Optimizing human-centered AI for healthcare in the Global South

CT Okolo - Patterns, 2022 - cell.com
Over the past 60 years, artificial intelligence (AI) has made significant progress, but most of
its benefits have failed to make a significant impact within the Global South. Current …

When is machine learning data good?: Valuing in public health datafication

D Thakkar, A Ismail, P Kumar, A Hanna… - Proceedings of the …, 2022 - dl.acm.org
Data-driven approaches that form the foundation of advancements in machine learning (ML)
are powered in large part by human infrastructures that enable the collection of large …

AI in global health: the view from the front lines

A Ismail, N Kumar - Proceedings of the 2021 CHI Conference on Human …, 2021 - dl.acm.org
There has been growing interest in the application of AI for Social Good, motivated by scarce
and unequal resources globally. We focus on the case of AI in frontline health, a Social …

Learn to intervene: An adaptive learning policy for restless bandits in application to preventive healthcare

A Biswas, G Aggarwal, P Varakantham… - arXiv preprint arXiv …, 2021 - arxiv.org
In many public health settings, it is important for patients to adhere to health programs, such
as taking medications and periodic health checks. Unfortunately, beneficiaries may …

Public health calls for/with ai: An ethnographic perspective

A Ismail, D Thakkar, N Madhiwalla… - Proceedings of the ACM on …, 2023 - dl.acm.org
Artificial Intelligence (AI) based technologies are increasingly being integrated into public
sector programs to help with decision-support and effective distribution of constrained …

" If it is easy to understand then it will have value": Examining Perceptions of Explainable AI with Community Health Workers in Rural India

CT Okolo, D Agarwal, N Dell, A Vashistha - Proceedings of the ACM on …, 2024 - dl.acm.org
AI-driven tools are increasingly deployed to support low-skilled community health workers
(CHWs) in hard-to-reach communities in the Global South. This paper examines how CHWs …

[PDF][PDF] Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits.

A Mate, A Perrault, M Tambe - AAMAS, 2021 - network-games-muri.engin.umich …
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits Page 1
Risk-Aware Interventions in Public Health: Planning with Restless Multi-Armed Bandits Aditya …

Speculating with Care: Worker-centered Perspectives on Scale in a Chat-based Health Information Service

N Karusala, S Yan, N Rajkumar… - Proceedings of the ACM on …, 2023 - dl.acm.org
Seeking to address barriers to in-person care, governments and non-governmental
organizations (NGOs) globally have been pushing for scaling chat-or phone-based …

Limited resource allocation in a non-Markovian world: the case of maternal and child healthcare

P Danassis, S Verma, JA Killian, A Taneja… - arXiv preprint arXiv …, 2023 - arxiv.org
The success of many healthcare programs depends on participants' adherence. We
consider the problem of scheduling interventions in low resource settings (eg, placing timely …

Improving Health Information Access in the World's Largest Maternal Mobile Health Program via Bandit Algorithms

A Lalan, S Verma, PR Diaz, P Danassis… - Proceedings of the …, 2024 - ojs.aaai.org
Harnessing the wide-spread availability of cell phones, many nonprofits have launched
mobile health (mHealth) programs to deliver information via voice or text to beneficiaries in …