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.
AI
News • Monitoring technology
AI to detect Parkinson’s from breathing patterns
A device with the appearance of a Wi-Fi router uses a neural network to discern the presence and severity of one of the fastest-growing neurological diseases in the world: Parkinson's.
News • Throat surgery
After laryngectomy: AI screens voice pathologies
Striving to improve the patient’s quality of life after laryngectomy, researchers conducted a study, during which they searched for pathologies in patients’ voices using artificial intelligence (AI).
News • For the first time
Similarity between schizophrenia and dementia dicovered
Researchers for the first time compared schizophrenia and frontotemporal dementia, disorders that are both located in the frontal and temporal lobe regions of the brain.
Article • Philips presents portfolio update at ECR 2022
AI-powered MRI to increase imaging speed, reduce staff burden
The portfolio Philips presented at ECR 2022 revealed that the company not only advanced their products, but also listened to medical professionals and patients – and took their feedback to heart.
News • Machine learning analysis of idiopathic pulmonary fibrosis
IDF diagnosis: AI on par with medical specialists
Researchers developed an AI that accurately and quickly diagnoses idiopathic pulmonary fibrosis, based only on information from lung images and medical information collected during daily medical care.
Article • Imaging biomarkers, AI support and beyond
New tools for Covid-19 assessment
As knowledge about Covid-19 advances, so does the arsenal of techniques to predict, diagnose and follow up on the disease. At ECR, researchers presented a range of promising imaging modalities to keep track of Covid-19 symptoms, severity, and mortality, often including AI support to enhance or accelerate diagnostics.
News • Risk factor identification
AI to speed up sepsis detection
Patients are 20% less likely to die of sepsis because a new AI system developed at Johns Hopkins University catches symptoms hours earlier than traditional methods, an extensive hospital study shows.
News • Fracture diagnosis support
AI software to help identify bone trauma at the point of care
Fujifilm partners with Gleamer to integrate an AI software called BoneView into its X-ray imaging systems to assist radiologists and emergency clinicians in the diagnosis of skeletal fractures.
Sponsored • Technology advances
AI-based diagnosis: New evidence for efficiency gains and better diagnostic accuracy
AI-based diagnosis is undoubtedly one of the most promising subjects when we talk about the future of radiology. Now, a couple of new studies indicate that most radiologists are open to using the technology and this for good reasons.
Article • Diversity, transparency, flexibility
Building trustworthy AI systems for cancer imaging
Building artificial intelligence (AI) tools that clinicians and patients can trust, and easily use and understand, are core to the technology being successfully deployed in healthcare settings.
News • Form-fitting fabric
Smart textiles recognizes its wearer’s activities
MIT researchers produced textiles that sense the wearer’s posture and motions. Their “smart” shoes and mats could be used in applications ranging from health care to prosthetics.
Article • Current and emerging imaging applications
Challenges of AI in chest radiography
Physicians use AI-powered technology for faster and earlier detection of diseases. At ECR Overture, Dr Steven Schalekamp, PhD, discussed the application of AI for chest radiography in paediatrics.
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 • Radiophysiomics
Diagnosing brain tumors using machine learning
The classification of brain tumors—and thus the choice of optimal treatment options—can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging.
News • Diagnostic imaging
AI saves one hour of daily chest CT interpretation time
Incorporating AI support into clinical practice can reduce repetitive tasks, saving approximately one hour of chest CT interpretation time in a radiologist’s typical workday.
News • New study
AI better at spotting heart failure than current tests
Artificial intelligence can help diagnose acute heart failure with more accuracy than current blood tests alone, research suggests.
Article • Multimodal analysis approach
Novel AI model predicts thyroid cancer from routine ultrasound images
An artificial intelligence (AI) model combining four methods of machine learning (ML) to accurately detect thyroid cancer from routine ultrasound image data has been developed by US researchers.
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 • Automated adenoma analysis
AI finds more precancerous polyps than traditional colonoscopy
Colonoscopies performed with AI support may yield an increase in the overall rate of detection of adenoma, or cancerous and precancerous polyps, by 27% in average-risk patients, according to new data.
News • Call for robust standards
How will AI impact doctor-patient relationships?
Clear ethical standards and guidance are needed for AI in health settings to protect the relationship of trust between doctors and patients and to safeguard human rights, according to a new report.
News • Lung cancer
A novel AI for digital pathology analysis
Researchers from Boston University School of Medicine have developed a novel artificial intelligence algorithm to assess digital pathology data.
Article • Detection and diagnosis of cancer
The ‘smart’ future of cytology
A combination of digital pathology and quantitative biomarker analysis in the emerging concept of ‘smart’ cytology has a potential role in the detection and diagnosis of cancer.
News • Machine learning vs. NSCLC
AI to improve post-treatment surveillance of lung cancer patients
Artificial intelligence (AI) could help guide the post-treatment surveillance of non-small cell lung cancer (NSCLC) patients and improve outcomes as a result, according to a new study.
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.
