harmful disease. However, traditional rehabilitation training and evaluation are mainly conducted under the guidance of...