Priorities for successful use of artificial intelligence by public health organizations: a literature review

S Fisher, LC Rosella - BMC Public Health, 2022 - Springer
Artificial intelligence (AI) has the potential to improve public health's ability to promote the
health of all people in all communities. To successfully realize this potential and use AI for …

Health intelligence: how artificial intelligence transforms population and personalized health

A Shaban-Nejad, M Michalowski, DL Buckeridge - NPJ digital medicine, 2018 - nature.com
Advances in computational and data sciences for data management, integration, mining,
classification, filtering, visualization along with engineering innovations in medical devices …

[PDF][PDF] Literature review of ethical concerns in the use of disruptive technologies in government 3.0

A Ronzhyn, MA Wimmer - Icds, 2019 - researchgate.net
'Government 3.0'as the new paradigm brings in new disruptive technologies in the
digitization process of the public sector. The massive use of Artificial Intelligence, Machine …

Impact of AI and dynamic ensemble techniques in enhancing healthcare services: opportunities and ethical challenges

H Javed, HA Muqeet, A Danesh, AU Rehman… - IEEE …, 2024 - ieeexplore.ieee.org
This review paper examines the transformative role of artificial intelligence (AI) and dynamic
ensemble techniques in enhancing healthcare services. By systematically reviewing …

Multimodal artificial intelligence: next wave of innovation in healthcare and medicine

A Shaban-Nejad, M Michalowski, S Bianco - Multimodal AI in healthcare …, 2022 - Springer
Multimodality refers to the utilization of different data types with different representational
modes. Medical and health data are becoming more and more multimodal. Emerging …

Characterizing co-purchased food products with soda, fresh fruits, and fresh vegetables using loyalty card purchasing data in Montréal, Canada, 2015–2017

H Mamiya, K Crowell, CL Mah… - International Journal of …, 2025 - Springer
Background Foods are not purchased in isolation but are normally co-purchased with other
food products. The patterns of co-purchasing associations across a large number of food …

Health intelligence

A Shaban-Nejad, R Kamaleswaran, EK Shin… - Biomedical information …, 2020 - Elsevier
Artificial intelligence (AI) enables machines to extract, integrate, exchange, and analyze
large heterogeneous datasets to answer complex problems in a timely manner. The promise …

Artificial intelligence for personalized care, wellness, and longevity research

A Shaban-Nejad, M Michalowski, S Bianco - International Workshop on …, 2023 - Springer
Artificial intelligence (AI) has the potential to transform personalized medicine by enabling
healthcare professionals to deliver more precise, targeted treatments that are tailored to the …

Infodemiology: Studying rhythmicity in online health information behaviour

J Tana - 2019 - doria.fi
The aim of this thesis is to examine the rhythmicity and temporal variations of online health
information behaviour. Time and temporal aspects have previously been neglected in …

Rhythmicity of health information behaviour: utilizing the infodemiology approach to study temporal patterns and variations

J Tana, E Eirola, K Eriksson-Backa - Aslib Journal of Information …, 2019 - emerald.com
Purpose This paper brings focus and attention to the aspect of time within health information
behaviour. The purpose of this paper is to critically assess and present strengths and …