News • Healtchare devices
Hearing aids could read lips through masks
A new system capable of reading lips with remarkable accuracy even when speakers are wearing face masks could help create a new generation of hearing aids.
Deep learning
News • Imaging AI
Photon-counting CT improves myeloma bone disease detection
New CT technology paired with artificial intelligence-based noise reduction offers superior detection of bone disease associated with multiple myeloma at lower radiation doses than conventional CT.
News • AI vs. NSCLC
Streamlining lung cancer radiotherapy with Deep Learning
UK researchers developed and validated a deep learning algorithm that can identify and outline a non-small cell lung cancer (NSCLC) tumor on a CT scan within seconds.
News • Subtraction technique
Deep learning optimal for coronary stent evaluation by CTA
The combination of deep-learning reconstruction and a subtraction technique yields promising diagnostic performance for the detection of in-stent restenosis by coronary CTA.
News • Ophthalmology
A healthy eye with AI analysis
Using deep learning, researchers created AI-driven computer models to analyze corneal and retinal images to help eye doctors in the future.
News • AI approach to colorectal tumors
Deep learning identifies molecular patterns of cancer
A new AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
News • Survival predictor
AI mines MRI to predict cardiac arrest
An algorithm built to assess scar patterns in patient heart tissue can predict potentially life-threatening arrhythmias more accurately than doctors can.
Article • AI and DL to drive precision medicine
Diving into medical big data
Big data is transforming diagnosis and medical care, but the critical challenge remains over how to equally apply the benefits it delivers across real-world clinical settings, according to industry expert Prof Benoît Macq.
News • Deep learning approach
'Curvy' bacteria as telltale sign of drug resistance?
Researchers find that drug-resistant bacteria can be distinguished from non-resistant bacteria based on structural changes evident in electron microscope images with high accuracy using deep learning.
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.
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 • 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 • 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 • 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’…