GE Healthcare introduces Sonic DL, an FDA-cleared AI deep learning technology that accelerates cardiac MRI scans. By capturing high-quality images within a single heartbeat, Sonic DL eliminates the need for multiple breath-holds and expands…
Continue Reading
Artificial intelligence (AI) has extraordinary potential to enhance healthcare, from improvements in medical diagnosis and treatment to assisting surgeons at every stage of the surgical act, from preparation to completion.With machine learning and deep…
Continue Reading
A Machine-Learning tool accurately triages patients with respiratory symptoms before primary care visits, according to a study. By categorizing patients into risk groups, unnecessary interventions like chest X-rays can be reduced for low-risk individuals,…
Continue Reading
The interpretation of lung auscultation is highly subjective and relies on non-specific nomenclature. Computer-aided analysis has the potential to better standardize and automate evaluation. We used 35.9 hours of auscultation audio from 572 pediatric…
Continue Reading
Serious clinical complications (SCC; CTCAE grade ≥ 3) occur frequently in patients treated for hematological malignancies. Early diagnosis and treatment of SCC are essential to improve outcomes. Here we report a deep learning model-derived SCC-Score to…
Continue Reading
GE HealthCare announced it received FDA 510(k) clearance for its Precision DL deep learning image processing software. Precision DL utilizes deep learning, a subset of AI and machine learning, to improve image quality on the…
Continue Reading
A new AI model for diagnosing sleep apnea has been developed by a research team at Seoul National University Bundang Hospital.The deep learning model analyses cephalograms, focusing on the tongue and its surrounding structures,…
Continue Reading
Standard clinical interpretation of myocardial perfusion imaging (MPI) has proven prognostic value for predicting major adverse cardiovascular events (MACE). However, personalizing predictions to a specific event type and time interval is more challenging. We…
Continue Reading
Advancements in deep learning and computer vision provide promising solutions for medical image analysis, potentially improving healthcare and patient outcomes. However, the prevailing paradigm of training deep learning models requires large quantities of labeled…
Continue Reading
Tom McCann, Growth Strategy & Business Development, InstabaseThe prevailing global economic conditions are negatively impacting the healthcare industry. Continuing staff shortages, endemic COVID-19, high inflation rates, and supply chain disruptions continue to drive medical…
Continue Reading
