Using Deep Learning to Suggest Treatment for Proximal Humerus Fractures.

Proximal humeral fractures are among the most common fractures seen in emergency departments. Accurately diagnosing and selecting the most appropriate treatment for these fractures can be challenging, and consultation with a senior orthopedic surgeon can be time-consuming for both the patient and the emergency unit. We developed a machine learning model for predicting the type of treatment based on injury radiographic images.

Knowledge and perception of asthma among parents of children with asthma.

Introduction: Parents' knowledge is an integral part of healthcare quality, impacting treatment adherence, patient loyalty and healthcare utilisation in pediatric asthma. Parental knowledge is particularly crucial as parents influence decision-making for their child's healthcare.

Aim: To assess parents' knowledge and perceptions of their children's asthma and to identify areas for weakness in therapeutic education.

The cost of multiple myeloma and its complications: A single-center study from Oran, Algeria.

Background: The expenses of multiple myeloma (MM) represent a real economic and societal burden for patients and health authorities. However, very little is known about the situation in Algeria. Therefore, the aim of this study is to evaluate the costs generated by the management of MM and its complications in Algerian patients.

Semantic Querying of Hospital Data Using an Ontology-Based Model of Discharge Summaries and ICD 10.

This paper focusses on the question of knowledge-based modeling of discharge summaries for semantic requesting in the context of hospital reporting process. An ontology was designed and implemented to capture patient data and required expert knowledge. The modeling process was carried out manually using Protégé after an initial reverse engineering of the official format of discharge summaries.

Association of Occupational Pesticide Exposure With Immunochemotherapy Response and Survival Among Patients With Diffuse Large B-Cell Lymphoma.

Importance: Professional use of pesticides is a risk factor for non-Hodgkin lymphoma. The main biological mechanisms of pesticides and chemotherapy are genotoxicity and reactive oxygen species generation. Cellular adaptation among patients exposed to low doses of genotoxic and oxidative compounds might hinder chemotherapy efficiency in patients with lymphoma.

Cystic fibrosis in Tunisian children: a review of 32 children.

Background: Cystic fibrosis is rare in Tunisia. Its diagnosis requires experienced specialists. Its prognosis is poor in developing countries.

Influenza A/H1N1 pdm 09 in children's Hospital Bechir Hamza of Tunis.

Background: Influenza A (H1N1) is a contagious acute respiratory infection caused a pandemic in 2009. The outcome was variable among populations.

Aim: To describe a clinical spectrum and the outcome of Tunisian children with pandemic H1N1/09 influenza virus.

Exodermis and endodermis are the sites of xanthone biosynthesis in Hypericum perforatum roots.

Xanthones are specialized metabolites with antimicrobial properties, which accumulate in roots of Hypericum perforatum. This medicinal plant provides widely taken remedies for depressive episodes and skin disorders. Owing to the array of pharmacological activities, xanthone derivatives attract attention for drug design.

Flexible bronchoscopy contribution in the approach of diagnosis and treatment of children's respiratory diseases: the experience of a unique pediatric unit in Tunisia.

Objective: Our study aimed at assessing the role of flexible bronchoscopy (FB) in improving diagnosis and management of children's respiratory conditions in the pediatric unit of FB, newly created and unique in Tunisia.

Methods: Retrospective study including all the FB achieved in our pediatric unit from 2009 to 2014.

Results: We performed 365 FB in 333 patients aged 46 months on average (1 month - 15 years), often under conscious anesthesia (81.

[Cannabis and acute coronary syndrome with ST segment elevation].

Cannabis is the most common substance of drug abuse in the world and has euphoric and hallucinogenic effects. Its cardiovascular effects are well-known. However, there is limited information concerning cannabis-induced acute coronary syndrome and the exact contribution of cannabis smoking to coronary artery disease.

The issue of building generative terminologies for automatic medical data aggregation.

This work addresses the problem of medical terminologies building. Starting from a set of elementary knowledge, a multi-hierarchical terminology is generated according to formal principles that are based on explicit classificatory points of view. The experimentation has been carried out on kidney diseases.

[Computerizing the radiological sign].

The goal of this article is to present to the radiologist the different theories of the sign and their consequences for sign representation in computer systems. All the theories of the sign are presented, but the most relevant are highlighted in order to explain the great modeling systems currently in use (such as DICOM-SR or the UMLS). The constructivist approach of the notion of disease, the semiosis process, which starting from signs produces new signs, and the structuralist analysis of sign through language are emphasized.