Artificial intelligence and the future of global health
N Schwalbe, B Wahl - The Lancet, 2020 - thelancet.com
Concurrent advances in information technology infrastructure and mobile computing power
in many low and middle-income countries (LMICs) have raised hopes that artificial …
in many low and middle-income countries (LMICs) have raised hopes that artificial …
Artificial intelligence in ultrasound
YT Shen, L Chen, WW Yue, HX Xu - European Journal of Radiology, 2021 - Elsevier
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[HTML][HTML] Deep-learning based detection of COVID-19 using lung ultrasound imagery
J Diaz-Escobar, NE Ordonez-Guillen… - Plos one, 2021 - journals.plos.org
Background The COVID-19 pandemic has exposed the vulnerability of healthcare services
worldwide, especially in underdeveloped countries. There is a clear need to develop novel …
worldwide, especially in underdeveloped countries. There is a clear need to develop novel …
Use of artificial intelligence in infectious diseases
S Agrebi, A Larbi - Artificial intelligence in precision health, 2020 - Elsevier
Infectious diseases are caused by microorganisms belonging to the class of bacteria,
viruses, fungi, or parasites. These pathogens are transmitted, directly or indirectly, and can …
viruses, fungi, or parasites. These pathogens are transmitted, directly or indirectly, and can …
Prediction model development of late-onset preeclampsia using machine learning-based methods
JH Jhee, SH Lee, Y Park, SE Lee, YA Kim, SW Kang… - PLoS …, 2019 - journals.plos.org
Preeclampsia is one of the leading causes of maternal and fetal morbidity and mortality. Due
to the lack of effective preventive measures, its prediction is essential to its prompt …
to the lack of effective preventive measures, its prediction is essential to its prompt …
Integrating artificial and human intelligence: a partnership for responsible innovation in biomedical engineering and medicine
K Dzobo, S Adotey, NE Thomford… - Omics: a journal of …, 2020 - liebertpub.com
Historically, the term “artificial intelligence” dates to 1956 when it was first used in a
conference at Dartmouth College in the US. Since then, the development of artificial …
conference at Dartmouth College in the US. Since then, the development of artificial …
Survey on deep learning for pulmonary medical imaging
As a promising method in artificial intelligence, deep learning has been proven successful in
several domains ranging from acoustics and images to natural language processing. With …
several domains ranging from acoustics and images to natural language processing. With …
The role of artificial intelligence in management of critical COVID-19 patients
S Rahmatizadeh, S Valizadeh-Haghi… - Journal of Cellular & …, 2020 - brieflands.com
: Background: the COVID-19 outbreak has created a great challenge for the healthcare
system worldwide. One of the most critical points of this challenge is the management of …
system worldwide. One of the most critical points of this challenge is the management of …
Automatic pleural line extraction and COVID-19 scoring from lung ultrasound data
Recent works highlighted the significant potential of lung ultrasound (LUS) imaging in the
management of subjects affected by COVID-19. In general, the development of objective …
management of subjects affected by COVID-19. In general, the development of objective …
Moving beyond the stethoscope: diagnostic point-of-care ultrasound in pediatric practice
Diagnostic point-of-care ultrasound (POCUS) is a growing field across all disciplines of
pediatric practice. Machine accessibility and portability will only continue to grow, thus …
pediatric practice. Machine accessibility and portability will only continue to grow, thus …