Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in Brazil have developed an AI that automatically diagnoses atrial fibrillation and five other common ECG abnormalities just as well as a cardiologist. The study has been published in Nature…
Coronavirus can be identified automatically from sick patients’ lung X-rays using artificial intelligence (AI) developed at Brunel University London.
Hospitals and organizations worldwide joined forces with AI imaging company icometrix in a global initiative to leverage artificial intelligence (AI) in the fight against COVID-19. The multinational collaboration resulted in the development of an AI algorithm, icolung, which received CE-marking for clinical use in Europe. icolung is the first CE-marked AI solution for CT resulting from a…
A computational lung model can be used to reduce damage caused by mechanical ventilation – and could increase survival rates for patients significantly.
NEC Corporation announced analysis results from efforts using AI prediction platforms to design blueprints for SARS-CoV-2 vaccines that can drive potent T-cell responses in the majority of the global population. This initiative by the scientific teams within the NEC Group to help combat outbreaks of COVID-19 and support international vaccine development efforts is led by NEC OncoImmunity (NOI) in…
SymphonyAI Group, an operating group of leading business-to-business AI companies, announced the acquisition of TeraRecon, the market-leading advanced visualization and AI solution provider for medical imaging. As SymphonyAI Group’s seventh portfolio company, TeraRecon has a charter to establish a new portfolio of healthcare AI solutions focused on medical imaging. Using newly patented AI and…
Many studies claiming that artificial intelligence (AI) is as good as (or better than) human experts at interpreting medical images are of poor quality and are arguably exaggerated, posing a risk for the safety of ‘millions of patients’ warn researchers in The BMJ. Their findings raise concerns about the quality of evidence underpinning many of these studies, and highlight the need to improve…
University of Massachusetts Amherst researchers have invented a portable surveillance device powered by machine learning – called FluSense – which can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses and influenza trends. The FluSense creators say the new edge-computing platform, envisioned for use in hospitals, healthcare waiting rooms…
Capturing all the possibilities brought by AI long-seemed a faraway dream for hospitals, since most artificial intelligence (AI) solutions are vendor dependent, thus complicating their deployment in clinical practice. However, the dream has become reality at Utrecht UMC, which launched a pioneering AI infrastructure able to monitor information and run any algorithm from its HIS, RIS and PACS.…
EIT Health and McKinsey & Company have published a Europe-wide report “Transforming healthcare with AI: The impact on the workforce and organisations” exploring the impact of AI on healthcare practitioners, as well as the implications and obstacles for scaling AI in healthcare organisations and systems.
Diseases of the brain are often associated with typical vascular changes. Now, scientists at LMU University Hospital Munich, Helmholtz Research Centre for Environmental Health and the Technical University of Munich (TUM) have come up with a technique for visualising the structures of all the brain's blood vessels – right down to the finest capillaries – including any pathological changes. So…
Novel advanced imaging biomarkers are being developed in a series of studies at several UK centres that may lead to the earlier assessment of treatment response to glioblastoma (GBM) and a better survival rate.
Imaging biomarkers (IB) have advanced tremendously since first described 25 years ago, but many challenges still block their widespread use. During the EuSoMII’s annual meeting in Valencia, Dr Ángel Alberich-Bayarri gave pragmatic solutions to tackle current bottlenecks and explained why close surveillance is mandatory for further development of IB. However, these need close surveillance with…
Examining the safety of AI integration into clinical workflow during at the British Institute of Radiology (BIR) annual congress in London, this November, Professor Nicola Strickland focused on issues of data quantity and quality, regulation, validation and testing of algorithms. She also urged radiologists and computer scientists to work more closely together to develop safe, effective and…
As a highly innovative medical specialisation, radiology increasingly takes advantage of the possibilities offered by artificial intelligence (AI). Yet, there is no risk for the future of the specialty. Demands on this discipline are too complex, too communicative. Thus, machines will not replace a radiologist any time soon – of that Uwe Joseph Schöpf, professor of radiology, cardiology and…
Researchers at ETH Zurich and Inselspital, Bern University Hospital, have developed a method for predicting circulatory failure in patients in intensive care units (ICU) – enabling clinicians to intervene at an early stage. Their approach uses machine learning methods to evaluate an extensive body of patient data. Patients in a hospital’s ICU are kept under close observation: clinicians…
A coronavirus app coupled with machine intelligence will soon enable an individual to get an at-home risk assessment based on how they feel and where they’ve been in about a minute, and direct those deemed at risk to the nearest definitive testing facility, investigators say. It will also help provide local and public health officials with real time information on emerging demographics of those…
Engineers at Rutgers University have created a tabletop device that combines a robot, artificial intelligence and near-infrared and ultrasound imaging to draw blood or insert catheters to deliver fluids and drugs. Their most recent research results, published in the journal Nature Machine Intelligence, suggest that autonomous systems like the image-guided robotic device could outperform people on…
Artificial intelligence (AI) has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine. Published in the Journal of Clinical Sleep Medicine, the position statement was developed by the AASM’s Artificial Intelligence in Sleep Medicine…
The UK and Europe are facing a serious lab skills shortage over the next decade with medical laboratories among the worst affected. An ageing population and skilled operators retiring without being replaced by a new generation of lab technicians is at the core of a critical lack of skilled lab workers, with it taking 5-10 years for a technician to become fully competent and an expert in their…
A simple blood test coupled with artificial intelligence (AI) analysis could help spot the signs of a brain tumour sooner in patients. Brain tumour diagnosis is difficult: patients often see their family doctor (GP) several times before referral for a scan. However, research presented at the 2019 National Cancer Research Institute (NCRI) Cancer Conference in Glasgow last November suggests the…
Infrared thermometers are now used in most subway stations in China to prevent the spread of novel coronavirus (SARS-CoV-2) pneumonia (MCP). Many stations have implemented an artificial intelligence (AI) based fever screening system developed by the Beijing-based company Megvii Technology Limited. The system supports non-contact remote temperature screening from a distance of 3 meters. "This…
It’s time to cut through the hype surrounding artificial intelligence and begin to understand the reality in terms of application in radiology. With many different algorithms available that cover a growing array of diagnostic and interpretational areas, Dr Anjum Ahmed believes hospitals and care providers now need to ask the right questions when weighing up AI implementation in their clinical…
Researchers at Linköping University (LiU) have developed an algorithm that can identify patients at a higher risk of septic shock, a life-threatening condition that is difficult for doctors to predict. At the same time, it is important to recognise the symptoms as early as possible, since early treatment increases the chance of survival. A group of LiU researchers is using artificial…
A new digital tool that tailors specific questions based on a patient's medical history could improve the safety of diagnosis and effectiveness of care, according to a new study at Danderyd Hospital and Karolinska Institutet. "The AI ensures the patient is asked all relevant questions for that particular individual," says doctoral student Helge Brandberg, one of the developers behind…