AI predicts effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
imaging
Ensembling improves machine learning model performance
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
Deep learning assists in detecting malignant lung cancers
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
Facial recognition software IDs individuals from MRI scans
Though identifying data typically are removed from medical image files before they are shared for research, a study finds that this may not be enough to protect patient privacy.
AI rivals radiologists at detecting brain hemorrhages
An algorithm did better than experts radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with strokes.
Combination of AI and radiologists accurately identified breast cancer
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
AI improves biomedical imaging
Researchers use artificial intelligence to improve quality of images recorded by a relatively new biomedical imaging method.
AI helps scientists predict depression outcomes
Scientists used artificial intelligence to examine neural activity throughout the brain while study participants processed emotions.
Advanced AI boosts clinical analysis of eye images
Based on a convolutional neural network the tool is able to provide results within seconds, thus supporting the doctor with comprehensive image analysis.
Neurodegenerative diseases: Nanodiamonds in the brain
Scientists have now produced tiny diamonds, so-called "nanodiamonds", which could serve as a platform for both the therapy and diagnosis of brain diseases.
From one brain scan, more information for the AI
Researchers have developed a system thar helps machine learning models glean training information for diagnosing and treating brain conditions.
Low cost retinal scanner could help prevent blindness
Biomedical engineers have developed a portable optical coherence tomography scanner that promises to bring the vision-saving technology to underserved regions.
‘Uncanny Valley’: Brain network evaluates robot likeability
Scientists have identified mechanisms in the human brain that could help explain the the unsettling feeling we get from robots and virtual agents that are too human-like.
AR allows researchers to see patients’ real-time pain
Researchers have developed a technology to help clinicians "see" and map patient pain in real-time, through special augmented reality glasses.
Robot navigates ultrasound pill through colon
Engineers have shown it is technically possible to guide a tiny robotic capsule inside the colon to take micro-ultrasound images.
Microscopy and VR illuminate new ways to treat disease
Researchers are pairing a nanoscale imaging technique with virtual reality technology to create a method that allows researchers to “step inside” their biological data.
Machine learning: superior results for low-dose CT
Machine learning has the potential to vastly advance medical imaging, particularly CT scanning, by reducing radiation exposure and improving image quality.
Robotic technology enhances spine surgery
Spine surgery: A new robotic technology increases the safety and precision of spinal fusion surgeries while reducing the time needed for the procedure.
How AI is already helping physicians save lives
With RAPID AI, the physicians now can get find parts of the brain that are not currently getting enough blood flow within minutes.
In emergencies: AI can improve X-ray identification of pacemakers
Researchers have created new AI software that can identify cardiac rhythm devices in x-rays more accurately and quickly than current methods.
The impact of 3D printing in radiology
At ECR 2019, speakers emphasized that 3D printing enables an innovative way to display imaging, and it allows radiologists to offer clinical value to their medical and surgical colleagues.
3D models used in assessing coronary artery disease
Researchers announce critical advances in the use of 3D-printed coronary phantoms with diagnostic software, further developing a non-invasive diagnostic method for Coronary Artery Disease risk assessment.
Deep learning system automatically detects diseases
Patients could soon get faster and more accurate diagnoses with new software that can automatically detect signs of diabetes, heart disease and cancer from medical images.
Promising applications of mixed realities in medicine
At ECR 2019, researchers talked about the practical applications of mixed realities in medical education and training as well as preprocedural planning and visualization during a surgery.
AI predicts survival of ovarian cancer patients
Researchers have created new machine learning software that can forecast the survival rates and response to treatments of patients with ovarian cancer.
AI system learns to diagnose intracranial hemorrhage
Researchers have developed a system using artificial intelligence to quickly diagnose and classify brain hemorrhages and to provide the basis of its decisions from relatively small image datasets.
SubtlePET AI-powered PET increases scans efficiency
SubtlePET’s AI-powered technology allows hospitals and imaging centers to enhance images from faster scans leading to an improved patient experience during imaging procedures.
MURAB: Roboter-assisted diagnostic of breast cancer
The Murab project is developing technology that will make it possible to take more accurate biopsies and diagnose cancer and other illnesses faster.
AI may help reduce gadolinium dose in MRI
Researchers are using artificial intelligence to reduce the dose of a contrast agent that may be left behind in the body after MRI exams, according to a study presented at RSNA.