BMJ Future Health
July 2025

We shape an efficient, equitable, and sustainable future of health. Our mission: scale evidence-based digital health transformation, bridging the gap between research and clinical impact. We gather clinicians, leaders, and industry partners from across the world to share what works. 

This month: Discover how artificial intelligence (AI) can help diagnose heart attacks, meet our expert advisory committee, and explore upcoming digital health webinars.

Community Spotlight:
Meet Our 2025 Advisory Committee

Our advisory committee brings leading minds from across healthcare: clinicians, academics, investors, and industry leaders dedicated to advancing digital health. It represents diverse organisations, including Microsoft, UCL Partners, Imperial College Healthcare, the NHS (various bodies), Oxford University Clinical Research Unit, The Health Foundation, UK Research and Innovation, YouTube Health, and many more. Their collective wisdom ensures we tackle the most pressing challenges and opportunities in digital health at our London event on 6 - 7 November 2025. Thank you to everyone involved.

Ask Our Editor: Chris Paton on
AI for Myocardial Infarction

 

Original Research: "Establishment and validation of an artificial intelligence-based system for identifying the culprit vessel in patients with ST-segment elevated myocardial infarction: the ALERT study". 

This study established and validated an AI-based algorithm (Res-LSTM). The system identifies culprit vessels using 12-lead ECGs, performing comparably to experienced cardiologists. This AI system enhances rapid decision-making in emergencies, reduces misidentification of culprit vessels, shortens patient delays, and ultimately improves patient outcomes, especially in resource-limited areas. 

Chris Paton, Editor-in-Chief at BMJ Digital Health & AI, answers your questions:

  • Why should readers care about this paper?
    This study shows the potential of AI systems to help with practical healthcare problems such as helping with the identification of culprit vessels based on ECG readings.
  • Limitations of this technology?
    This study was based on retrospective data sets for a particular population in China. More studies are needed to show broad generalisability across populations.
  • Next steps?
    The next steps for developing this type of technology include validation on more diverse data sets, retraining or fine tuning the model on wider populations, and conducting prospective trials for definitive clinical validation.

From Across The BMJ Group

Here's a look at some of the latest from the BMJ Group:

Features, analysis & editorials

Research

Open Call For Digital Health And AI Papers

Explore our calls for papers. 

Webinar Sponsored by Learner+: 
AI/Reflective Practice – Help Or Hindrance?

Kieran Walsh, Clinical Director at BMJ Digital Health, moderated this webinar, featuring Niraj Swami, CEO at Learner+, and Dr Osama Suwar, Clinical AI Fellow at Health Innovation Network, Kent, Surrey and Sussex. 

The speakers considered potential sacrifices when automation and efficiency become the focus, particularly if human connection diminishes. Swami shared an anecdote about an orthopaedic surgeon who, receiving a ChatGPT response, retorted, "Don't ChatGPT me," highlighting clinicians' preference for genuine human interaction as AI becomes commonplace. 

To catch up, the recording is here. 

Join Us For Upcoming Webinars:

Bridging the Digital Literacy Gap on Friday, 25 July 2025 from 12:00 - 13:00 BST, and Adopting generative AI in daily clinical practice on Friday, 29 August from 12:00 - 13:00

DID WE MISS ANYTHING?
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