Hampshire Hospitals to explore the use of AI to identify prostate cancer
Hampshire Hospitals NHS Foundation Trust (HHFT) has teamed up with Lucida Medical Ltd for a major study into the use of AI to identify prostate cancer.
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Industry news in brief
The latest Digital Health News industry round-up includes news of an online booking tool for flu vaccinations and how AI is improving the NHS blood supply chain.
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New partnership to develop AI platforms for faster diagnosis and treatment
Artificial Intelligence (AI) platforms which can provide faster diagnosis and treatments for clinicians are to be developed as part of a new partnership.
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Trial of machine learning tool to manage Covid-19 pressure launched
The machine learning tool is designed to help hospitals predict how many patients need an ICU bed and how many require ventilators.
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AI identifies new antibiotic that can kill drug-resistant bacteria
MIT scientists used a deep learning model to discover a powerful new antibiotic that can kill many of the world’s most problematic disease-causing bacteria.
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Rolls-Royce tech gives voice back to people with MND
Quips uses voice-banking and machine learning to allowing people with motor neurone disease to speak with their own voice, words, accent and colloquialisms.
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Cognetivity receives £900,000 to trial dementia detection tech with NHS
The 12-month project seeks to determine whether Cognetivity’s iPad-based cognitive assessment tool can outperform existing techniques in dementia pathways.
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Orion Health ‘back in growth mode’ as share buyback puts cash in bank
Orion Health is close to returning to profitability and is pivoting to “a number of small, innovative lines of business”, CEO Ian McCrae has said.
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‘Less than one percent’ of diagnostic AI studies based on high-quality data
AI may be on a par with human diagnostic ability, but most studies greatly exaggerate its power in clinical settings, new research has found.
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App’s skin cancer detection capability ‘well above that of GPs’
Researchers determined that the SkinVision app had a sensitivity of 95% in detecting the most common forms of the disease and a specificity of 78%.
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