Application of big data and artificial intelligence in COVID-19 prevention, diagnosis, treatment and management decisions in China

J Dong, H Wu, D Zhou, K Li, Y Zhang, H Ji… - Journal of Medical …, 2021 - Springer
COVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2),
spread rapidly and affected most of the world since its outbreak in Wuhan, China, which …

Machine learning and artificial intelligence applications to epilepsy: a review for the practicing epileptologist

WT Kerr, KN McFarlane - Current Neurology and Neuroscience Reports, 2023 - Springer
Abstract Purpose of Review Machine Learning (ML) and Artificial Intelligence (AI) are data-
driven techniques to translate raw data into applicable and interpretable insights that can …

Clinical decision support and implications for the clinician burnout crisis

I Jankovic, JH Chen - Yearbook of Medical Informatics, 2020 - thieme-connect.com
Objectives: This survey aimed to review aspects of clinical decision support (CDS) that
contribute to burnout and identify key themes for improving the acceptability of CDS to …

[HTML][HTML] A systematic review of the barriers to the implementation of artificial intelligence in healthcare

MI Ahmed, B Spooner, J Isherwood, M Lane, E Orrock… - Cureus, 2023 - ncbi.nlm.nih.gov
Artificial intelligence (AI) is expected to improve healthcare outcomes by facilitating early
diagnosis, reducing the medical administrative burden, aiding drug development …

Artificial intelligence for dermatopathology: Current trends and the road ahead

SB Chen, RA Novoa - Seminars in Diagnostic Pathology, 2022 - Elsevier
Artificial intelligence (AI), including deep learning methods that leverage neural network-
based algorithms, hold significant promise for dermatopathology and other areas of …

[HTML][HTML] Celebrating 20 years of open access and innovation at JMIR publications

G Eysenbach - Journal of Medical Internet Research, 2019 - ai.jmir.org
In this 20th anniversary theme issue, we are celebrating how JMIR Publications, an
innovative publisher deeply rooted in academia and created by scientists for scientists …

Regulatory aspects of artificial intelligence and machine learning-enabled software as medical devices (SaMD)

M Mahler, C Auza, R Albesa, C Melus, JA Wu - Precision Medicine and …, 2021 - Elsevier
With the introduction of artificial intelligence (AI) and machine learning (ML) in healthcare
and the development of an increasing number of commercial products based on software as …

Heart rate variability based prediction of personalized drug therapeutic response: the present status and the perspectives

Z Pei, M Shi, J Guo, B Shen - Current Topics in Medicinal …, 2020 - ingentaconnect.com
Heart rate variability (HRV) signals are reported to be associated with the personalized drug
response in many diseases such as major depressive disorder, epilepsy, chronic pain …

[HTML][HTML] 인공지능을활용한건강관리중재: 체계적고찰

박가은, 이해정, 이미순 - Korean Journal of Adult Nursing, 2021 - kjan.or.kr
Purpose This study aimed to identify the components of artificial intelligence-based
healthcare interventions and determine their effects on health behaviors and physiological …