News • Deep learning advances
New AI model for cell segmentation and classification
US researchers have developed a comprehensive deep learning AI model designed to more accurately identify and classify cells in high-content tissue images.
Deep learning
News • Ultrasound tool
AI 'guides' childbirth by tracking a baby's position
The journey of a baby through the birth canal can be fraught with obstacles and risks. A new AI-based tool to evaluate the head position of the baby could lead to fewer childbirth complications.
News • Improved image quality, reduced radiation dose
Benefits of deep learning reconstruction in paediatric imaging
Recent developments in deep learning techniques are enhancing clinical imaging quality and reducing radiation exposure for patients while also maintaining diagnostic accuracy. The latest AI (artificial intelligence) component to clinical imaging – referred to as deep learning reconstruction (DLR) – is having a particular benefit in paediatric imaging, according to Dr Samuel Brady from…
News • Real-time drug identification
Wrong meds? A wearable AI camera detects what's in a syringe or vial
A newly-developed wearable camera system is designed to detect potential errors in medication delivery by identifying contents of vials and syringes with the help of deep-learning AI.
News • Sensor solution
Wearable lung patch uses deep learning to detect asthma and COPD
Early detection and management of asthma and COPD is critical. US researchers have developed a deep learning model paired with a wearable sensor patch to automatically detect wheezing sounds.
News • Non-invasive risk assessment
Prostate cancer: avoiding unnecessary biopsies with AI
Combining risk markers, systematic evaluation of MRI images and AI, researchers aim to predict the risk of prostate cancer more accurately than before. This could save many patients from a biopsy.
News • Image analysis
Deep learning model detects prostate cancer on MRI scans
The interpretation of prostate MRI is notoriously difficult. Annotating AI shows promise to help improve diagnostic performance through increased cancer detection rates with fewer false positives.
News • "Candycrunch"
AI and mass spectrometry to find cancer clues at lightning speed
Researchers have developed an AI model that increases the potential for detecting cancer through sugar analyses. The AI model is faster and better at finding abnormalities than current methods.
News • Three-dimensional tissue processing
Pathology performs leap into 3D with AI
Adding a new dimension to pathology: Researchers explore new, deep learning models that can use 3D pathology datasets to make clinical outcome predictions for curated prostate cancer specimens.
News • Atrial fibrillation early warning
Deep learning predicts heart arrhrythmia 30 minutes in advance
Researchers have developed a deep-learning model that predicts the transition from a normal cardiac rhythm to atrial fibrillation 30 minutes before onset, with an accuracy of around 80%.
News • Osteosarcoma model
Bone cancer prognosis enhanced via deep learning
Osteosarcoma is the most prevalent malignant bone tumor. Now, researchers have developed a machine-learning model to predict the density of viable tumor cells after surgery and chemotherapy treatment.
News • Point-of-care testing
New AI tool detects Covid-19 in lung ultrasound images
Using ultrasound imaging to detect Covid-19 infections, a new automated detection tool could help doctors in the emergency room diagnose patients quickly and accurately.
News • Voxel-wise classification
Deep learning tool uses MRI to enhance brain tumor diagnosis
A novel AI-based, non-invasive diagnostic tool enables accurate brain tumor diagnosis, outperforming current classification methods. The tool leverages MRI information to aid clinical decision making.
News • Imaging equipment
Fujifilm presents new MRI scanner at ECR 2024
Fujifilm Healthcare Europe will present its Echelon Synergy MRI system at the European Congress of Radiology 2024. The 1.5 T scanner employs AI features to enhance image quality and scanning speed.
News • Imaging signatures
CT-based radiomics deep learning to predict lymph node metastasis in tumors
With a combination of radiomics and deep learning, researchers aim to noninvasively determine lymph node metastasis before surgery. This could lead to more accurate diagnosis and treatment strategies.
News • Finding therapy-relevant genetics
Leukaemia: AI provides support in diagnostics
Certain genetic features are crucial for treatment decisions for AML leukaemia. A team from Münster shows how an AI-based method can predict these features from images of bone marrow smears.
News • WSI-based analysis
AI-driven classification of diffuse gliomas skips molecular testing
Research from Shenzhen proposes an integrated diagnosis model for automatic classification of adult-type diffuse gliomas directly from annotation-free standard whole-slide pathological images.
News • Susceptibility detection in Escherichia coli
How AI can detect antibiotic resistance in 30 minutes
A new deep-learning approach to AMR testing has been shown to detect antimicrobial susceptibility within as little as 30 minutes - significantly faster than current gold-standard approaches.
Article • Need for diversity in training datasets
Artificial intelligence in healthcare: not always fair
Machine learning and AI are playing an increasingly important role in medicine and healthcare, and not just since ChatGPT. This is especially true in data-intensive specialties such as radiology, pathology or intensive care. The quality of diagnostics and decision-making via AI, however, does not only depend on a sophisticated algorithm but – crucially – on the quality of the training data.
News • Deep learning refinement
Colorectal cancer: AI tool improves diagnostic accuracy
Researchers from Finland have developed an artificial intelligence tool for automatic colorectal cancer tissue analysis that outperforms prior methods.
News • Smart diagnostic support
Brain imaging: bringing CT up to par with MRI
A new AI method for CT brain imaging may bring the modality to the level of detail usually reserved for MRI scans. This could enhance diagnostic support for conditions such as Alzheimer's disease.
News • Multimodal approach
Chest X-rays + patient data + AI = better diagnosis?
A new artificial intelligence (AI) model combines imaging information with clinical patient data to improve diagnostic performance on chest X-rays, a new study finds.
News • Biomarker-based predictions
AI drives precision oncology for colorectal cancer
For the first time, researchers show that AI-based predictions can deliver comparable results to clinical tests on biopsies of patients with colorectal cancer (CRC).
News • Radiograph evaluation
AI uses chest X-rays to determine "true" age of a patient
Osaka Metropolitan University scientists have developed an advanced AI model that utilizes chest radiographs to accurately estimate a patient’s "true" age.
News • ICU assessment
AI to predict critical care for patients with Covid-19
Researchers from the University of Chicago developed a deep-learning model to assess chest X-ray radiographs for probable Covid-19 severity.
