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Artificial Intelligence tool shows 50% COVID-19 mortality reduction

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The tool is the outcome of a project named'Digital Control Centre for COVID-19' by health innovation body, EIT Health, which was initiated in April 2020. Since then, the tool has undergone development and validation, and has shown early success in the stratification and personalisation of treatment for patients with serious COVID-19, leading to improved treatment responses and a 50% reduction in mortality rates. The study has been published in Clinical Infectious Diseases. The main cause of death for patients with COVID-19 is respiratory failure, however, many of these patients can be effectively treated if adequate care is provided at the right timepoint. Researchers at Hospital Clinic Barcelona-IDIBAPS created the Artificial Intelligence solution capable of analysing, in real time, more than a trillion anonymised data points of COVID-19 patients, identifying clinical patterns and suggesting personalised treatments.


Robots and AI to give doctors more time with patients, says report

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Robots, artificial intelligence and smart speakers will ease the burden on doctors and give them more time with patients, according to an NHS report on the pending technological "revolution" in healthcare. Developments in the ability to sequence individuals' genomes – the entirety of their genetic data – will also spur on advances, according to the review published on Monday. The report, led by a US academic, Eric Topol, calls for fresh education for staff, with 90% of all NHS jobs predicted to require digital skills within 20 years. But those who fear robots could edge out human practitioners may be reassured by the review's suggestion that technology will "enhance" professionals, giving them greater time for patients. Smart speakers such as Siri and Alexa are envisioned as having a major impact on care.


GE Healthcare and Optellum Join Forces to Advance Lung Cancer Diagnosis with Artificial Intelligence

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GE Healthcare and Optellum today announced that they have signed a letter of intent to collaborate to advance precision diagnosis and treatment of lung cancer. GE Healthcare is a global leader in medical imaging solutions. Optellum is the leader in AI decision support for the early diagnosis and optimal treatment of lung cancer. This press release features multimedia. Together, the companies are seeking to address one of the largest challenges in the diagnosis of lung cancer, helping providers to determine the malignancy of a lung nodule: a suspicious lesion that may be benign or cancerous.


How artificial intelligence spells real change for patients

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The world's population is expected to increase by one billion people by 2025, with nearly a third expected to be aged 65 and over. It is a testament to medical science that we are all living for longer, but whilst these advances have enabled us to spend more time enjoying retirement, Europe will increasingly be left with an ageing population – and this brings with it a set of challenges for healthcare systems and the patients they look after. Across Europe, there are a growing number of older people whose complex healthcare needs will have to be met. Cancer, in particular, presents a major concern. The data of the WHO (World Health Organization) show that in Europe, there are more than 3.7 million new cases and 1.9 million deaths from cancer each year1.


Update on Artificial Intelligence and Healthcare

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In a recent interview, AthenaHealth CEO Jonathan Bush noted the limitations of traditional doctors and said, "The human is wrong so freaking often, it's a massacre." "By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries." Stephen Hawking has said the development of full Artificial Intelligence (AI) could spell the end of the human race – and Elon Musk agreed. In a recent interview, AthenaHealth CEO Jonathan Bush noted the limitations of traditional doctors and said, "The human is wrong so freaking often, it's a massacre." "By 2025, AI systems could be involved in everything from population health management, to digital avatars capable of answering specific patient queries."