Article Text

Download PDFPDF
Quality, safety and artificial intelligence
  1. Tayana Soukup1,
  2. Bryony Dean Franklin2,3
  1. 1 Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK
  2. 2 Imperial College Healthcare NHS Trust, London, UK
  3. 3 UCL School of Pharmacy, London, UK
  1. Correspondence to Dr Tayana Soukup, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK; t.soukup{at}

Statistics from

Request Permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.

Healthcare quality and safety span multiple topics across the spectrum of academic and clinical disciplines. Keeping abreast of the rapidly growing body of work can be challenging. In this series, we provide succinct summaries of selected relevant studies published in the last several months. Some articles will focus on a particular theme, whereas others will highlight unique publications from high-impact medical journals.

Key points

  • Global perspectives from 881 artificial intelligence (AI) and cancer researchers into the future impact of AI on cancer care highlight AI’s potential to improve cancer grading, classification, diagnostic accuracy and follow-up, while also identifying significant barriers to its integration into clinical practice and the need for standardisation in cancer health data. Current Oncology, 16 March 2023.

  • Additional information (from human peers or AI) can have a strong influence on prescribing decisions made by intensive care doctors, particularly for AI recommendations, but the presence of an additional simple explanation did not significantly further increase adherence to AI suggestions. npj Digital Medicine, 7 November 2023.

  • A methodical approach to assessing and improving the safety of AI systems in a clinical setting is important, as demonstrated through a case study with the AI Clinician for sepsis, providing a concrete example of AI’s potential impact and the complexities involved in safely implementing AI in healthcare. BMJ Health & Care Informatics, 4 June 2022.

The future of artificial intelligence applications in cancer care

Current Oncology, 16 March 2023

This seminal study by Cabral et al 1 delves into the transformative potential of artificial intelligence (AI) in oncology, highlighting its pivotal role in enhancing healthcare quality and safety. The study aligns with the broader discourse on AI’s capacity to revolutionise healthcare outcomes, drawing from insights previously proposed on the synergy between human expertise and AI across various medical disciplines.2

The study’s goal was to explore future applications of …

View Full Text


  • Correction notice This article has been corrected since it was first published online. The correspondence address and funding statement have been updated.

  • Funding Infrastructure support for TS was provided by the National Institute for Health Research (NIHR) HealthTech Research Centre (HRC) In Vitro Diagnostics (IVD). BDF is supported by the NIHR North West London Patient Safety Research Collaboration.

  • Disclaimer The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care.

  • Competing interests TS received funding from Cancer Alliances and NHS England for training MDTs in assessment and quality improvement methods in the UK; and honoraria for public speaking from Parsek, and consultancy fees from Roche Diagnostics, Parsek and Salutare.

  • Provenance and peer review Not commissioned; internally peer reviewed.