Digital Oncology

Artificial Intelligence in Pathology (AIPATH)

The purpose of the Artificial Intelligence in Pathology (AIPATH) IWG is to enable applications of AI in Pathology at every step of journey of tissue - from laboratory workflow viz. sample acquisition, processing to offering diagnosis, determining prognosis, predictive analytics and analysing, integrating enormous & complex datasets across various diagnostic divisions of pathology.

Objective & Scope

Adoption of digital pathology (DP) and AI applications in Oncopathology for improved patient outcomes in cancer care, education, training of the workforce and translational research

We aim to:

  1. To seamlessly integrate state-of-the-art DP technologies into cancer care

  2. To foster collaboration, innovation, and responsible implementation of digital solutions in Oncopathology

  3. To create and facilitate awareness, impart education about adoption of DP and AI applications in Oncopathology

Initial Leadership Team –

  1. Co-Lead 1: Dr Sangeeta Desai

  2. Co-Lead 2 : Dr Rajiv Kaushal

  3. Term for the Co-Chairs would be 2 Years, but the board can decide to an extended term for multi-year projects

  4. Additional advisors will be finalized post board review

Stakeholder Ecosystem

Open Membership

  • Clinicians

  • Hospital Informatics Leads

  • EMR Providers

  • Researchers & AI Scientists

  • Government Agencies

Core Members

  • Dr. Omshree Shetty – Scientific Officer, Molecular Pathology, Tata Memorial Hospital, Mumbai

  • Dr. Gurudatt Gupta – Head, Pathology, RGICRC, New Delhi

  • Dr. Anila Sharma – Senior Consultant, RGICRC, New Delhi

  • Dr. Paromita Roy – Senior Consultant & Head, Pathology, Tata Medical Center, Kolkata

  • Dr. Sangeetha Nayanar – Professor, Pathology, Malabar Cancer Centre, Kerala

  • Dr. Kirti Chadha – Chief Scientific & Innovation Officer & Chief Oncopathologist, Metropolis Healthcare Ltd

Subject Matter Experts (by invitation)

  • Dr. Ujjwal Baid – Director of Research, Emory University, Atlanta, USA

  • Ms. Anuradha Dihingia – Manager, Partnering & AI Pathology Lab Division, Roche Diagnostics India Pvt. Ltd

Membership Directory

  • Core Members: Oncologists, digital health specialists, health informatics experts

  • Advisors: National registry leaders, global standards experts, patient advocates

  • Support Roles: Data analysts, project managers, communications

Planned Activities

Short-Term (0–12 months)

  • Collaborate with 3 pathology departments (digital pathology–ready) for pilot projects

  • Develop algorithms for 2 common cancer types and/or workflow integration across pathology divisions

Medium-Term (12–24 months)

  • Implement pilots across 3 departments

  • Publish early findings and recommendations Long-Term (3–5 years)

  • Build a scalable model adopted by at least 5 institutions

  • Expand through international collaborations and global standards alignment