Medical Writing Artificial intelligence and Digital Health Embracing a new friendship: Artificial intelligence and medical writers

Volume 28, Issue 4 - Artificial intelligence and Digital Health

Embracing a new friendship: Artificial intelligence and medical writers


Artificial Intelligence (AI) and machine learning-driven software are evolving toward a technological advancement revolutionising the current global, social, and economic landscape. A major breakthrough in AI is the fast-growing natural language processing– based tools, where millions of euros are being invested in the development of software packages that automatically, and accurately, generate text. The impact of this technology in medical writing is immense. Will we be out of a job in the near future? In an optimistic (and perhaps realistic) point of view, one can argue in favour of a friendly interaction between medical writers and machines, with major advantages for the craft of medical writing.

Download the full article


  1. Pesapane F, Codari M, Sardanelli F. Artificial Intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. Eur Radiol Exp. 2018;2(1):35.
  2. US FDA. Proposed Regulatory Framework for Modifications to Artificial Intelligence/ Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) – Discussion Paper and Request for Feedback. [cited 2019 Aug 31]. Available from: Available from: download
  3. Sennaar K. AI in pharma and biomedicine – analysis of the top 5 global drug companies. Emerj. 2019 [cited 2019 Aug 31]. Available from: Available from: ai-in-pharma-and-biomedicine/
  4. Bulgaru I. Pharma industry in the age of artificial intelligence: The future is bright. Healthcare Weekly. 2019 [cited 2019 Aug 31]. Available from: Available from: in-pharmacology/
  5. Jiang F, Jiang Y, Zhi H, et al. Artificial intelligence in healthcare: past, present and future. Stroke Vasc Neurol. 2017;2(4):230– 43.
  6. Rocher L, Hendrickx J, de Montjoye Y. Estimating the success of re-identification in incomplete datasets using generative models. Nat Commun. 2019;10(1):3069.
  7. Sennaar, K. AI and machine learning for clinical trials – Examining 3 current applications. Emerj. 2019 [cited 2019 Aug 29]. Available from: Available from: ai-sector-overviews/ai-machine-learningclinical- trials-examining-x-currentapplications
  8. Fassbender M. Sanofi: NLP text mining and other AI tech to advance findings, improve data use. Outsourcing – 2019 [cited 2019 Aug 31]. Available from: Available from: Article/2019/01/30/Sanofi-NLP-textmining- and-other-AI-tech-to- advancefindings- improve-data-use
  9. Velupillai S, Suominen H, Liakata M, et al. Using clinical natural language processing for health outcomes research: Overview and actionable suggestions for future advances. J Biomed Inform. 2018;88:11–9.



Table of Contents
Artificial intelligence and digital health
President's Message
Medical writing in the era of artificial intelligence
Blockchain in healthcare, research, and scientific publishing
Embracing a new friendship: Artificial intelligence and medical writers
Drug development and medical writing in the digital world
Intelligent use of artificial intelligence for systematic reviews of medical devices
What medical writers need to know about regulatory approval of mobile health and digital healthcare devices
Digitalisation in long-term care: An issue for medical writers?
An introduction to medical affairs for medical writers
A primer on anonymisation
Sound, microphone, action: Podcasts for medical writers
Regulatory Matters
News from the EMA
Lingua Franca and Beyond
In the Bookstores
Getting Your Foot in the Door
Medical Devices
Veterinary Medical Writing
Teaching Medical Writing
Journal Watch
Medical Communications and Writing for Patients
Good Writing Practice
Out on Our Own
Upcoming issues of Medical Writing

Member Login


The Write Stuff Archive Contact Instructions for Authors Feature Article Template (Word) Journal Policies

Editoral Board



Managing Editor

show all +

Associate Editors:

Section Editors:

Ad-hoc Editors:

  • Amy Whereat (SpeaktheSpeech Consulting, Asnieres sur Seine, France)

Editor Emeritus: