AIMC Topic: Humans

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Robot-Assisted Totally Endoscopic Mitral Valve Plasty and Coronary Artery Bypass Grafting.

The Annals of thoracic surgery
We experienced 3 cases of port-access robot-assisted totally endoscopic technique for mitral valve repair and concomitant coronary artery bypass. The right internal mammary artery was harvested, mitral valve was fixed, and the right internal mammary ...

Joint optic disk and cup segmentation for glaucoma screening using a region-based deep learning network.

Eye (London, England)
OBJECTIVES: To develop and validate an end-to-end region-based deep convolutional neural network (R-DCNN) to jointly segment the optic disc (OD) and optic cup (OC) in retinal fundus images for precise cup-to-disc ratio (CDR) measurement and glaucoma ...

Deep learning-based fully automated body composition analysis of thigh CT: comparison with DXA measurement.

European radiology
OBJECTIVES: To compare volumetric CT with DL-based fully automated segmentation and dual-energy X-ray absorptiometry (DXA) in the measurement of thigh tissue composition.

Application and potential of artificial intelligence in neonatal medicine.

Seminars in fetal & neonatal medicine
Neonatal care is becoming increasingly complex with large amounts of rich, routinely recorded physiological, diagnostic and outcome data. Artificial intelligence (AI) has the potential to harness this vast quantity and range of information and become...

Simulation and Artificial Intelligence in Rhinoplasty: A Systematic Review.

Aesthetic plastic surgery
BACKGROUND: Rhinoplasty is one of the most popular cosmetic procedures. The complexity of the nasal structure and the substantial aesthetic and functional impact of the operation make rhinoplasty very challenging. The past few years have witnessed an...

Automatic hemorrhage segmentation on head CT scan for traumatic brain injury using 3D deep learning model.

Computers in biology and medicine
The most common cause of long-term disability and death in young adults is a traumatic brain injury. The decision for surgical intervention for craniotomy is dependent on the injury type and the patient's neurologic exam. The potential subtypes of in...

Automated estimation of total lung volume using chest radiographs and deep learning.

Medical physics
BACKGROUND: Total lung volume is an important quantitative biomarker and is used for the assessment of restrictive lung diseases.

MarkerML - Marker Feature Identification in Metagenomic Datasets Using Interpretable Machine Learning.

Journal of molecular biology
Identification of environment specific marker-features is one of the key objectives of many metagenomic studies. It aims to identify such features in microbiome datasets that may serve as markers of the contrasting or comparable states. Hypothesis te...

Clinical evaluation of a deep learning model for segmentation of target volumes in breast cancer radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PURPOSE/OBJECTIVE(S): Precise segmentation of clinical target volumes (CTV) in breast cancer is indispensable for state-of-the art radiotherapy. Despite international guidelines, significant intra- and interobserver variability exists, negatively imp...

An original deep learning model using limited data for COVID-19 discrimination: A multicenter study.

Medical physics
OBJECTIVES: Artificial intelligence (AI) has been proved to be a highly efficient tool for COVID-19 diagnosis, but the large data size and heavy label force required for algorithm development and the poor generalizability of AI algorithms, to some ex...