Top AI, emerging-tech stories in radiology and cardiology over the past 30 days
From AIin.Healthcare’s sister outlets Cardiovascular Business, Health Imaging and Radiology Business:
Samsung scores FDA clearance for artificial intelligence aid that helps detect lung nodules (Oct. 29)
AI developed during high-profile competition rivals radiologists’ lung cancer predictions (Oct. 28)
First in-human study highlights benefits of dark-field imaging for early pulmonary disease detection (Oct. 27)
FDA clears software for enhancing CT, MR and X-ray images (Oct. 26)
Researchers unveil first three-photon PET scanner with big implications for cancer care (Oct. 26)
Whole-body MRI paired with artificial intelligence detects Type 2 diabetes with no additional data (Oct. 26)
Deep learning predicts metastasis probability in patients with non-small cell lung cancer (Oct. 26)
Deep learning applied to chest radiographs efficiently identifies early interstitial lung disease (Oct. 25)
New AI technology developments consistently recognize medical image anomalies (Oct. 22)
AI predicts cancer risk from lung screening CTs, clinical data without radiologist assistance (Oct. 20)
Artificial intelligence matches radiologists at predicting patients’ emphysema severity (Oct. 18)
New clinical trial focused on AI-powered CAD evaluations opens enrollment (Oct. 15)
Why deep learning trained on radiologist-labeled data may be worth added time, costs (Oct. 12)
AI in radiology is just getting started, but these 4 lessons can help practices prepare (Oct. 11)
AI firm targeting ultrasound with 100 times greater sensitivity raises $25M (Oct. 11)
AI-based mammography triage helps providers dramatically improve interpretation process (Oct. 7)
AI drops tracer dose required for PET/MRI by 50%, a potential ‘major’ boost for cancer care (Oct. 7)
Artificial intelligence for LVO stroke detection could save $11M annually, model estimates (Oct. 6)
AI triages breast screening MRIs without missing a single cancer (Oct. 5)
Artificial intelligence deters one-sixth of medical students from pursuing radiology (Oct. 4)
AI-based free-text image ordering may save federal CDS mandate from overburdening providers (Oct. 1)
Dave P. has worked in journalism, marketing and public relations for more than 30 years, frequently concentrating on hospitals, healthcare technology and Catholic communications. He has also specialized in fundraising communications, ghostwriting for CEOs of local, national and global charities, nonprofits and foundations.