Tech That Scales: A Practical Framework for Artificial Intelligence-Enabled Cancer Care in Low- and Middle-Income Countries and Underserved US Counties.

Arturo Loaiza-Bonilla^1,2,3, Partha Basu⁴, Eric Lucas⁴, Connor Yost⁵, Sanjeev Arora⁶

¹St Luke's University Health Network, Bethlehem, PA.

²Massive Bio, Inc, New York, NY.

³Lewis Katz School of Medicine at Temple University, Philadelphia, PA.

⁴International Agency for Research on Cancer (IARC), Lyon, France.

⁵Creighton University School of Medicine, Phoenix, AZ.

⁶Project ECHO, Albuquerque, NM.

PubMed DOI

Abstract

Cancer outcomes remain starkly unequal: 5-year survival rates for common malignancies in low- and middle-income countries (LMICs) often lag 20-40 percentage points behind high-income benchmarks, and similar disparities persist between well-resourced metropolitan centers and rural or safety-net settings within high-income countries. The gap is driven less by the absence of effective interventions t…

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