This study evaluates the CT-based volumetric sarcopenia index (SI) as a baseline prognostic factor for overall survival (OS) in 10,340 solid tumor patients (40% female). Automated body composition analysis was applied to internal baseline…
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Data analytics stands as the foundation that supports individualised patient treatment while maximising operational capabilities and business development potential by using strategic resource distributions and analytic insights. Healthcare organisations collect enormous datasets from four…
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To address the diversity of skin conditions and the low prevalence of skin cancers, we curated a large hospital dataset (National Information Society Agency, Seoul, Korea [NIA] dataset; 70 diseases, 152,443 images) and collected…
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Background: Obesity and related disorders are rising globally, especially in China, where they are linked to chronic diseases like diabetes and cardiovascular issues. As intermittent fasting gains popularity for weight management, the use of…
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Understanding the LockBit 5.0 Threat
The Health Information Sharing and Analysis Center (Health-ISAC), a nonprofit organization dedicated to sharing critical threat intelligence across the healthcare sector, issued a high-priority security alert on October 1 regarding…
ROI Analysis: Measuring EMPI Success in Healthcare OrganizationsNitin Manocha, senior industry analyst for healthcare AI strategy at Frost & Sullivan, says organizations should look at both direct and indirect measures while determining the success…
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Ophthalmology, an early adopter of medical artificial intelligence (AI), has made significant advancements, but ethical discussions limited. This bibliometric analysis reviewed 498 publications from Web of Science and Scopus (2000–2023) to explore the evolution,…
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Dr Charlotte Refsum, director of health policy at the Tony Blair Institute for Global Change (TBI) will make a welcome return to Digital Health Rewired in 2026.Professor Ben Goldacre and Professor Gillian Leng have…
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The integration of generative AI (GenAI) in patient communication presents benefits and challenges. This retrospective observational study analyzed EHR audit logs to assess how 75 healthcare professionals (HCPs) utilized AI-generated drafts for patient messages…
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Generative AI models, including large language models (LLMs) and vision-language models (VLMs), are increasingly used to interpret medical images and answer clinical questions. However, their responses often include inaccuracies; therefore, safety measures like medical…
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