The Pre-ICON Mini-Symposium “Pathology Meets AI: Revolutionizing Diagnosis and Research” was held on September 24, 2026, at Indus Hospital & Health Network, Karachi, bringing together professionals from pathology, laboratory medicine, clinical specialties and research to explore how Artificial Intelligence is the need of the time how it has become a meaningful part of healthcare. Dr. Ibrahim Mansoor opened the scientific session by highlighting the growing applications of AI across laboratory and clinical teams, including systems that bring together clinical presentation, diagnosis, differential diagnosis, laboratory and radiology information to provide a more complete, real-time view of the patient. He emphasized that the strength of any AI model depends on the quality of its input data and highlighted the important role of clinicians in clinical data informatics, particularly in accurately defining and labelling clinical cases. Dr. Rauf Malick further reinforced this message by highlighting that accuracy alone does not make an AI model clinically trustworthy. Bias, data drift, context mismatch, local data, explainability and continuous monitoring all need to be considered when moving AI from validation to real-world clinical practice.

The discussion then moved closer to the realities of AI implementation at Indus Hospital & Health Network. Dr. Zaira Rehman provided a ground-level perspective, highlighting gaps in AI literacy, inconsistencies in clinical data, and the need for stronger infrastructure and preparedness. At the same time, she highlighted the opportunities within IHHN, including its digital patient records, multiple locations, diverse patient population, longitudinal data and strong clinical and pathology expertise. These resources provide a valuable foundation for developing and validating AI solutions that are relevant to our own healthcare setting. Her presentation outlined a practical three-stage approach, moving from foundational readiness, to local validation, and ultimately to integration into clinical workflows. This aligned closely with Dr. Rauf’s emphasis on responsible AI as a continuous process involving governance, local validation, deployment and ongoing monitoring.

The panel discussion was highly interactive and brought together different perspectives on the practical, ethical and clinical challenges of AI adoption. Dr. Ghazanfar Saleem shared real-world challenges from the Emergency Department and emphasized the importance of designing solutions around actual clinical needs and local data. Dr. Hana Arbab and Dr. Rauf Malick explored ethical considerations in depth, including the responsible use of anonymized patient data to develop models relevant to our population. A key message that emerged was that AI adoption is not a short-term project, but a long-term commitment requiring collaboration across disciplines. The participation of clinical departments, the Hospital Ethics Committee, and professionals from different institutions made the discussion particularly valuable and holistic.
The symposium left participants with an important message: successful AI in healthcare will depend not only on technology, but on strong data, clinical engagement, responsible governance and continuous collaboration—with the ultimate goal of improving patient care.