Small language models (SLM) offer promise for medical applications by addressing the privacy and hardware constraints of large language models; however, their limited parameters (often fewer than ten billion) hinder multi-step reasoning for complex…
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I do think we'll start to see less reliance on the general models and an increased reliance on a fine-tuned or a setting- or industry-specific model. #genai #llms #aiinhealthcare…
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Seizure frequency is essential for evaluating epilepsy treatment, ensuring patient safety, and reducing risk for Sudden Unexpected Death in Epilepsy. As this information is often described in clinical narratives, this study presents an approach…
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The novel coronavirus (COVID-19) pandemic has had a devastating global impact, profoundly affecting daily life, healthcare systems, and public health infrastructure. Despite the availability of treatments and vaccines, hospitalizations and deaths continue. Real-time surveillance…
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The Information Commissioner’s Office (ICO) has reduced the fine imposed on Advanced to £3.07 million for security failings that put the personal information of almost 80,000 people at risk.
The fine, which is the first…
Revolutionizing Clinical Workflows
Microsoft has unveiled Dragon Copilot, an innovative AI assistant designed specifically for clinical workflows. This groundbreaking tool integrates trusted natural language voice dictation capabilities from DMO with ambient listening features from DAX,…
Hypertension is a major risk factor for cardiovascular disease (CVD), yet blood pressure is measured intermittently and under suboptimal conditions. We developed a deep learning model to identify hypertension and stratify risk of CVD…
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February is Heart Month, a campaign by the British Heart Foundation that highlights the importance of learning CPR and monitoring heart health. To mark the campaign, we shine the DigitalHealth.London spotlight on Accelerator and…
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Clinical notes recorded during a patient’s perioperative journey holds immense informational value. Advances in large language models (LLMs) offer opportunities for bridging this gap. Using 84,875 preoperative notes and its associated surgical cases from…
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Due to the large size and lack of fine-grained annotation, Whole Slide Images (WSIs) analysis is commonly approached as a Multiple Instance Learning (MIL) problem. However, previous studies only learn from training data, posing…
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