New Study Evaluates AI Interpreting Accuracy Using Real Medical Audio and Industry Standard Benchmarks
Austin, TX – January 27, 2026 — Boostlingo released its AI Accuracy Study, an evaluation of how AI interpreting systems perform in real medical scenarios. The study applies established translation benchmarks to real-world medical audio to give customers a clearer way to assess AI interpreting accuracy.
AI interpreting adoption is accelerating across healthcare, but unlike machine translation, the industry lacks widely accepted standards for measuring accuracy. Buyers are often left to rely on demos, anecdotes, or unreliable scores that do not reflect real-world conditions.
Boostlingo’s study was designed to address that gap.
“We wanted to move beyond demos and show what accuracy actually looks like in practice,” said Zac Bolton, Senior Machine Learning Engineer at Boostlingo and author of the study. “That means testing real medical conversations, scoring against expert human references, and using multiple metrics so no single number hides meaningful errors.”
The study evaluated two Boostlingo AI interpreting pipelines and compared them against a leading open-source model and a leading commercial system. Testing included real and staged medical audio with background noise, interruptions, and disfluencies common in healthcare environments.
Each system was evaluated using three industry-standard machine translation metrics. Using multiple metrics made it possible to identify consistent quality patterns and reduce reliance on any single score.
Across all metrics, Boostlingo’s AI interpreting systems outperformed both the open source baseline and the commercial competitor. Results were consistent across language directions and held up under real-world audio conditions.
The study also includes failure examples to show where AI interpreting can break down, even when average scores appear strong. In healthcare, small omissions or incorrect details can have serious consequences.
“This study is not about claiming AI has solved medical interpreting,” said Brian D’Agostino, Chief Product Officer at Boostlingo. “It is about creating a clearer standard for how AI interpreting accuracy should be measured, and giving customers evidence they can use to decide when AI fits responsibly and when human interpreters remain essential.”
Boostlingo views this study as a first step toward a practical industry standard for AI interpreting accuracy. By publishing its methodology, results, and limitations, the company aims to support more transparent evaluation and better buying decisions.
The full AI Interpreting in Medically Complex Scenarios study is available at boostlingo.com.
About Boostlingo
Boostlingo builds technology that helps businesses connect across languages. Based in Austin, TX, we serve more than 3,000 organizations with interpreting, translation, multilingual events, and interpreter management solutions. Our AI-powered platform helps every organization reach the right language professional or service when they need it.
For more information, visit https://boostlingo.com.
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