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AI for detecting paper mill papers
An important step towards improving research integrity Paper mills are a systemic threat to research integrity, contaminating the evidence, influencing citations, and potentially affecting clinical de …
A comprehensive public health approach is needed to study the impact of digital technology on health
Barely a day goes by without media and political concern about the impact of digital technology on health, particularly among young people. The publication of a recent government report, “Understandin …
Ask the editor: 60 seconds with Dr Felix Holl
BMJ Group recently launched BMJ Connections Digital Health & AI, an open-access journal that sits alongside BMJ Digital Health & AI.  Both journals publish original research, but the Connections journ …
Ask our Chief Technology Officer: Ian Mulvany
Ian Mulvany, chief technology officer at BMJ Group, is convinced that AI will transform processes related to the creation of knowledge, particularly academic papers. Wiley on AI recently interviewed M …
Ask our researcher: Fiona Mckenzie on the unexpected drivers of innovation
Original Research: Facilitating innovation in healthcare: insights from the front-line of adoption. A recent study published in BMJ Innovations examined the factors that drive the adoption and scaling …
Artificial intelligence and global health equity
A review of AI based clinical algorithms found that over 50% were trained on datasets from the US and China. What does this mean for their adoption in other countries? How do AI algorithms accentuate …
Artificial intelligence after the bedside

Artificial intelligence after the bedside

BMJ Health & Care Informatics
Patient experience is a key indicator of healthcare quality and safety, reflected in performance frameworks like the Quadruple Aim. Improved patient experience is linked to positive safety outcomes ac …
Artificial intelligence in healthcare

Artificial intelligence in healthcare

BMJ Health & Care Informatics
To what extent can we, and should we, integrate artificial intelligence in the clinical diagnostic process? The authors here appraise the use of AI and NLP algorithms to enhance and inform decision ma …