News • Deep learning diagnoses
AI detects COVID-19 from smartwatch sensors
Combining questions about a person's health with data from smartwatch sensors, a new app can predict within minutes whether someone is infected with COVID-19.
Deep learning
News • New AI reveals
What is in our cells?
Artificial intelligence-based technique reveals previously unknown cell components that may provide new clues to human development and disease.
News • Lesions
'Virtual histology' may reduce need for skin biopsies
A 'new technology shows promise by analyzing images of suspicious-looking lesions and quickly producing a detailed, microscopic image of the skin, bypassing several standard steps typically used for diagnosis - including skin biopsy, tissue fixation, processing, sectioning and histochemical staining.
Article • Point-of-care testing
Emerging technologies in POCT
Considerable advances in point-of-care testing (POCT) devices are emerging from lab-on-a-chip platforms, innovations in smartphone-based technology and wearable technology. Cloud-based deep learning systems herald a future revolution.
News • AI-enhanced imaging
Detecting Diabetes with Whole-Body MRI
Type 2 diabetes can be diagnosed with a whole-body magnetic resonance imaging (MRI) scan. This is shown by a current study by researchers from the German Center for Diabetes Research, the Institute of Diabetes Research and Metabolic Diseases of Helmholtz Zentrum München at the University of Tübingen, the Max Planck Institute for Intelligent Systems and Tübingen University Hospital. They used…
News • Histological grading assistance
AI improves precision in breast cancer diagnosis
Researchers at Karolinska Institutet have developed an AI-based tool that improves the diagnosis of breast cancer tumours and the ability to predict the risk of recurrence. The greater diagnostic precision can lead to more personalised treatment for the large group of breast cancer patients with intermediate risk tumours. The results are published in the scientific journal Annals of Oncology.
News • First-of-its-kind study
Computer-assisted colonoscopies reduces rate of missed lesions
Decreasing the rate of missed lesions could translate into fewer cases of colon cancer.
News • Imaging assistance
Deep learning method boosts MRI results without new data
When patients undergo an MRI, they are told to lie still because even the slightest movement compromises the quality of the images and can create blurred spots and speckles known as artifacts. Moreover, a long acquisition time is usually required to provide high-quality MRI images. A team of researchers from Washington University in St. Louis has found a new deep learning method that can minimize…
News • Survival of patients
Unsupervised AI predicts the progression of COVID-19
Unsupervised deep learning breaks new ground by predicting the progression of COVID-19 and survival of patients directly from their chest CT images.
Article • Diagnosis, prognosis, prediction
AI offers advances in cardiovascular imaging
Artificial Intelligence (AI) is providing numerous opportunities across clinical care in the field of cardiovascular imaging. While challenges remain, AI is being applied in terms of diagnosis and prognosis, defining cardiovascular imaging pathways, and image acquisition and analysis. It can also help cardiologists predict which patients may do well, or which treatments are best applied to those…
Article • Preventive cardiology
AI to measure coronary plaque in six seconds
Coronary computed tomography angiography (CCTA) is a non-invasive imaging test which can be used to evaluate coronary artery stenosis and measure plaques. Current plaque analysis is time-consuming and needs expert readers in order to help assess a patient’s heart attack risk. That’s about to change.
Article • Neurology
Supercomputer helps create 3D synthetic brain models
Scientists are using artificial intelligence (AI) and the Cambridge-1 supercomputer to synthesise artificial 3-D MRI images of human brains and create models that show disease states across various ages and genders. The Synthetic Brain Project is focused on building deep learning models which have been developed by King’s College London (KCL) and NVIDIA data scientists and engineers as part of…
News • AI in radiology
Deep learning helps visualize X-ray data in 3D
A team of scientists at Argonne National Laboratory has leveraged artificial intelligence to train computers to keep up with the massive amounts of X-ray data taken at the Advanced Photon Source.
