Skip To Main Content
John Glaser on Muck Rack

John Glaser

As seen in: Power Problems, Apple Podcasts, CNN, The New York Times, Daily Mail, Forbes, HuffPost, The Guardian, The Washington Post, TIME, Yahoo News and
used to think at a tank
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with John

Contact John, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Healthcare Uses Specialized Language. It Needs Specialized AI, Too.

|
By Amber Nigam, John Glaser
| Harvard Business Review Verified
by Amber Nigam and John Glaser March 11, 2026 Healthcare has always struggled with translation. Not between English and other languages but between the dialects spoken by different corners of the industry. Radiologists write in precise measurements. Psychiatrists craft narrative assessments. Oncologists think in probabilities and protocols.
Open in Who Shared Issue with article?

¿Su empresa debería utilizar un modelo de IA generalista o especializado?

|
By Amber Nigam, John Glaser
| Infobae Verified
La sabiduría predominante en inteligencia artificial sugiere que los modelos más grandes ofrecen mejores resultados. En nuestro trabajo para compañías de seguros de salud y administradores externos de planes de salud, hemos descubierto que esta suposición se sostiene en muchos casos, pero se desmorona cuando la IA pasa de tareas generales a dominios profesionales especializados.
Open in Who Shared View Duplicates (2) Issue with article?

Should Your Business Use a Generalist or Specialized AI Model?

|
By John Glaser
| Harvard Business Review Verified
By The prevailing wisdom in artificial intelligence suggests that bigger models yield better results. In our work for health insurance companies and third-party administrators of health plans, we've discovered that this assumption holds in many cases but breaks down when AI moves from general tasks to specialized professional domains.
Open in Who Shared Issue with article?
See all 369 licensed articles (380 Total)