Clinical trials are an essential component of drug development for new cancer treatments, yet the information required to determine a patient’s eligibility for enrollment is scattered in large amounts of unstructured text. Genomic biomarkers…
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Recent advancements in large language models (LLMs) have demonstrated their potential in numerous medical applications, particularly in automating clinical trial matching for translational research and enhancing medical question-answering for clinical decision support. However, our…
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The rapid proliferation of healthcare service applications (apps) makes it challenging for consumers to determine the best one for their needs, prompting the Korean government to introduce an accreditation program to verify app safety….
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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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While holding great promise for improving and facilitating healthcare through applications of medical literature summarization, large language models (LLMs) struggle to produce up-to-date responses on evolving topics due to outdated knowledge or hallucination. Retrieval-augmented…
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Revolutionary Digital Tomosynthesis System Approved
NANO-X IMAGING LTD has achieved a significant milestone with FDA 510(k) clearance for their innovative Nanox.ARC X multi-source digital tomosynthesis system. The approval process was remarkably swift, taking less than…
Large language models (LLMs) show promise in mental health care for handling human-like conversations, but their effectiveness remains uncertain. This scoping review synthesizes existing research on LLM applications in mental health care, reviews model…
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The University of Edinburgh has opened applications for its 2025 AI Accelerator programme.
The six-month programme, which will begin on 17 September 2025, enables AI-focused “scaleup” companies with a proven business model to connect with…
Valuable Public Health Use Cases for AI
AI can analyze massive, varied data sets — from sources such as electronic health records, demographic data, medical sensors, health journals and even social media — much faster…
As an organization’s IT environment grows, so does its need to efficiently manage data, applications, networks and other intricate components of modern systems.
Many organizations are growing so fast that their IT operations teams struggle…
