New article argues outdated publishing is bottlenecking AI-driven medicine

Toronto — A new article released on April 6, 2026, argues that a paper-era publishing system is obstructing the promise of AI in health care. Titled “Our AI-Powered Discoveries Are Trapped in a Predigital System,” the News and Perspectives piece by JMIR correspondent Dr.

Boon-How Chew contends that the 17th-century infrastructure of scholarly communication has become a direct threat to data-driven medicine. Chew describes a widening gap between the speed at which AI can generate findings and the slow, linear process of formal validation.

While algorithms are accelerating diagnostics and drug discovery, he writes, traditional academic publishing remains a significant bottleneck shaped by economic and structural incentives that entrench access and equity problems. The article also scrutinizes the surge of AI “super-assistants” like Paperpal, Elicit, and ResearchRabbit.

These tools, Chew notes, help authors draft manuscripts faster but leave the end product static, non-interactive, and difficult to verify. “The black box of a clinical AI model cannot be built on the black box of a nonreproducible study,” he says. Chew’s analysis highlights several pressure points.

Top-tier research universities report annual subscription costs exceeding $10 to $15 million, while author processing charges can run from $5,000 to more than $11,000 per article.

He points to the reproducibility crisis — with estimates suggesting 50% to 90% of published findings are not reproducible across disciplines — and argues that narrative-heavy articles that decouple claims from underlying data make verification nearly impossible for complex AI models.

As a remedy, the piece calls for a shift toward enriched, dynamic research objects in which data, methods, analysis logs, and peer validation are structurally and permanently linked, embedding transparency and rigor by design. “The technology is almost here,” Chew adds.

“What is required now is the collective will to build, adopt, and apply a publishing model that is worthy of the future.”