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Image annotation and curation in radiology: an overview for machine learning practitioners
“Garbage in, garbage out” summarises well the importance of high-quality data in machine learning and artificial intelligence. All data used to train...
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From ‘Consent or Anonymise’ to ‘Share and Protect’: Facilitating Access to Surplus Tissue for Research Whilst Safeguarding Donor Interests
There is significant research value in the secondary use of surplus human tissue which has been removed during clinical care and is stored in...
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A deterministic approach for protecting privacy in sensitive personal data
BackgroundData privacy is one of the biggest challenges for any organisation which processes personal data, especially in the area of medical...
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Advancing data science in drug development through an innovative computational framework for data sharing and statistical analysis
BackgroundNovartis and the University of Oxford’s Big Data Institute (BDI) have established a research alliance with the aim to improve health care...
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PyFaceWipe: a new defacing tool for almost any MRI contrast
Rationale and objectivesDefacing research MRI brain scans is often a mandatory step. With current defacing software, there are issues with Windows...
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A 10-year update to the principles for clinical trial data sharing by pharmaceutical companies: perspectives based on a decade of literature and policies
Data sharing is essential for promoting scientific discoveries and informed decision-making in clinical practice. In 2013, PhRMA/EFPIA recognised the...
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Prevalence of vestibular disease in France: analysis of prescription data from a national health insurance database
Vestibular problems are frequent reasons for primary care consultations. However, there is considerable uncertainty about the prevalence and cost of...
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Mitigating SUV uncertainties using total body PET imaging
PurposeStandardised uptake values (SUV) are commonly used to quantify 18 F-FDG lesion uptake. However, SUVs may suffer from several uncertainties and...
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MAIC–10 brief quality checklist for publications using artificial intelligence and medical images
The use of artificial intelligence (AI) with medical images to solve clinical problems is becoming increasingly common, and the development of new AI...
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The risk of hospitalisation from RSV is not increased by co-infection in children under 24-months-of-age
The recent pandemic prompted renewed interest in paediatric respiratory infections, including whether co-infections – particularly with RSV – have an...
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Deep learning-based segmentation of multisite disease in ovarian cancer
PurposeTo determine if pelvic/ovarian and omental lesions of ovarian cancer can be reliably segmented on computed tomography (CT) using fully...
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Overcoming denominator problems in refugee settings with fragmented electronic records for health and immigration data: a prediction-based approach
BackgroundEpidemiological studies in refugee settings are often challenged by the denominator problem, i.e. lack of population at risk data. We...
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“Raising the curtain on the equality theatre”: a study of recruitment to first healthcare job post-qualification in the UK National Health Service
BackgroundUK equality law and National Health Service (NHS) policy requires racial equality in job appointments and career opportunities. However,...
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The inter-prefectural regional disparity of healthcare resources and representative surgical procedures in orthopaedics and general surgery: a nationwide study in Japan during 2015–2019
BackgroundFew reports have examined the localized regional disparity in representative surgical procedures in orthopaedics and general surgery...
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Rho GTPase-activating protein 10 (ARHGAP10/GRAF2) is a novel autoantibody target in patients with autoimmune encephalitis
BackgroundIn 2010, we described a novel immunoglobulin G (IgG) autoantibody (termed anti-Ca after the index case) targeting Rho GTPase-activating...
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A new privacy framework for the management of chronic diseases via mHealth in a post-Covid-19 world
AimNew challenges are being faced by global healthcare systems such as an increase in the elderly population, budget cuts as well as the ongoing...
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GEN-RWD Sandbox: bridging the gap between hospital data privacy and external research insights with distributed analytics
BackgroundArtificial intelligence (AI) has become a pivotal tool in advancing contemporary personalised medicine, with the goal of tailoring...
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The Nottingham Ischaemic Cardiovascular Magnetic Resonance resource (NotIs CMR): a prospective paired clinical and imaging scar database—protocol
IntroductionResearch utilising artificial intelligence (AI) and cardiovascular magnetic resonance (CMR) is rapidly evolving with various objectives,...
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Data-sharing and re-analysis for main studies assessed by the European Medicines Agency—a cross-sectional study on European Public Assessment Reports
BackgroundTransparency and reproducibility are expected to be normative practices in clinical trials used for decision-making on marketing...
