Philips and Mayo Clinic Collaborate to Enhance Cardiac MRI with AI
Philips and Mayo Clinic collaborate to improve cardiac MRI using AI, enhancing efficiency and patient experience. π«π€
December 11, 2024
Follow us
latest articles
Discover the newest research about AI innovations in π§ͺ Lab Medicine.
Milestone Achieved in Northern Ireland’s Laboratory Services IT Upgrade
Northern Ireland’s laboratory services have completed phase three of the CoreLIMS programme, enhancing digital healthcare. π₯π»
November 28, 2024
New High-Sensitivity Test Could Expedite Heart Attack Diagnosis
New high-sensitivity cardiac troponin test may allow 60% of patients with heart attack symptoms to be safely sent home. π₯β€οΈ
November 26, 2024
ClickGen: Directed exploration of synthesizable chemical space via modular reactions and reinforcement learning.
ClickGen enhances molecular design using AI, ensuring high synthesizability and bioactivity in cancer research. π§¬π‘
November 25, 2024
Precision Metrics: A Narrative Review on Unlocking the Power of KPIs in Radiology for Enhanced Precision Medicine.
Key performance indicators (KPIs) in radiology enhance precision medicine, ensuring safety and improving diagnostic accuracy. ππ©»
September 30, 2024
Evolving capabilities of computed tomography imaging for transcatheter valvular heart interventions – new opportunities for precision medicine.
Recent advancements in MDCT enhance precision in heart valve interventions. π« This review highlights innovative imaging techniques for improved patient care. π
September 30, 2024
A microRNA diagnostic biomarker for amyotrophic lateral sclerosis.
A recent PubMed article highlights an eight-microRNA diagnostic signature for amyotrophic lateral sclerosis. π§¬π¬ Promising for patient outcomes!
September 17, 2024
Radiomics and quantitative multi-parametric MRI for predicting uterine fibroid growth.
New research highlights a predictive model using MRI to assess uterine fibroid growth rates. ππ©» Promising clinical implications ahead.
September 16, 2024
Enhancing reginal wall abnormality detection accuracy: Integrating machine learning, optical flow algorithms, and temporal convolutional networks in multi-view echocardiography.
Recent research enhances RWMA detection using machine learning and multi-view echocardiography. Promising results for early MI diagnosis! π«π
September 13, 2024