AIMC Topic: Female

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Evaluating the ability of an artificial-intelligence cloud-based platform designed to provide information prior to locoregional therapy for breast cancer in improving patient's satisfaction with therapy: The CINDERELLA trial.

PloS one
BACKGROUND: Breast cancer therapy improved significantly, allowing for different surgical approaches for the same disease stage, therefore offering patients different aesthetic outcomes with similar locoregional control. The purpose of the CINDERELLA...

Does previous endoscopic subureteric injection (STING) effect the outcomes of robot-assisted laparoscopic ureteral reimplantation surgery (RALUR) in children?

Journal of pediatric urology
BACKGROUND: There is lack of evidence on the success of robot-assisted laparoscopic ureteral reimplantation (RALUR) for the treatment of vesicoureteral reflux (VUR) who had prior intervention.

Enhancing the prediction of IDC breast cancer staging from gene expression profiles using hybrid feature selection methods and deep learning architecture.

Medical & biological engineering & computing
Prediction of the stage of cancer plays an important role in planning the course of treatment and has been largely reliant on imaging tools which do not capture molecular events that cause cancer progression. Gene-expression data-based analyses are a...

Robot-assisted Laparoscopic Excision of Abdominal Wall Endometrioma Utilizing Intraoperative Ultrasound and Transabdominal Needle Placement.

Journal of minimally invasive gynecology
OBJECTIVE: In patients with endometriosis, extra pelvic endometriosis is estimated to have an incidence of 11% and a rare subset of extra pelvic lesions include abdominal wall endometriosis with an incidence of 0.03% to 3.5% [1,2]. Evaluation for and...

Sex estimation from long bones: a machine learning approach.

International journal of legal medicine
Sex estimation from skeletal remains is one of the crucial issues in forensic anthropology. Long bones can be a valid alternative to skeletal remains for sex estimation when more dimorphic bones are absent or degraded, preventing any estimation from ...

Robot-assisted transcerebellar stereotactic approach to the posterior fossa in pediatric patients: a technical note.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery
PURPOSE: During the last decade, there has been renewed interest in stereotactic approaches to diffuse intrinsic pontine gliomas (DIPGs) in children, due to the development of new concepts in molecular biology and management, and subsequent need for ...

Deep Learning Model to Classify and Monitor Idiopathic Scoliosis in Adolescents Using a Single Smartphone Photograph.

JAMA network open
IMPORTANCE: Adolescent idiopathic scoliosis (AIS) is the most common pediatric spinal disorder. Routine physical examinations by trained personnel are critical to diagnose severity and monitor curve progression in AIS. In the presence of concerning m...

Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer.

JAMA network open
IMPORTANCE: Sarcopenia is an established prognostic factor in patients with head and neck squamous cell carcinoma (HNSCC); the quantification of sarcopenia assessed by imaging is typically achieved through the skeletal muscle index (SMI), which can b...

FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction.

IEEE transactions on medical imaging
Near-infrared diffuse optical tomography (DOT) is a promising functional modality for breast cancer imaging; however, the clinical translation of DOT is hampered by technical limitations. Specifically, conventional finite element method (FEM)-based o...

Long-term oncologic and functional outcomes following robot-assisted radical cystectomy and intracorporeal Padua ileal bladder: results from a single high-volume center.

World journal of urology
PURPOSE: To report long-term oncologic and functional outcomes of a large consecutive single center series of Robot-assisted radical cystectomy (RARC)- intracorporeal (IC) Urinary Diversion (UD), identifying their predicting factors.