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An overview of artificial intelligence in diabetic retinopathy and other ocular diseases
Artificial intelligence (AI), also known as machine intelligence, is a branch of science that
empowers machines using human intelligence. AI refers to the technology of rendering …
empowers machines using human intelligence. AI refers to the technology of rendering …
Modern views of machine learning for precision psychiatry
In light of the National Institute of Mental Health (NIMH)'s Research Domain Criteria (RDoC),
the advent of functional neuroimaging, novel technologies and methods provide new …
the advent of functional neuroimaging, novel technologies and methods provide new …
[HTML][HTML] Accelerating detection of lung pathologies with explainable ultrasound image analysis
Care during the COVID-19 pandemic hinges upon the existence of fast, safe, and highly
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …
sensitive diagnostic tools. Considering significant practical advantages of lung ultrasound …
FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging
The recent advancements in artificial intelligence (AI) combined with the extensive amount
of data generated by today's clinical systems, has led to the development of imaging AI …
of data generated by today's clinical systems, has led to the development of imaging AI …
A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data
M Chieregato, F Frangiamore, M Morassi, C Baresi… - Scientific reports, 2022 - nature.com
COVID-19 clinical presentation and prognosis are highly variable, ranging from
asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi …
asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi …
Artificial intelligence-driven assessment of radiological images for COVID-19
Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …
Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata
Abstract Background Sexually transmitted infections (STIs) pose a significant global public
health challenge. Early diagnosis and treatment reduce STI transmission, but rely on …
health challenge. Early diagnosis and treatment reduce STI transmission, but rely on …
Stabilizing deep tomographic reconstruction: Part A. Hybrid framework and experimental results
A recent PNAS paper reveals that several popular deep reconstruction networks are
unstable. Specifically, three kinds of instabilities were reported:(1) strong image artefacts …
unstable. Specifically, three kinds of instabilities were reported:(1) strong image artefacts …
Applying the UTAUT2 framework to patients' attitudes toward healthcare task shifting with artificial intelligence
Background Increasing patient loads, healthcare inflation and ageing population have put
pressure on the healthcare system. Artificial intelligence and machine learning innovations …
pressure on the healthcare system. Artificial intelligence and machine learning innovations …
Smart health: Intelligent healthcare systems in the metaverse, artificial intelligence, and data science era
Y Yang, K Siau, W **e, Y Sun - Journal of Organizational and End …, 2022 - igi-global.com
In recent decades, healthcare organizations around the world have increasingly appreciated
the value of information technologies for a variety of applications. Three of the new …
the value of information technologies for a variety of applications. Three of the new …