Healthcare AI, GenAI, Medical Imaging

Prateek
Mittal

AI Decision Science AnalystHealthcare AI ResearcherFounder, FEAIHM.Sc. Data Science and AI

I build production AI systems for healthcare and study how to make them clinically responsible.

AI Decision Science Analyst at Accenture with experience across diagnostic AI, GenAI and RAG systems, OCR automation, medical imaging research, and healthcare AI governance.

View ResearchGet in Touch
Prateek Mittal
Prateek MittalHealthcare AI
FEAIH Founder
About

Healthcare AI work that connects research, products, and governance.

I am an AI Decision Science Analyst at Accenture, working across decision science, GenAI, analytics, and AI-led transformation use cases. My practical focus is healthcare and life sciences AI, especially systems that move from prototype to real operational workflows.

Previously at Dr. Lal PathLabs, I built patient-facing GenAI systems, RAG workflows, OCR and document intelligence automation, compliance verification, demand forecasting, MIS automation, and diagnostic interpretation pipelines.

At VEDAs Lab, I contribute to multi-institution medical AI research across microscopy, ultrasound, retinal imaging, neuroimaging, robust machine learning, and reproducible evaluation workflows.

I founded the Foundation for Ethical AI in Healthcare to support evidence-based, clinically responsible AI adoption through research, policy dialogue, standards, and community engagement.

Focus Areas

What I work on.

A practical mix of healthcare AI engineering, medical AI research, and responsible deployment.

+

Production GenAI and RAG

RAG assistants, multilingual patient support, knowledge retrieval, evaluation workflows, and lead-aware healthcare communication systems.

+

Medical Imaging AI

Research and implementation across microscopy, ultrasound, retinal imaging, neuroimaging, segmentation, multimodal learning, and model evaluation.

+

Document Intelligence

OCR preprocessing, Azure Document Intelligence, structured extraction, compliance verification, and workflow automation for diagnostic operations.

+

Healthcare AI Governance

Responsible AI adoption, standards, policy dialogue, clinical validation, safety, accountability, and evidence-based deployment in healthcare.

Experience

Recent roles.

Jun 2026 - Present
Accenture

Ind and Func AI Decision Science Analyst

Working with AI and Data, Strategy and Consulting teams on decision science, GenAI, analytics, and AI-led transformation use cases for enterprise clients.

Jun 2024 - Jun 2026
Dr. Lal PathLabs

Data Scientist, Assistant Manager

Built production healthcare AI systems across GenAI support, RAG assistants, OCR automation, compliance verification APIs, MIS reporting, forecasting, and diagnostic interpretation workflows.

Jan 2024 - Present
VEDAs Lab

Lab Coordinator and Research Assistant

Contributing to multi-institution medical AI research across microscopy, ultrasound, retinal imaging, neuroimaging, robust ML, retrieval systems, and reproducible evaluation pipelines.

2023
Yale University

Research Associate

Contributed to BrainLM, a foundation model trained on 6,700 hours of fMRI recordings for cognition and behaviour decoding from brain activity.

Selected AI Systems

Things I have built.

Production and research systems from the resume, structured so more projects can be added from the content file.

GenAI

Patient Support Bot

Multilingual GenAI and RAG support across web and patient app channels, handling 3,000+ patient interactions per day and generating about 400 leads per day.

Learn more
RAG

Doctor WhatsApp Assistant

Doctor-facing RAG assistant with lead capture and centralized sales app tracking for improved query coverage and end-to-end visibility.

Learn more
OCR

Form 16A Automation

Azure Document Intelligence and preprocessing pipeline processing 500+ forms per month and reducing manual effort by 20+ hours per month.

Learn more
Diagnostics

Unified Health Score

Patient-level diagnostic interpretation framework using reference intervals, Mahalanobis distance, percentile scoring, lifestyle scoring, consistency checks, and adaptive weighting.

Learn more
Governance

Foundation for Ethical AI in Healthcare

A Section 8 healthcare AI initiative focused on ethical, evidence-based, and clinically responsible AI adoption.

Learn more
Publications

Papers and research output.

Each entry supports a title, authors, venue, year, summary, link, and image path for future paper cards.

TMLR
2026 / TMLR

Accepted first-author paper in Transactions on Machine Learning Research

Prateek Mittal et al.

Research contribution in robust machine learning and high-dimensional data analysis. Add the final title, DOI, PDF, and project image when public.

MICCAI
2026 / MICCAI

Spheroid microscopy inverse protocol prediction

Prateek Mittal et al.

First/equal-first author work on medical microscopy and inverse protocol prediction for spheroid experiments.

ICLR
2024 / ICLR

BrainLM

Contributing co-author

Foundation model work using 6,700 hours of fMRI recordings to support brain activity representation learning and cognition decoding.

Writing

Notes and essays.

A blog-ready section for healthcare AI essays, project notes, and publication explainers.

Article
Coming soon

How to evaluate healthcare AI before deployment

A practical note on clinical validation, monitoring, accountability, and why benchmark accuracy is not enough for patient-facing AI.

Draft planned
Article
Coming soon

RAG systems in diagnostic workflows

Lessons from building retrieval and GenAI systems for doctors, patients, operations, and compliance-heavy healthcare environments.

Draft planned
Article
Coming soon

Responsible AI standards for Indian healthcare

Notes on evidence, safety, fairness, and governance infrastructure for AI adoption across healthcare providers and public health settings.

Draft planned
Contact

For research, healthcare AI, and responsible deployment conversations.

I am open to research collaborations, healthcare AI discussions, responsible AI policy work, and conversations with teams building clinically useful AI systems.

Emailprateekmittal154@gmail.comFEAIH Emailprateek@feaih.orgLinkedIn/in/prateek-mittal-2002GitHub/prateekmittal154