Ultrasound imaging is primarily known from prenatal care, but sonography is also used in many other places: it is just as indispensable for examining the thyroid and abdomen as it is in cardiology. Read all about application examples, new technology and more.
Performed inaccurately, cannulation of major veins is associated with complications like pneumothorax or artery puncture. Chinese researchers propose a new ultrasound-guided method for more accuracy.
An ultrasound examination performed by a robot can cause distress in some patients. Munich researchers have now developed a VR avatar system that makes the process feel more human.
A new ultrasound helmet capable of influencing deep brain regions without surgery opens up new possibilities for neurological research and treatment of disorders such as Parkinson’s disease.
New AI-powered solutions for cardiac ultrasound: Italian medical imaging specialist Esaote will be present at the European Society of Cardiology (ESC) Congress 2025, which starts today (29th August) in Madrid.
Using ultrasound imaging, researchers measure the wall thickness of the aorta from within a patient's body, to predict with higher accuracy whether an aneurysm will rupture or not.
Medical imaging methods are often affected by background noise, which can obscure fine anatomical details. A new approach to solve this problem draws inspiration from quantum mechanics.
A new method to monitor blood flow in the brain helps neurosurgeons detect the risk of a stroke during surgery – and potentially prevent it. This could also be useful for other types of operations.
A neural network AI has been trained to detect cardiac amyloidosis from a single echocardiogram video of the heart's apical four-chamber view and differentiate it from similar heart conditions.
Maternal contractions during childbirth put considerable stress on a baby's heart. Using a new ultrasound technique, researchers were able to predict complications necessitating C-section.
Using AI to analyse ultrasound scans can detect up to 35% more risk pregnancies than scans performed by healthcare professionals without AI decision support, according to new results.
Announcing the first edition of the MSK Imaging in Sports Medicine, with the unrestricted support of Esaote. The event will take place on May 30, 2025, in Florence, Italy, at Viola Park, one of the largest sports centers in Europe.
Despite previous global declines, pulmonary tuberculosis (TB) is on the rise again. A new AI-powered lung ultrasound shows promise in improving diagnostic performance of TB.
To diagnose prostate cancer, an MRI-guided biopsy is often performed. Now, a study shows that micro-ultrasound is just as effective, cheaper and easier to use. This could help free up MRI capacities.
A greater emphasis on AI and sustainability, new approaches to mitigating staff shortage and more: At the European Congress of Radiology (ECR) 2025 in Vienna, Philips showcased its approaches to several critical issues in diagnostic imaging. The global healthtech company presented solutions addressing today's healthcare challenges while aligning with the congress's "Planet…
For Esaote, a leading Italian innovator in medical imaging - ultrasound, dedicated magnetic resonance and medical IT - the mission is to develop new technologies that can help advance diagnosis and improve patient care. Esaote has always leveraged continuous innovation as the key driver of its business strategy. This approach is also embodied in its three business areas.
Ovarian cancer is common and often only detected by chance. A newly developed AI-based model could help differentiate between benign and malignant ovarian lesions.
Mindray, one of the world's leading developers and providers of advanced medical imaging devices and solutions, launched Resona A20, a premium ultrasound system, at EUROSON 2024 in Naples, Italy.
The journey of a baby through the birth canal can be fraught with obstacles and risks. A new AI-based tool to evaluate the head position of the baby could lead to fewer childbirth complications.
Recent developments in deep learning techniques are enhancing clinical imaging quality and reducing radiation exposure for patients while also maintaining diagnostic accuracy. The latest AI (artificial intelligence) component to clinical imaging – referred to as deep learning reconstruction (DLR) – is having a particular benefit in paediatric imaging, according to Dr Samuel Brady from…
