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

Artificial Intelligence and Machine Learning

Abstract

Guest Editors Daniela Kamir and Shiri Diskin provide an introduction to this issue, whose theme Artificial Intelligence and Machine Learning.

We are in an era in which most people cannot imagine living without either computers or smartphones. We are well aware of how machine learning (ML) and artificial intelligence (AI) tools support our daily lives. And now, with their rapid development, medical writers can leverage these technologies to enhance productivity, quality, and innovation. The idea for a Medical Writing issue focusing on automation in medical writing arose about 2 years ago. This was quite a few months before ChatGPT became a household term, and the tool itself went swiftly into use with almost every copy-editing professional, every lawyer, and every person in any industry that uses text as their main tool of the trade. We were very interested in taking a snapshot of the landscape of tools that are currently available to medical writers and how they are being used.

Medical Writing. 2023;32(3):2–4. https://doi.org/10.56012/vrpa5453

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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
Unlocking new efficiencies: How structured content authoring is streamlining the production of clinical documents for the pharmaceutical industry
Can readers spot the AI impostor in healthcare writing?
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

Phil Leventhal

Manuscript Writing

Lisa Chamberlain-James

Medical Communications/Writing for Patients

Payal Bhatia

Medical Devices

Evguenia Alechine

My First Medical Writing

Anuradha Alahari

News from the EMA

Laura Kehoe

Out on Our Own

Tiziana von Bruchhausen

Pharmacovigilance

Clare ChangZuo Yen Lee 

Regulatory Matters

Sam Hamilton

Regulatory Public Disclosure

Claire Gudex

Teaching Medical Writing

Kimi Uegaki

The Crofter: Sustainable Communications

Louisa Marcombes

Veterinary Writing

Editors Emeritus

Elise Langdon-Neuner

Phil Leventhal

Layout Designer

Chris Monk