AIMC Topic: Adolescent

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[NEW METHOD OF PARTIAL NEPHRECTOMY WITH SELECTIVE PARENCHYMA CLAMPING].

Vestnik khirurgii imeni I. I. Grekova
The authors suggested a new method of performance of open, laparoscopic and robot-assisted partial nephrectomy using specially developed instruments for selective parenchyma clamping in order to improve the functional results of renal cell carcinoma ...

Neural network models - a novel tool for predicting the efficacy of growth hormone (GH) therapy in children with short stature.

Neuro endocrinology letters
INTRODUCTION: The leading method for prediction of growth hormone (GH) therapy effectiveness are multiple linear regression (MLR) models. Best of our knowledge, we are the first to apply artificial neural networks (ANN) to solve this problem. For ANN...

Acute appendicitis diagnosis using artificial neural networks.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Artificial neural networks is one of pattern analyzer method which are rapidly applied on a bio-medical field.

[Robot-assisted and laparoscopic partial splenectomy for nonparasitic cysts].

Khirurgiia
21 patients with nonparasitic spleen cysts were operated. Robot-assisted (RA) interventions were applied in 10 cases, laparoscopic--in 11 patients. Men surgery duration was 124 minutes in case of RA-technique and 120 minutes if laparoscopy was used. ...

Development of an Adolescent Depression Ontology for Analyzing Social Data.

Studies in health technology and informatics
Depression in adolescence is associated with significant suicidality. Therefore, it is important to detect the risk for depression and provide timely care to adolescents. This study aims to develop an ontology for collecting and analyzing social medi...

Fast, Continuous Audiogram Estimation Using Machine Learning.

Ear and hearing
OBJECTIVES: Pure-tone audiometry has been a staple of hearing assessments for decades. Many different procedures have been proposed for measuring thresholds with pure tones by systematically manipulating intensity one frequency at a time until a disc...

Bodypart Recognition Using Multi-stage Deep Learning.

Information processing in medical imaging : proceedings of the ... conference
Automatic medical image analysis systems often start from identifying the human body part contained in the image; Specifically, given a transversal slice, it is important to know which body part it comes from, namely "slice-based bodypart recognition...

Shape Classification Using Wasserstein Distance for Brain Morphometry Analysis.

Information processing in medical imaging : proceedings of the ... conference
Brain morphometry study plays a fundamental role in medical imaging analysis and diagnosis. This work proposes a novel framework for brain cortical surface classification using Wasserstein distance, based on uniformization theory and Riemannian optim...

Diagnosis of periodontal diseases using different classification algorithms: a preliminary study.

Nigerian journal of clinical practice
OBJECTIVE: The purpose of the proposed study was to develop an identification unit for classifying periodontal diseases using support vector machine (SVM), decision tree (DT), and artificial neural networks (ANNs).

AIDS causes sharp rise in number of Brazilian orphans.

AIDS weekly plus
An estimated 183,000 Brazilian children are at risk of losing their mothers to AIDS, according to a survey released. The survey, sponsored by UNICEF, was conducted by the John Snow Institute. Survey estimates are that 10,600 Brazilian children younge...