AI

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A more integrative approach to digital pathology

imCMS: The door to simple, cheap, reliable bio-stratification

Bringing molecular and digital pathology closer together through a more integrative approach can lead to clear advantages for diagnostic and research workflows. During the recent Digital Pathology and AI Congress (London) and in his keynote presentation ‘Molecular and digital pathology - the value of an integrative approach’ Professor Viktor Koelzer explored the benefits and paid particular…

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Estimating the 'Deep-Replicability' of scientific findings

AI speeds up search for COVID-19 treatments and vaccines

Researchers at Northwestern University are using artificial intelligence (AI) to speed up the search for COVID-19 treatments and vaccines. The AI-powered tool makes it possible to prioritize resources for the most promising studies — and ignore research that is unlikely to yield benefits. In the midst of the pandemic, scientific research is being conducted at an unprecedented rate. The Food and…

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ECG algorithm

New AI tool for cardiac diagnostics

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…

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Imaging collaboration

AI quantifies COVID-19 in chest CT images

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…

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Coronavirus analysis

AI-generated design blueprints for SARS-CoV-2 vaccines published

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…

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Medical imaging

SymphonyAI acquires TeraRecon

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…

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Experts express doubts

AI outperforming doctors: hype, exaggeration or fact?

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…

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Flu forecast

Portable AI device predicts outbreaks based on coughing

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…

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Bringing AI to the clinics

Pioneering a vendor neutral AI system

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.…

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Smart algorithm

Automated analysis of whole brain vasculature

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…

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Assessment of brain tumour treatment response

Developing AI algorithms for earlier glioblastoma detection

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. Through a number of clinical trials – and the application of artificial intelligence (AI) to retrospective data sets – the aim is to highlight approaches that will enable clinicians to…

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Potentials and pitfalls for IB development

Imaging biomarkers: Close surveillance is mandatory

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…

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Professor questions essential artificial intelligence safety

Facing facts: AI in clinical practice

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…

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Machine learning in intensive care

AI can predict circulatory failure in ICU

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…

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At-home testing for COVID-19

Coronavirus testing? There's an app for that

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…

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Automated helper

Robot uses AI and imaging to draw blood

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…

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The science of sleep

AI could enhance diagnosis and treatment of sleep disorders

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…

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Lab technician shortage

Addressing the critical lack of skilled lab workers

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…

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Blood test & AI power

Early brain tumour detection – within minutes

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…

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Smart infection control

China uses AI to combat the novel coronavirus outbreak

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…

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Enterprise imaging

Cut through the AI hype

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…

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Decision support

AI can predict septic shock

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…

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