From promise to practice: towards the realisation of AI-informed mental health care

N Koutsouleris, TU Hauser, V Skvortsova… - The Lancet Digital …, 2022 - thelancet.com
In this Series paper, we explore the promises and challenges of artificial intelligence (AI)-
based precision medicine tools in mental health care from clinical, ethical, and regulatory …

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 …

Using artificial intelligence to improve public health: a narrative review

DB Olawade, OJ Wada, AC David-Olawade… - Frontiers in Public …, 2023 - frontiersin.org
Artificial intelligence (AI) is a rapidly evolving tool revolutionizing many aspects of
healthcare. AI has been predominantly employed in medicine and healthcare …

Emerging consensus on 'ethical AI': Human rights critique of stakeholder guidelines

S Fukuda‐Parr, E Gibbons - Global Policy, 2021 - Wiley Online Library
Voluntary guidelines on 'ethical practices' have been the response by stakeholders to
address the growing concern over harmful social consequences of artificial intelligence and …

Challenges in the development of digital public health interventions and mapped solutions: findings from a scoping review

I Iyamu, O Gómez-Ramírez, AXT Xu, HJ Chang… - Digital …, 2022 - journals.sagepub.com
Background “Digital public health” has emerged from an interest in integrating digital
technologies into public health. However, significant challenges which limit the scale and …

An introduction to machine learning for classification and prediction

JE Black, JK Kueper, TS Williamson - Family practice, 2023 - academic.oup.com
Classification and prediction tasks are common in health research. With the increasing
availability of vast health data repositories (eg electronic medical record databases) and …

Equity within AI systems: What can health leaders expect?

E Gurevich, B El Hassan… - Healthcare management …, 2023 - journals.sagepub.com
Artificial Intelligence (AI) for health has a great potential; it has already proven to be
successful in enhancing patient outcomes, facilitating professional work and benefiting …

[HTML][HTML] Balancing risks and benefits of artificial intelligence in the health sector

K Goodman, D Zandi, A Reis… - Bulletin of the World …, 2020 - ncbi.nlm.nih.gov
Balancing risks and benefits of artificial intelligence in the health sector - PMC Back to Top
Skip to main content NIH NLM Logo Access keys NCBI Homepage MyNCBI Homepage Main …

Ethnic disparity in diagnosing asymptomatic bacterial vaginosis using machine learning

C Celeste, D Ming, J Broce, DP Ojo, E Drobina… - NPJ Digital …, 2023 - nature.com
While machine learning (ML) has shown great promise in medical diagnostics, a major
challenge is that ML models do not always perform equally well among ethnic groups. This …

On the imperative of thinking through the ethical, health equity, and social justice possibilities and limits of digital technologies in public health

O Gómez-Ramírez, I Iyamu, A Ablona, S Watt… - Canadian Journal of …, 2021 - Springer
The COVID-19 pandemic has demonstrated both the positive and negative use, usefulness,
and impact of digital technologies in public health. Digitalization can help advance and …