Stroke imaging specialist RapidAI hires new CEO |
Immediate radiology report access leads to influx of patient questions for 78% of providers |
UnitedHealthcare launches program steering patients toward low-cost imaging centers |
MRI-based prostate cancer screening paired with new blood test can reduce deaths by up to 9% |
AI system to help neuroradiologists detect brain aneurysms has ‘major’ potential for clinical practice |
FDA greenlights Vuze Medical's software imaging system used during spinal operations |
20% of medical students are not familiar with ACR Appropriateness Criteria |
15% of patients admit to skipping imaging exams, other care due to out-of-pocket costs |
RSNA launches its first imaging AI certificate program |
3 obstacles radiologists must overcome before routinely offering virtual patient consultations |
Medical isotope shortage looms as 'unplanned' outage halts Mo-99, Lu-177 production |
Arizona State University home to new 9.4T cryogen-free MRI system |
AI-assisted pneumothorax detection via chest radiographs reduces invasive procedures for patients |
Machine learning uses CT images to predict survival odds of melanoma patients |
Intelerad Appoints Jean Boyle Vice President of Global Professional Services as Part of Ongoing Commitment to Client Delivery Excellence |
Agfa appoints Scott Evers as Senior Vice President & North American Business Leader |
LEGO's miniature MRI models help comfort nervous kids before exams |
Boston researchers hope PET-MRI brain scans will shed light on 'long-COVID' symptoms |
Radiologists must change their approach to stroke care in the AI era |
Preoperative shear-wave elastography can predict success of rotator cuff repair |
Quality improvements reduce biopsy wait times for patients with suspicious breast MRIs |
PSMA-PET validates commonly used system measuring risk of prostate cancer recurrence |
Are LDCT lung screening programs overdiagnosing cancer? |
Simple quality improvement measures reduce problematic CT overuse for liver imaging |
Up to 63% of additional findings from CT-guided procedures are not included in procedural reports |
Cleveland Clinic to utilize brain MRIs in massive 20 year neurological disease study |
MRI-based measurements can predict urinary continence after prostate surgery |
Only 21% of U.S. hospitals comply with price transparency mandate for shoppable imaging exams |
Cervical cancer screening rates are dropping, with some groups particularly behind |
AI drops DBT workloads for radiologists by 40% while also reducing recalls |
Imaging company's security incident hits patients in their wallets |
Emergency providers, radiologists must communicate critical reports more effectively |
6 tips for making MRI exams more autism-friendly |
Rural veterans less likely to get LDCT lung cancer screenings, prompting doctors to call for change |
ASRT student enrollment survey reveals decreases across radiography, impact of COVID on programs |
Unusual pattern on PET/CT may indicate COVID omicron variant |
Transparent AI platform shows radiologists its decision-making blueprint for diagnosing breast cancer |
Stand-alone AI for lung cancer screenings could reduce radiologist workloads by 86%, study suggests |
Strategic Radiology names CMO, Sectra’s executive hire and more radiology leadership news |
Telerobotic ultrasound improves imaging access to underserved communities |
Abbreviated MRI outperforms DBT for detecting secondary breast cancer |
INFINITT announces Partnership with Lunit, a Leading Developer of AI Solutions for Medical Imaging |
Researchers are developing a modified MRI protocol to help treat brain hemorrhages |
Machine learning combined with PET/CT can predict heart attack risk |
‘Little downside’: Structured templates do not increase radiology reporting times |
Doctors suggest performing whole-spine MRI scans for suspected child abuse victims |
Consortium in the UK to transform patient diagnostics with Sectra imaging system |
7 tips for attracting first year medical students to radiology |
Nanox touts new AMA CPT code as ‘validation’ of its cardiac imaging platform |
Deep learning decreases CT radiation dose by 65% in patients with liver metastases |
Less experienced radiologists are more susceptible to fatigue when reading DBT exams |
Modality log files show patient motion during MR exams costs radiology departments time and money |
How radiologists can avoid becoming ‘invisible’ in the artificial intelligence era |
Imaging during total hip replacement surgery is cost-effective, new research reveals |
Virtual radiology residency interviews 'very successful' but future processes remain uncertain |
Convolutional neural network pipeline has 100% accuracy distinguishing between COVID and pneumonia |
Face masks pulled below the mouth still cause artifacts during dental X-ray exams, experts warn |
'Worrisome trends': Burnout causing 36.9% of neuroradiologists to contemplate early retirement |
Combining functional MRI scans with eye tests could help stroke survivors recover lost vision |
Radiologists don’t see eye-to-eye with other providers on fluoroscopic swallow studies |
Doctors pilot mobile stroke unit equipped with low-cost MRI machine |
Diagnostic imaging does not benefit patients seeking chiropractic care for lower back pain |
'Rushing' radiographer exposes child to 50 times recommended radiation dose during exam |
Machine learning model accurately predicts DCIS upstaging without invasive surgery |
Checklist training boosts radiology resident competency in obtaining informed patient consent |
New MRI technique earlier detects multiple sclerosis, potentially improving treatment approaches |
Ultrasound outperforms four other modalities at assessing margins during breast surgery |
8 simple tips to help radiologists work smarter, not harder |
Transvaginal ultrasound and MRI are key to surgical planning for endometriosis |
Bolus tracking with individualized delays for abdominal multiphase CT beats fixed delay protocols |
Lack of transparency in FDA-regulated AI and ML imaging software has doctors concerned |
Junior and senior radiologists benefit from AI assistance when identifying pulmonary nodules |