Recent advances in artificial intelligence, particularly large language models (LLMs), show promise for mental health applications, including the automated detection of depressive symptoms from natural language. We fine-tuned a German BERT-based LLM to predict…
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MediView XR scores $24M and more digital health funding | Mobi Health News
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While large language models (LLMs) hold promise for transforming clinical healthcare, current comparisons and benchmark evaluations of large language models in medicine often fail to capture real-world efficacy. Specifically, we highlight how key discrepancies…
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Recent advances in unbiased metagenomic next-generation sequencing (mNGS) enable simultaneous examination of microbial and host genetic material. We developed a multimodal machine learning-based diagnostic approach to differentiate lung cancer and pulmonary infections by analyzing…
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The Medicines and Healthcare products Regulatory Agency (MHRA) has introduced AI to help support clinical trial assessors to review complex data by flagging potential issues for human review.
It is part of reforms to reduce…
AI-scribing firm Heidi Health has announced the closing of a $65 million (£48m) Series B funding round to help the firm expand globally.
Heidi, founded in Australia, is used by more than 60% of NHS…
Nick Hulme, chief executive at East Suffolk and North Essex NHS Foundation Trust (Credit: ESNEFT)
East Suffolk and North Essex NHS Foundation Trust (ESNEFT) has gone live with an electronic patient record (EPR) system…
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Cemil Canturk, Sr. Marketing Manager for Fixed Networks at Nokia
Digital technologies are reshaping every aspect of healthcare, from digital health records to real-time diagnostics, data sharing, patient-centric entertainment, and safe guest Wi-Fi. There’s a…
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What You Should Know:
– The U.S. digital health sector saw $3.5B in venture funding across 107 deals in Q3 2025, contributing to a year-to-date total of $9.9B, according to Rock Health’s Q3 2025 report….
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Introduction
Healthcare organizations are pouring billions into artificial intelligence, digital assistants, and advanced documentation tools. However, the critical factor determining success isn’t the sophistication of the technology itself—it’s whether frontline clinicians embrace these innovations. Research…
