Newcastle upon Tyne Hospitals NHS Foundation Trust has selected two firms to help transform its dataset to improve medical research and innovation.
The trust’s dataset, which covers patient care, treatment outcomes and service delivery, is…
Imaging is crucial to assess disease extent, activity, and outcomes in inflammatory bowel disease (IBD). Artificial intelligence (AI) image interpretation requires automated exploitation of studies at scale as an initial step. Here we evaluate…
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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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What You Should Know:
– John Snow Labs, the AI for healthcare company announced its acquisition of WiseCube, a pioneer in biomedical knowledge graphs and AI-powered literature analysis. Financial details of the acquisition were not…
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Preoperative detection of pT3a invasion in non-metastatic renal cell carcinoma (RCC) remains challenging with CT. This study developed and validated radiomic models using preoperative CT to identify pT3a invasions. Six models were trained and…
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As artificial intelligence begins to transform healthcare, a big question often is overlooked: Are hospitals, health systems and IT vendors training AI on the right data?Many AI models rely heavily on data from U.S….
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Determining tumor microsatellite status has significant clinical value because tumors that are microsatellite instability-high (MSI-H) or mismatch repair deficient (dMMR) respond well to immune checkpoint inhibitors (ICIs) and oftentimes not to chemotherapeutics. We propose…
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Telstra Health taps Salesforce, Snowflake for its ongoing modernisationCloud software providers Salesforce and Snowflake will integrate their solutions into Telstra Health’s upcoming digital health platform.
Based on a media release, Snowflake will provide a common…
Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Language Models (LLMs), shows great potential for annotating…
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This perspective proposes adapting video-text generative AI to 3D medical imaging (CT/MRI) and medical videos (endoscopy/laparoscopy) by treating 3D images as videos. The approach leverages modern video models to analyze multiple sequences simultaneously and…
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