Medical Writing Artificial Intelligence and Machine Learning Digital Communication
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Volume 32, Issue 3 - Artificial Intelligence and Machine Learning

Digital Communication

Abstract

Embracing artificial intelligence in medical writing: A new era of efficiency and collaboration

Authors:  Sofie Bergstrand, Catherine Heddle, Montse Sabaté, Marta Mas

Section Editor: Nicole Bezuidenhout

Artificial intelligence (AI) tools have already shown great promise in improving the workflows of key tasks and processes within medical writing, freeing up time for us humans to focus on those unique abilities AI cannot replace…yet. At the top of the list are critical thinking, analytical skills, emotional intelligence, and creativity. More than that, we can harness those abilities to collaborate in multidisciplinary, international teams to create innovative and apt solutions – an integral part of our daily work as medical writers, particularly in joint tasks such as co-authoring. Indeed, digital collaboration tools for project teams are abundant (e.g., Google Suites, Asana, and Microsoft Teams) and have transformed the way we work, especially now that remote work has become the norm. Nevertheless, collaborative technology using AI appears to be lagging slightly behind in the new wave of AI tools suitable for medical writing. With the application of emerging technologies and AI on the rise, the potential for automating the collaborative medical writing experience looks promising.

Medical Writing. 2023;32(3):82–87. https://doi.org/10.56012/iamc1709

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Articles

Artificial Intelligence and Machine Learning
From the Editor
President's Message
EMWA News
Regulatory initiatives for artificial intelligence applications: Regulatory writing implications
Digital tools for the clinical evaluation of medical devices: A guide to empower regulatory writers
AI language models are transforming the medical writing space – like it or not!
Narratives for a clinical study report: The evolution of automation and artificial intelligence
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Essential principles towards improving clinical risk assessment tools: A conversation with Uri Kartoun, PhD
AI-based plagiarism detectors: Plagiarism fighters or makers?
A survey on current use of software tools for systematic literature reviews
Writing reports of modelling and simulation analysis: Our experience in the field of pharmacometrics
AI for medical writers: Friend or foe?
Introducing EMWA’s new AI Working Group
Diversity in clinical trials: It takes a village
News from the EMA
Digital Communication
Medical Communications and Writing for Patients
Good Writing Practice
Regulatory Public Disclosure
Regulatory Matters
Getting Your Foot in the Door
The Crofter: Sustainable Communications

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Editoral Board

Editor-in-Chief

Raquel Billiones

Co-Editors

Evguenia Alechine

Jonathan Pitt

Managing Editor

Victoria White

Associate Editors

Anuradha Alahari

Jennifer Bell

Nicole Bezuidenhout

Claire Chang

Barbara Grossman

Sarah Milner

John Plant

Sampoorna Rappaz

Amy Whereat

Section Editors

Daniela Kamir

AI/Automation

Jennifer Bell

Biotechnology

Nicole Bezuidenhout 

Digital Communication

Somsuvro Basu

EMWA News 

Ana Sofia Correia 

Gained in Translation

Ivana Turek

Getting Your Foot in the Door

Wendy Kingdom / Amy Whereat

Good Writing Practice

Alison McIntosh 

In the Bookstores

Maria Kołtowska-Häggström

Lingua Franca and Beyond

Maddy Dyer

Publications

Lisa Chamberlain-James

Medical Communications/Writing for Patients

Payal Bhatia

Medical Devices

Evguenia Alechine

My First Medical Writing

Anuradha Alahari

News from the EMA

Adriana Rocha

Freelancing

Tiziana von Bruchhausen

Pharmacovigilance

Clare ChangZuo Yen Lee 

Regulatory Matters

Sam Hamilton

Regulatory Public Disclosure

Claire Gudex

Teaching Medical Writing

Louisa Ludwig-Begall / Sarah Kabani

The Crofter: Sustainable Communications

Louisa Marcombes

Veterinary Writing

Editors Emeritus

Elise Langdon-Neuner

Phil Leventhal

Layout Designer

Chris Monk