Phenotypic information for cancer research is embedded in unstructured electronic health records (EHR), requiring effort to extract. Deep learning models can automate this but face scalability issues due to privacy concerns. We evaluated techniques…
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In acute ischemic stroke due to large-vessel occlusion (AIS-LVO), late-window endovascular thrombectomy (EVT) decisions depend on penumbra-to-core (P:C) mismatch from computed tomographic perfusion (CTP). We developed multiple machine learning (ML) models to predict P:C…
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This scoping review aims to identify regulator-approved ophthalmic image analysis artificial intelligence as a medical device (AIaMD) in three jurisdictions, examine their characteristics and regulatory approvals, and evaluate the available evidence underpinning them, as…
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This is a multi-institutional study to evaluate a head-and-neck CT auto-segmentation software across seven institutions globally. 11 lymph node levels and 7 organs-at-risk contours were evaluated in a two-phase study design. Time savings were…
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Digital screening may divert lower-risk persons to lower-cost online screening, or offer higher-risk non-responders a more acceptable alternative. Population-based uptake estimates are lacking. We conducted four studies within four weeks by inviting 1700 Londoners…
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A uniform and harmonised taxonomy of Digital Medical Devices (DMDs) and their evidence-based evaluation are essential to ensure their integration into healthcare systems across the European Union (EU). As part of the Taskforce for…
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First deployment of robotic bronchoscopy in KoreaSouth Korea’s National Cancer Center is set to introduce robotic-assisted endoscopic imaging for lung cancer diagnosis.
This is a Korea-first deployment of the robotic bronchoscopy platform by United States-based…
Traditional methods of evaluation are often too slow, rigid and costly for the fast-moving world of digital health, writes Professor Kathrin Cresswell
The NHS is facing significant challenges and digital technologies have potential in helping…
This perspective provides a critical framework for evaluating the use of Generative AI (GenAI) in healthcare, informed by two roundtable events and a series of semi-structured expert interviews. By outlining key principles and risks—including…
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The assessment of voice quality plays a critical role in the clinical evaluation of hoarseness. However, no study has established a highly accurate method for the auditory–perceptual judgment of vocal roughness, which is one…
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