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1.
Phys Med ; 113: 102653, 2023 Sep.
Article in English | MEDLINE | ID: mdl-37586146

ABSTRACT

BACKGROUND: There have been several proposals by researchers for the introduction of Artificial Intelligence (AI) technology due to its promising role in radiotherapy practice. However, prior to the introduction of the technology, there are certain general recommendations that must be achieved. Also, the current challenges of AI must be addressed. In this review, we assess how Africa is prepared for the integration of AI technology into radiotherapy service delivery. METHODS: To assess the readiness of Africa for integration of AI in radiotherapy services delivery, a narrative review of the available literature from PubMed, Science Direct, Google Scholar, and Scopus was conducted in the English language using search terms such as Artificial Intelligence, Radiotherapy in Africa, Machine Learning, Deep Learning, and Quality Assurance. RESULTS: We identified a number of issues that could limit the successful integration of AI technology into radiotherapy practice. The major issues include insufficient data for training and validation of AI models, lack of educational curriculum for AI radiotherapy-related courses, no/limited AI teaching professionals, funding, and lack of AI technology and resources. Solutions identified to facilitate smooth implementation of the technology into radiotherapy practices within the region include: creating an accessible national data bank, integrating AI radiotherapy training programs into Africa's educational curriculum, investing in AI technology and resources such as electronic health records and cloud storage, and creation of legal laws and policies to support the use of the technology. These identified solutions need to be implemented on the background of creating awareness among health workers within the radiotherapy space. CONCLUSION: The challenges identified in this review are common among all the geographical regions in the African continent. Therefore, all institutions offering radiotherapy education and training programs, management of the medical centers for radiotherapy and oncology, national and regional professional bodies for medical physics, ministries of health, governments, and relevant stakeholders must take keen interest and work together to achieve this goal.


Subject(s)
Artificial Intelligence , Radiation Oncology , Humans , Machine Learning , Curriculum , Africa
2.
Phys Med ; 103: 46-58, 2022 Nov.
Article in English | MEDLINE | ID: mdl-36219962

ABSTRACT

This scoping review provides overview on the historical and major developments, current status, quantitative magnetic resonance (MR) studies and the role of medical physics bodies in MR imaging in Africa. The study analyzed MRI availability in 32 (59 %) of the 54 African countries. South Africa and Egypt have the most dominant MR systems. Number of MR systems in the 4 northern countries (Egypt, Morocco, Algeria and Libya) alone constitute 53 % of the total number of machines in the studied countries. Less than one-third of the countries have 1 MR system serving less than a million population. Libya recorded the most MR systems per million population. The studied countries altogether have an average of 1 machine per million population. The private sector far dominates number of installed MR systems across the region, making up two-thirds of the distribution. A major challenge was revealed where less than 3 % of Medical Physicists in the studied countries are engaged in MRI facilities. Review of MRI published studies in the last 5 years indicates dominance of literature on brain studies and most of such published works coming from Nigeria. Only 7 out of 27 published studies reviewed were quantitative. The African region has no dedicated MRI physics societies; however, the regional medical physics body and national associations have big roles to play in developing MRI through education, research, training and leveraging on awareness creation. Thisreview is the first of such wide scale study on MRI availability and quantitative studies in the African region.


Subject(s)
Magnetic Resonance Imaging , Egypt , Algeria , Morocco , Libya
4.
Health Technol (Berl) ; 10(6): 1391-1396, 2020.
Article in English | MEDLINE | ID: mdl-32837810

ABSTRACT

Radiotherapy is life-saving treatment which ought to be guaranteed for all cancer patients who are indicated. While this is so, it is incumbent on the management of radiotherapy centres to ensure that patients, patient care-givers and radiotherapy personnel are at all times safe within the radiotherapy facility. Cancer patients are known to have increased risk for respiratory viruses like Covid-19 due to the compromised immune state of such persons. It is thus important to institute adequate safety measures in radiotherapy centres to prevent infection of cancer patients during the global Covid-19 pandemic. A survey conducted in 12 radiotherapy centres in 8 African countries has highlighted key measures needing implementation to ensure safety against Covid-19 infections. The safety measures were indexed on a 16-point questionnaire covering 5 main areas of staffing, radiotherapy environment, equipment and treatment protocols, patient condition and scheduling, and education/sensitization. The study shows that use of personal protective equipment, provision of hand washing and sanitizing facilities, social distance observance, restrictions for patient care-givers, provision of isolation unit meant for holding suspected Covid-19 cases, existence of working protocols, and Covid-19 safety education for staff are fully complied with by the surveyed radiotherapy centres. A greater portion of the centres, are however, without radiotherapy facilities solely dedicated for suspicious and confirmed Covid-19 cases. Strict adherence of the safety measures is highly essential to contain the spread and prevent infection of the disease to patients, care-givers and staff of the radiotherapy departments.

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