At least a dozen sessions at Executive Walk College in 2025 investigated the use of artificial intelligence in clinical labs
Although not explicitly stated, it was clear at Executive Walk College on Diagnosis, Clinical Laboratory and Pathology Management Conferences in 2025 that artificial intelligence should be a path forward to controlling costs in an unfavourable economic environment.
Although this technology has hardly been proven in clinical laboratory settings, the possibilities of artificial intelligence (AI) in the laboratory are well-reliable reasons why laboratory leaders explore it further.
During a general session at Executive Walk College, Sam Terese, CEO and President of Alverno Laboratories, said: “It really resonates with the need to use AI in the future.”
The clinical laboratory leader advised that he advised Sam Terese, CEO and President of Alverno Laboratories (above). Terese spoke at Executive Walk College in 2025. (Photo copyright: labx.)
“There’s not much trust” about AI from patients
Terese admitted that the patients were not yet used to the technology. “When you throw AI and healthcare together, it’s not very reliable from the public’s perspective,” he said.
That said, Alverno is working to increase the use of AI in clinical laboratories in 2025.
Terese urged lab owners and executives not to underestimate how quickly AI adoption will spread within the clinical lab industry. Digital pathology has now been in its half a century and has evolved to what it is today, but “AI took five years. The timeline is moving rapidly,” he observed.
Don’t move forward blindly with AI, experts warn
At least a dozen sessions at Executive Walk College this week addressed the AI aspects of LABS.
In one session, we explored the ideas of AI to provide predictive tools for anatomical pathologists. If clinical laboratory experts focus strongly on the risk of AI replacing human work, Matthew Secchini, MD, a pathologist at Western University of Ontario, Canada, said he missed the possibility of the technology to serve as an assistant. “We really feel that we need to engage with AI,” he pointed out.
Lab leaders need to advise staff to use AI in systems or processes that can withstand mistakes, Cecchini added.
“I treat AI like an avid intern.
Presenter Dr. Ankit Ranjan, founder of AI Company Sample Healthcare, agreed to the sentiment. He suggested that the clinical laboratory should consider the AI as a co-pilot until the algorithm can prove to lab staff that the conclusion or prediction is accurate. The long game of AI in the lab is to act as a revenue driver instead of cutting a small number of staff off the budget.
“Inserting AI into an end-to-end process is something that really addresses the problem,” Ranjan said.
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– Scott Wallask
