AIMC Topic: Female

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Deep Learning to Predict Neonatal and Infant Brain Age from Myelination on Brain MRI Scans.

Radiology
Background Assessment of appropriate brain myelination on T1- and T2-weighted MRI scans is based on gestationally corrected age (GCA) and requires subjective visual inspection of the brain with knowledge of normal myelination milestones. Purpose To d...

Determining the effective factors in predicting diet adherence using an intelligent model.

Scientific reports
Adhering to a healthy diet plays an essential role in preventing many nutrition-related diseases, such as obesity, diabetes, high blood pressure, and other cardiovascular diseases. This study aimed to predict adherence to the prescribed diets using a...

Robotic surgery in gynaecology: Scientific Impact Paper No. 71 (July 2022).

BJOG : an international journal of obstetrics and gynaecology
The use of robotic-assisted keyhole surgery in gynaecology has expanded in recent years owing to technical advances. These include 3D viewing leading to improved depth perception, limitation of tremor, potential for greater precision and discriminati...

Efficacy of the Mercedes-Benz closure technique for vaginal reconstruction in female robot-assisted radical cystectomy.

Asian journal of endoscopic surgery
INTRODUCTION: Vaginal reconstruction using the posterior vaginal wall is required following radical cystectomy in women with resection of the uterus, adnexa, and anterior vaginal wall. Roll closure and clamshell closure are two widely known technique...

Phenotypes of sickle cell intensive care admissions: an unsupervised machine learning approach in a single-center retrospective cohort.

Annals of hematology
Sickle cell disease (SCD) is associated with multiple known complications and increased mortality. This study aims to further understand the profile of intensive care unit (ICU) admissions of SCD patients. In this single-center retrospective cohort (...

Detection of Incidental Pulmonary Embolism on Conventional Contrast-Enhanced Chest CT: Comparison of an Artificial Intelligence Algorithm and Clinical Reports.

AJR. American journal of roentgenology
Artificial intelligence (AI) algorithms have shown strong performance for detection of pulmonary embolism (PE) on CT examinations performed using a dedicated protocol for PE detection. AI performance is less well studied for detecting PE on examinat...

Predicting recurrence and recurrence-free survival in high-grade endometrial cancer using machine learning.

Journal of surgical oncology
OBJECTIVE: To develop machine-learning models to predict recurrence and time-to-recurrence in high-grade endometrial cancer (HGEC) following surgery and tailored adjuvant treatment.

Automated detection of vascular remodeling in tumor-draining lymph nodes by the deep-learning tool HEV-finder.

The Journal of pathology
Vascular remodeling is common in human cancer and has potential as future biomarkers for prediction of disease progression and tumor immunity status. It can also affect metastatic sites, including the tumor-draining lymph nodes (TDLNs). Dilation of t...

Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs.

Scientific reports
Joint effusion due to elbow fractures are common among adults and children. Radiography is the most commonly used imaging procedure to diagnose elbow injuries. The purpose of the study was to investigate the diagnostic accuracy of deep convolutional ...

Comparison of transvaginal mesh surgery and robot-assisted sacrocolpopexy for pelvic organ prolapse.

BMC surgery
BACKGROUND: Pelvic organ prolapse (POP) is greatly affecting the quality of life (QOL) of women. There are some surgical techniques for POP repair, for example, transvaginal mesh surgery (TVM), laparoscopic sacrocolpopexy (LSC), and robot-assisted sa...