An overview of artificial intelligence in diabetic retinopathy and other ocular diseases

B Sheng, X Chen, T Li, T Ma, Y Yang, L Bi… - Frontiers in Public …, 2022 - frontiersin.org
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 …

Modern views of machine learning for precision psychiatry

ZS Chen, IR Galatzer-Levy, B Bigio, C Nasca, Y Zhang - Patterns, 2022 - cell.com
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 …

[HTML][HTML] Accelerating detection of lung pathologies with explainable ultrasound image analysis

J Born, N Wiedemann, M Cossio, C Buhre, G Brändle… - Applied Sciences, 2021 - mdpi.com
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 …

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 …

FUTURE-AI: guiding principles and consensus recommendations for trustworthy artificial intelligence in medical imaging

K Lekadir, R Osuala, C Gallin, N Lazrak… - arXiv preprint arXiv …, 2021 - arxiv.org
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 …

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 …

Developing medical imaging AI for emerging infectious diseases

SC Huang, AS Chaudhari, CP Langlotz, N Shah… - nature …, 2022 - nature.com
Advances in artificial intelligence (AI) and computer vision hold great promise for assisting
medical staff, optimizing healthcare workflow, and improving patient outcomes. The COVID …

Evaluation of artificial intelligence-powered screening for sexually transmitted infections-related skin lesions using clinical images and metadata

NN Soe, Z Yu, PM Latt, D Lee, JJ Ong, Z Ge, CK Fairley… - BMC medicine, 2024 - Springer
Abstract Background Sexually transmitted infections (STIs) pose a significant global public
health challenge. Early diagnosis and treatment reduce STI transmission, but rely on …

Smart health: Intelligent healthcare systems in the metaverse, artificial intelligence, and data science era

Y Yang, K Siau, W Xie, 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 …

Recent advances in machine learning applied to ultrasound imaging

M Micucci, A Iula - Electronics, 2022 - mdpi.com
Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …