AIMC Topic: Female

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Morphological characterization of median nerve and transverse carpal ligament from ultrasound images using convolutional neural networks.

Medical engineering & physics
OBJECTIVES: The purpose of this study was to automatically segment and quantify the median nerve and carpal arch from ultrasound images using convolutional neural network (CNN).

Your turn: At home turning angle estimation for Parkinson's disease severity assessment.

Artificial intelligence in medicine
People with Parkinson's Disease (PD) often experience progressively worsening gait, including changes in how they turn around, as the disease progresses. Existing clinical rating tools are not capable of capturing hour-by-hour variations of PD sympto...

Multi-datasets transfer multitask learning for simultaneous blood glucose and blood pressure monitoring using common PPG features.

Computers in biology and medicine
The simultaneous monitoring of both blood glucose level (BGL) and blood pressure (BP) has rarely been studied directly. The exploitation of physiological interactions between them will advance the learning of either task. However, the lack of availab...

Deep learning model using CT images for longitudinal prediction of benign and malignant ground-glass nodules.

European journal of radiology
OBJECTIVES: To develop and validate a CT image-based multiple time-series deep learning model for the longitudinal prediction of benign and malignant pulmonary ground-glass nodules (GGNs).

Multimodal deep learning for predicting unsuccessful recanalization in refractory large vessel occlusion.

European journal of radiology
PURPOSE: This study explores a multi-modal deep learning approach that integrates pre-intervention neuroimaging and clinical data to predict endovascular therapy (EVT) outcomes in acute ischemic stroke patients. To this end, consecutive stroke patien...

Radiogenomic insights suggest that multiscale tumor heterogeneity is associated with interpretable radiomic features and outcomes in cancer patients.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
BACKGROUND: To develop radiogenomic subtypes and determine the relationships between radiomic phenotypes and multiomics molecular characteristics.

Machine learning to predict mitochondrial diseases by phenotypes.

Mitochondrion
Diagnosing mitochondrial diseases remains challenging because of the heterogeneous symptoms. This study aims to use machine learning to predict mitochondrial diseases from phenotypes to reduce genetic testing costs. This study included patients who u...

Evaluating the impacts of network latency, haptics, and ergonomics in a Haptically-Enabled Robot for Teleoperated Echocardiography.

Computers in biology and medicine
BACKGROUND: Access to echocardiography in remote and rural areas is limited due to a shortage of trained sonographers and the difficulties of accessing isolated regions. A Haptically-Enabled Robot for Teleoperated Echocardiography (HERTEC) was develo...

Shared and distinct neural signatures of feature and spatial attention.

NeuroImage
The debate on whether feature attention (FA) and spatial attention (SA) share a common neural mechanism remains unresolved. Previous neuroimaging studies have identified fronto-parietal-temporal attention-related regions that exhibited consistent act...

AI adoption in Chinese universities: Insights, challenges, and opportunities from academic leaders.

Acta psychologica
This study explores the perceptions, challenges, and strategies related to the integration of Artificial Intelligence (AI) in Chinese higher education from the perspective of academic leaders. Through semi-structured interviews with 20 academic leade...