News • Personalizing treatment
AI can help improve precision radiotherapy
The Netherlands Cancer Institute, University of Amsterdam (UvA), and Elekta will collaborate on the development of new AI strategies for the further improvement of precision radiotherapy. This concerns the personalization of treatment by improving the quality of imaging used during treatment, predicting and accounting for changes in the patient’s anatomy over time, and automatically adapting…
News • Panic prevention
Drone helps elderly escape from burning nursing homes
A student team at Eindhoven University of Technology (TU/e) has introduced an interactive drone that guides elderly people to the exit during a fire in a nursing home, even before the fire brigade arrives. The Blue Jay Aeden is said to be the first interactive drone in the world that can transmit emotions and can fulfil an important function in saving people's lives.
News • Deep learning vs Aids
AI app could help diagnose HIV more accurately
Pioneering technology developed by University College London (UCL) and Africa Health Research Institute (AHRI) researchers could transform the ability to accurately interpret HIV test results, particularly in low- and middle-income countries. Academics from the London Centre for Nanotechnology at UCL and AHRI used deep learning (artificial intelligence/AI) algorithms to improve health workers’…
News • WHO global report
The six guiding principles for AI in healthcare
Artificial Intelligence (AI) holds great promise for improving the delivery of healthcare and medicine worldwide, but only if ethics and human rights are put at the heart of its design, deployment, and use, according to new WHO guidance.
Article • Workflow optimisation
The potential of AI in breast imaging efficiency
The contribution of Artificial intelligence (AI) has great potential in breast imaging efficiency, Professor Linda Moy MD told attendees at the 2021 Society of Breast Imaging/American College of Radiology (SBI/ACR) Breast Imaging Symposium this April. AI models for breast imaging have focused mainly on the diagnostic classification and detection of breast cancer.
Video • Redesign & refresh
Canon Medical updates Aplio ultrasound systems
Canon Medical announced the commercial launch of the Aplio i-series / Prism Edition, a complete redesign of its premium ultrasound series. In addition, Aplio a-series, Canon Medical’s routine-to-advanced imaging range has also received a significant refresh.
News • AI-assisted analysis
Prediciting viral infections with microscopy & deep learning
When viruses infect cells, changes in the cell nucleus occur, and these can be observed through fluorescence microscopy. Using fluoresence images from live cells, researchers at the University of Zurich have trained an artificial neural network to reliably recognize cells that are infected by adenoviruses or herpes viruses. The procedure also identifies severe acute infections at an early stage.
News • Coronavirus infection
AI shortcuts could lead to misdiagnosis of Covid-19
University of Washington researchers have discovered that AI models—like humans—have a tendency to look for shortcuts. In the case of AI-assisted disease detection, these shortcuts could lead to diagnostic errors if deployed in clinical settings.
News • Solving the “black box” problem
Companies launch video series explaining imaging AI
Three leading AI scale-ups - Aidence, ScreenPoint Medical and Thirona - have launched the informative video series “Opening the black box of AI in medical imaging”.
News • Combining common risk factors
Deep learning enables dual screening for cancer and CVD
Heart disease and cancer are the leading causes of death in the United States, and it’s increasingly understood that they share common risk factors, including tobacco use, diet, blood pressure, and obesity. Thus, a diagnostic tool that could screen for cardiovascular disease while a patient is already being screened for cancer has the potential to expedite a diagnosis, accelerate treatment, and…
News • Robotic navigation
Helping robots find their way in crowded emergency rooms
Computer scientists at the University of California San Diego have developed a more accurate navigation system that will allow robots to better negotiate busy clinical environments in general and emergency departments more specifically. The researchers have also developed a dataset of open source videos to help train robotic navigation systems in the future. The team, led by Professor Laurel Riek…
News • Incidental findings identification
AI system for brain MRIs could boost workflows
An artificial intelligence (AI)-driven system that automatically combs through brain MRIs for abnormalities could speed care to those who need it most, according to a new study. “There are an increasing number of MRIs that are performed, not only in the hospital but also for outpatients, so there is a real need to improve radiology workflow,” said study co-lead author Romane Gauriau, PhD,…