CUTTING_EDGE_RESEARCH_ON:

Equitable
Healthcare AI.

Investigating the intersection of Cutting-edge Technologies in Healthcare and Intersectionality Theory. Building frameworks for clinical transparency and systemic accountability.

EXPLORE_PROFILE ABOUT_RESEARCHER

SUBJECT_ID: TC_001

AUTH_LEVEL: RESEARCH_PHD

The_Researcher

Thiago Carneiro

I am a PhD Researcher at Royal Holloway, University of London, dedicated to analyzing the impact of emerging technologies on healthcare systems through a critical lens.

My research integrates Intersectionality Theory (Crenshaw, 1991) with Machine Learning to identify how socio-technical systems interact with complex human identities. I focus on developing audit frameworks that ensure healthcare AI serves all populations equitably.

GET IN TOUCH

Ongoing_Research

Deciphering systemic health tech.

Updated: Q1_2026

Intersectional AI

Applying intersectionality theory to audit healthcare algorithms for multi-dimensional biases.

>> LOAD_THEORY

Clinical Transparency

Developing frameworks for ML interpretability that prioritize patient trust and clinical safety.

>> EXECUTE_AUDIT

Emerging Health Tech

Evaluating the societal impact of decentralized health data and automated diagnosis tools.

>> MONITOR_IMPACT

Publications_Log

[DATABASE_INITIALIZED: WAITING_FOR_CONTENT_FETCH]

Thought_Transmissions

MAR_2026

Why Healthcare AI Needs Intersectionality

Exploring why single-axis auditing fails in complex medical environments.

FEB_2026

Speculative Clinical Futures

Designing human-centered automated clinics for marginalized communities.