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Full-Text Articles in Medicine and Health Sciences
Generalisability Of Deep Learning Models In Low-Resource Imaging Settings: A Fetal Ultrasound Study In 5 African Countries, Carla Sendra-Balcells, V´Ictor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa Elattar, Benard Ohene Botwe, Pempho Nyangulu, William Stones, Sikolia Wanyonyi, Marleen Temmerman
Generalisability Of Deep Learning Models In Low-Resource Imaging Settings: A Fetal Ultrasound Study In 5 African Countries, Carla Sendra-Balcells, V´Ictor M. Campello, Jordina Torrents-Barrena, Yahya Ali Ahmed, Mustafa Elattar, Benard Ohene Botwe, Pempho Nyangulu, William Stones, Sikolia Wanyonyi, Marleen Temmerman
Obstetrics and Gynaecology, East Africa
Most artificial intelligence (AI) research and innovations have concentrated in high-income countries, where imaging data, IT infrastructures and clinical expertise are plentiful. However, slower progress has been made in limited-resource environments where medical imaging is needed. For example, in Sub-Saharan Africa the rate of perinatal mortality is very high due to limited access to antenatal screening. In these countries, AI models could be implemented to help clinicians acquire fetal ultrasound planes for diagnosis of fetal abnormalities. So far, deep learning models have been proposed to identify standard fetal planes, but there is no evidence of their ability to generalise in …
Understanding Deep Learning - Challenges And Prospects, Niha Adnan, Fahad Umer
Understanding Deep Learning - Challenges And Prospects, Niha Adnan, Fahad Umer
Department of Surgery
The developments in Artificial Intelligence have been on the rise since its advent. The advancements in this field have been the innovative research area across a wide range of industries, making its incorporation in dentistry inevitable. Artificial Intelligence techniques are making serious progress in the diagnostic and treatment planning aspects of dental clinical practice. This will ultimately help in the elimination of subjectivity and human error that are often part of radiographic interpretations, and will improve the overall efficiency of the process. The various types of Artificial Intelligence algorithms that exist today make the understanding of their application quite complex. …