Development of an AI Platform for Advanced Breast Cancer Management.

This article explores the transition from a traditional histopathological examination system to an innovative platform using artificial intelligence (AI) for breast cancer detection from histopathological images in Burkina Faso. The existing system is analyzed in detail, highlighting the steps of querying, sample preparation, analysis by the pathologist, and validation by the physician. From this analysis, the needs and challenges are identified, emphasizing the opportunities for AI to improve the efficiency and accuracy of the diagnosis.

Responding to the challenges of Global Children Surgery: a unique program in Burkina Faso.

Purpose: The challenges are immense when it comes to enhancing the development of pediatric surgery in low- and middle-income countries in line with current recommendations for holistic and sustainable approaches. The Pediatric surgery development plan in Burkina Faso was started in 2020. This paper reports on our unique experience, focusing on the main actions and indicators monitored.

Comparative Analysis of Artificial Intelligence Algorithms for Breast Cancer Detection from Pathological Image in Burkina Faso.

Artificial Intelligence (AI) has revolutionized many fields, including medical imaging. This revolution has enabled the digitization of medical images, the development of algorithms allowing the use of data captured in natural language, and deep learning, enabling the development of algorithms for automatic processing of medical images from massive medical data. In Burkina Faso, early and accurate detection of breast cancer is a significant challenge due to limited resources and lack of specialized expertise.

Artificial Intelligence System for Automated Breast Cancer Detection in Pathology in Burkina Faso: Methodology Overview.

The introduction of artificial intelligence (AI) in breast cancer diagnosis in Burkina Faso represents a significant advancement in the field of healthcare. Faced with the public health issue posed by breast cancer, this study focuses on the use of AI to improve early and accurate detection of this disease from histopathological images. For the implementation of the system, we utilized a customized architecture tailored to our context where image quality is low, based on the convolutional neural networks algorithm from the Keras library of TensorFlow.

In Silico Screening of Phytocompounds from West African Traditional Medicine and Molecular Docking Targeting Dengue Virus Protein NS2B/NS3.

Traditional medicine offers a wide range of application for in silico study techniques. This drug research and development strategy is embryonic in the West African context, particularly in Burkina Faso, which is increasingly faced with emerging diseases such as dengue fever. Circulation of the 4 serotypes of this virus has been documented in the country.

Design and Integration of an Intelligent Agent to a Telemedicine Platform, for the Translation of Exchanges Between Doctor and Patient During Teleconsultation: Methodology of Design and Technological Choices.

After having designed and implemented a telemedicine solution equipped with a video presence tool for teleconsultation and tele-expertise and in order to obtain a faithful communication between healthcare professional and patient despite language differences, our study was to perform a literary review on the various existing works and to perform analysis on the different types of neural network for designing an voice intelligent agent for translation during exchanges between doctor and patient during teleconsultation and make tool choices for its development.

Advancing CPR Training with Virtual Reality: A Review.

This literature review assesses the effectiveness of virtual reality (VR) serious games in cardiopulmonary resuscitation training, focusing on its impact on skill acquisition, confidence, and knowledge retention.

Setting up a Video Transmission Tool for Teleconsultation and Tele-Expertise in an African Context: Case of Burkina Faso.

Since the COVID-19 health crisis, telemedicine has received a lot of attention around the world. Following attempts to set up a telemedicine system, in particular teleconsultation and teleexpertise, which proved inconclusive in Burkina, we have seen several technologies and tools that could enable the implementation of a telemedicine solution that meets the realities of Burkina Faso. The results of the study of the existing system and interviews with health professionals have made it possible to design a telemedicine platform combining a scalable video-transmission tool adapted to the country's health system.

Design of an Application for the Automatic Assessment of the Quality of Data Produced in an African Context (Burkina Faso) "Package Data Quality Assessment (PackDQA)".

We have developed data quality tool in R language. Our application name is Package-Data-Quality-Assessment (PackDQA)". It developed following five points: Quality dimension approaches identification, design of quality measures, global coefficient design, development of the quality model, test and deployment model.

Patient's Unique Identifier for Efficient and Secure Monitoring of Pregnant Women in Burkina Faso.

The objective of this work is to set up a device allowing to identify the pregnant woman in a univocal and reliable way during her pregnancy follow-up. This study is a continuation of a project to improve the electronic monitoring of pregnancy in pregnant women in Burkina Faso. The methodology is based on the scientific work of the GMSIH of France (1).

