Implementing AI in workflows: One step at a time

Implementing AI in workflows: One step at a time

Implementing AI in workflows: One step at a time

https://www.clinicaltrialsarena.com/features/implementing-ai-in-workflows-one-step-at-a-time/

Publish Date: 2026-05-12 11:21:00

Source Domain: www.clinicaltrialsarena.com

Experts gathered at the OCT Europe 2026 conference to discuss current difficulties faced by the industry, with a focus on how these can be overcome with novel technologies. Image credit: Athanasios Psimadis / Arena International.

Artificial Intelligence (AI) is increasingly framed as a transformative tool that can address inefficiencies across therapeutic research and development (R&D). However, upgrading its use beyond disparate pilots, while noting potential patient concerns, remains a key challenge.

With an abundance of AI-based solutions entering the market, industry experts at the Outsourcing in Clinical Trials Europe 2026 Conference shared insights into how these technologies are being embedded in existing workflows, from accelerating drug discovery to optimising day-to-day operations.

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Currently, AI-integrated workflows are centred on a human-in-the-loop approach, whereby a human reviews each step of the process, said Piotr Maślak, senior director and head of emerging technologies at AstraZeneca. The goal is to progress to a human-on-the-loop strategy, in which a workflow is supervised by a human rather than having them assess every output, he added. The credibility of AI-based tools is central to this evolution towards a more automated process, says Maślak.

The “real” applications of AI in clinical trials include…

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