Blog

The Nabla engineering team discusses machine learning, software, UX, and healthcare infrastructure.

Assessing the reliability of Nabla’s speech-to-text engine

How Nabla improves over Whisper by being robust to specific hallucinations discovered in a recent study.

Martin Raison

Martin Raison

2 min read

How Nabla uses Whisper

An overview of how Nabla builds on Whisper speech-to-text models to help clinicians create more precise and accurate medical notes.

Martin Raison

Martin Raison

4 min read

knownwell leverages Nabla's athenahealth integration to enhance patient care

Knownwell leverages Nabla’s integration with athenahealth to streamline clinical documentation and enable more personalized patient interactions in weight management care.

Charlie Marchal

Charlie Marchal

4 min read

Successfully piloting ambient AI for clinical documentation

We've identified the 7 key actions taken by the organizations who successfully piloted and rolled out Nabla.

Christina Schaupp

Christina Schaupp

6 min read

Generative AI in the EHR: Powering NextGen® Ambient Assist & restoring clinician well-being

The case of the Nabla - NextGen® Mobile integration

Kenza Bouzoubaa

Kenza Bouzoubaa

7 min read

From discovery to organization-wide deployment: how Mankato Clinic chose Nabla

We interview Mankato Clinic’s CMO, Dr Andrew Lundquist, to learn more about what their journey has been with ambient AI implementation.

Margaux Benoit

Margaux Benoit

8 min read

Announcing Our $24M Series B Funding Round

We are thrilled to announce we’ve raised $24M in Series B funding. Fresh off the launch of Nabla just this past March, this is a major milestone for our company, and a signal to the market that AI is truly capable of helping solve the major challenges healthcare systems face everywhere in the world.

Alexandre Lebrun

Alexandre Lebrun

2 min read

AI in Healthcare: The Explainability Dilemma

On December 18 2023, Eric Topol and Yann LeCun joined Alexandre Lebrun, CEO of Nabla, for a live discussion on the AI explainability dilemma in healthcare. This post is a summary of their conversation.

Julie Cassan

Julie Cassan

6 min read

Happy healing time: Navigating holiday rest for physicians

Dr. Myrdalis Díaz-Ramírez discusses physician burnout symptoms, shares advice on how to reignite joy in medicine, and more

Kenza Bouzoubaa

Kenza Bouzoubaa

7 min read

Evaluating medical note generation

How at Nabla we put a number on the quality of our medical notes

Ruben Stern

Ruben Stern

11 min read

AI medical scribes: Understanding who's out there

Everything you need to know about us and our fellow AI scribes

Delphine Groll

Delphine Groll

6 min read

How we built the best speech-to-text engine for medical encounters

Training machines to decipher medical jargon is no picnic. But we did it – and here's how.

Ruben Stern

Ruben Stern

8 min read

10 ways clinicians use an AI medical scribe

10 Clinicians Reveal the Impact of Nabla, an AI medical scribe, on their practice

Clément Baudelaire

Clément Baudelaire

6 min read

All you need to know about Nabla's privacy and security features

We break down every privacy and security feature of Nabla for you.

Clément Baudelaire

Clément Baudelaire

5 min read

Can large fine-tuned language models imitate doctors?

Cedille is a huge language model for French. It's able to understand and write text. In this experiment we will try to make it "understand" questions from patients and generate a doctors' answer.

Maxime Lewandowski

Maxime Lewandowski

15 min read

Doctor GPT-3: hype or reality?

Our unique multidisciplinary team of doctors and machine learning engineers at Nabla had the chance to test this new model to tease apart what’s real and what’s hype in terms of different healthcare use cases.

Kevin Riera

Kevin Riera

9 min read