Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review

JI Khan, J Khan, F Ali, F Ullah, J Bacha, S Lee - Ieee Access, 2022 - ieeexplore.ieee.org
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …

Bias in algorithms of AI systems developed for COVID-19: A scoping review

J Delgado, A de Manuel, I Parra, C Moyano… - Journal of bioethical …, 2022 - Springer
To analyze which ethically relevant biases have been identified by academic literature in
artificial intelligence (AI) algorithms developed either for patient risk prediction and triage, or …

Does “AI” stand for augmenting inequality in the era of covid-19 healthcare?

D Leslie, A Mazumder, A Peppin, MK Wolters… - bmj, 2021 - bmj.com
Does “AI” stand for augmenting inequality in the era of covid-19 healthcare? Page 1 the bmj |
BMJ 2021;372:n304 | doi: 10.1136/bmj.n304 1 ARTIFICIAL INTELLIGENCE AND COVID-19 …

Speeding up to keep up: exploring the use of AI in the research process

J Chubb, P Cowling, D Reed - AI & society, 2022 - Springer
There is a long history of the science of intelligent machines and its potential to provide
scientific insights have been debated since the dawn of AI. In particular, there is renewed …

Competencies for the use of artificial intelligence–based tools by health care professionals

RG Russell, LL Novak, M Patel, KV Garvey… - Academic …, 2023 - journals.lww.com
Purpose The expanded use of clinical tools that incorporate artificial intelligence (AI)
methods has generated calls for specific competencies for effective and ethical use. This …

Peeking into a black box, the fairness and generalizability of a MIMIC-III benchmarking model

E Röösli, S Bozkurt, T Hernandez-Boussard - Scientific Data, 2022 - nature.com
As artificial intelligence (AI) makes continuous progress to improve quality of care for some
patients by leveraging ever increasing amounts of digital health data, others are left behind …

Using artificial intelligence to advance sustainable development in industrial markets: A complex adaptive systems perspective

CB Satornino, S Du, D Grewal - Industrial Marketing Management, 2024 - Elsevier
The vast complexity involved in dealing responsibly with sustainable development is
daunting. Such complexity increases significantly due to the interdependencies and trade …

A proposed framework on integrating health equity and racial justice into the artificial intelligence development lifecycle

I Dankwa-Mullan, EL Scheufele… - Journal of Health Care …, 2021 - muse.jhu.edu
The COVID-19 pandemic has created multiple opportunities to deploy artificial intelligence
(AI)-driven tools and applied interventions to understand, mitigate, and manage the …

Ensuring that biomedical AI benefits diverse populations

J Zou, L Schiebinger - EBioMedicine, 2021 - thelancet.com
Artificial Intelligence (AI) can potentially impact many aspects of human health, from basic
research discovery to individual health assessment. It is critical that these advances in …

Perceptions of data set experts on important characteristics of health data sets ready for machine learning: a qualitative study

MY Ng, A Youssef, AS Miner, D Sarellano… - JAMA Network …, 2023 - jamanetwork.com
Importance The lack of data quality frameworks to guide the development of artificial
intelligence (AI)-ready data sets limits their usefulness for machine learning (ML) research in …