Mobile Monitoring of Diabetic Patients in the Active File of the Medical Center of Do (Burkina Faso).

The care of diabetic patients in peripheral medical centers in Burkina Faso faces many difficulties. This work, which is a new experience, aimed to set up an information system for the care of diabetic patients in the context of Burkina Faso. The system thus conceived consists of a web application (MedshakeEHR), used by the doctor and a mobile application (Glucosio) for the patient.

Implementation of a Monitoring System for Pregnancy by Tele-Ultrasound in an African Context (Burkina Faso).

Prenatal ultrasound is a radiological examination that allows optimal follow-up of pregnancies. However, its implementation remains limited in poor countries due to a lack of equipment and trained health workers, such as in Burkina Faso. The aim of this work is to set up an ultrasound tele-expertise system.

Design and Implementation of a Computerized Management System for Adverse Drug Reactions at the Sourô SANOU University Hospital (CHUSS) in Bobo-Dioulasso, Burkina Faso.

Pharmacovigilance is the science and activities related to the detection, evaluation, understanding and prevention of adverse drug reactions or any other possible drug-related problems. In our tropics, this discipline is in an embryonic state. The availability of a management system capable of responding to pharmacovigilance activities is the main objective of our study.

Bioinformatic Analysis of MIRU-VNTR Repeats of Mycobacterium Tuberculosis Strains from Lagos, Nigeria.

The analysis of Mycobacterial Interpersed Repetitive Unit-Variable Number of Tandem Repeat (MIRU-VNTR) discriminates against the species of M. tuberculosis involved in the transmission of the disease. The reference method is the manual method.

A Data Warehouse Design for Dangerous Pathogen Monitoring.

Emerging diseases are a major public health problem as illustrated by the current coronavirus disease (COVID-19) pandemic. To make the right decisions, public health departments need a decision-making system. In Africa few IT systems have been put in place to help managers of public health in the analysis of their multidisciplinary data.

Health Metrics Network (HMN-WHO), a Tool to Assess the Quality of the Information System in Burkina Hospitals.

An assessment of the quality of the information system was conducted in the 14 hospitals of Burkina Faso in 2017 using the HMN tool (Health Metrics Network). This evaluation was part of the process of developing a master plan for implementing a HIS for the hospitals in the country, and was aimed at analyzing the sub-components of the existing information system. The results are presented as scores, one per component, evaluated in % and converted into quartiles, ranging from the 1st quartile "Not adequate at all" to the 4th quartile "Highly adequate".

Health professionals and patients' perspectives on person-centred maternal and child healthcare in Burkina Faso.

Context: The person-centred approach (PCA) is a promising avenue for care improvement. However, health professionals in Burkina Faso (hereafter referred to as caregivers) seem unprepared for taking into consideration patients' preferences and values in the context of healthcare provision.

Objective: To understand the meaning attributed to PCA in the Burkina Faso context of care and to identify the challenges related to its adoption from the perspective of caregivers and women service users (hereafter referred to as patients).

Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso.

Background: With limited resources and spatio-temporal heterogeneity of malaria in developing countries, it is still difficult to assess the real impact of socioeconomic and environmental factors in order to set up targeted campaigns against malaria at an accurate scale. Our goal was to detect malaria hotspots in rural area and assess the extent to which household socioeconomic status and meteorological recordings may explain the occurrence and evolution of these hotspots.

Methods: Data on malaria cases from 2010 to 2014 and on socioeconomic and meteorological factors were acquired from four health facilities within the Nanoro demographic surveillance area.

Quality Control of a Health Information System for Causes of Death Statistics in Burkina Faso Using Capture-Recapture Method.

Introduction: The information system on the causes of death (ISCD), set up in Burkina Faso in January 2014 at the University Hospital Center Souro Sanon (UHCSS) of Bobo-Dioulasso, was evaluated to assess its completeness in terms of death statistics generation.

Method: The capture-recapture method was used to assess this quality control using the three-sources technique.

Results: The cross verification of the three data sources (mortuary, admission department, death certificate) gave the following estimations: number of deaths observed: 735, total estimated deaths: 852 [820-900], i.

Cause-of-death certification in Africa: analysis of a model implemented at the teaching hospital of Souro Sanou of Bobo-Dioulasso (Burkina Faso).

Introduction: In Africa, mortality statistics are not reliable due to the low performance of the death registering systems. Our aim is to implement an efficient system. In this article we make a comparison between the existing system model and the new system that will be set up.