Ankush Patel, MD

United States

A love for pathology, informatics, and AI coupled with an inextinguishable drive to illustrate the multi-dimensional landscape of medicine today so that these blueprints may serve to navigate the world of tomorrow.


[laboratorylink.com ** coming soon]

Consulting Inquiries:
DIGITALPATHOMICS88 LLC
[email protected]

Specializing in:
*AI-driven diagnostics: informatics, digital integration, and personalized medicine
*Research and Development: laboratory-developed tests, study design, and regulatory compliance
*Strategic advisory and Communication: strategic healthcare innovation and market positioning, scientific communication and stakeholder engagement

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Portfolio

Field Leadership & Special Projects

Journal of Histotechnology
01/01/2025
Lead Guest Editor

Guidelines, best practices, and standardization in digital pathology: special issue

International Society for Computational Biology
05/13/2024
Chief Director

Conference Special Session: University of Pittsburgh, May 13-16

Peer-Reviewed Publications

Nature
06/12/2024
A Multimodal Generative AI Copilot for Human Pathology - Nature

The field of computational pathology[1,2] has witnessed remarkable progress in the development of both task-specific predictive models and task-agnostic self-supervised vision encoders[3,4]. However, despite the explosive growth of generative artificial intelligence (AI), there has been limited study on building general purpose, multimodal AI assistants and copilots[5] tailored to pathology.

JPI
Types and frequency of whole slide imaging scan failures in a clinical high throughput digital...

Digital workflow transformation continues to sweep throughout a diversity of pathology departments spanning the globe following catalyzation of whole slide imaging (WSI) adoption by the SARS-CoV-2 (COVID-19) pandemic. The utility of WSI for a litany of use cases including primary diagnosis has been emphasized during this period, with WSI scanning devices gaining the approval of healthcare regulatory bodies and practitioners alike for clinical applications following extensive validatory efforts.

MDPI
The Crucial Role of Interdisciplinary Conferences in Advancing Explainable AI in Healthcare

As artificial intelligence (AI) integrates within the intersecting domains of healthcare and computational biology, developing interpretable models tailored to medical contexts is met with significant challenges. Explainable AI (XAI) is vital for fostering trust and enabling effective use of AI in healthcare, particularly in image-based specialties such as pathology and radiology where adjunctive AI solutions for diagnostic image analysis are increasingly utilized.

Presentations, mixed media

Science Writing