Photo:

AI

With the help of artificial intelligence, computers are to simulate human thought processes. Machine learning is intended to support almost all medical specialties. But what is going on inside an AI algorithm, what are its decisions based on? Can you even entrust a medical diagnosis to a machine? Clarifying these questions remains a central aspect of AI research and development.

Photo

News • Product premiere

New ultrasound system uses AI for better workflow and connectivity

Italian imaging company Esaote premiered its latest premium ultrasound system, MyLab X90, which uses AI for workflow optimization and enhanced connectivity.

Photo

News • Strand-seq

AI analysis of cancer mutations: a promising step towards new therapies

Combining single-cell data with a self-learning algorithm reveals how structural changes in chromosomes can trigger cancer. This could pave the way for personalized cancer treatments.

Photo

News • AI, DR, mobile imaging

20 new patents for advances in medical imaging

Medical imaging company Carestream Health has expanded its portfolio with 20 new patents for global advances in AI, image quality, digital radiography (DR) detectors and mobile imaging.

Photo

News • Message from our partner

Ride the digital transformation wave with Automa+ Healthcare 2023

Healthcare Automation and Digitalization Congress 2023 is held on September, 25-26, 2023, in Zurich, Switzerland. Automa+ 2023 gathers leaders and digital experts from hospitals, healthcare providers…

Photo

News • Primary tumor or metastasis?

Deep learning and radiomics for precise differentiation in brain tumors

The distinction between primary tumors and metastases can be made quickly and accurately in brain tumors using radiomics and deep learning algorithms, a new study shows.

Photo

News • Deep learning analysis of X-rays

AI used to triage patients with chest pain

Artificial intelligence (AI) may help improve care for patients who show up at the hospital with acute chest pain, according to a new study published in Radiology.

Photo

Article • Centralised image library and archive

From regional to national: digital pathology network transformation

Transforming a regional digital pathology network into a national programme across the UK has the potential to save the NHS around £100m a year. Such a network – one that sees a centralised digital pathology image library and archive, as opposed to individual hospitals having their own infrastructure and teams to manage it – can also offer a range of other benefits alongside significant cost…

Photo

Article • Image augmentation, interpretation and evaluation

AI in multimodality hybrid imaging: a diamond in the rough

AI-based models for multimodality hybrid imaging have the potential to be a potent clinical tool but are currently held back by a lack of transparency and maturity, says Dr Irène Buvat, from the Laboratory of translational Imaging in Oncology, Institute Curie in Paris, France. During a webinar of the European Society of Radiology, the expert provided a roundup on the benefits and current…

Photo

Sponsored • Digital solutions for radiology

How to accelerate healthcare innovation in AI

Tapping the thriving Radiology AI ecosystem, Bayer recently announced three collaboration agreements for its digital platform, Calantic Digital Solutions, as well as an AI accelerator program.

Photo

Article • Radiology & artificial intelligence

How to integrate AI in the clinical workflow: 7 lessons

In radiology, it is not about if but about when artificial intelligence (AI) will be used, said Professor Dr Tim Leiner of Utrecht University Medical Center at this year’s European Congress of Radiology in Vienna. For all those who are new to AI, the Dutch radiologist gave an overview of the lessons he and his team have learnt so far.

Photo

Article • AI-based personalized medical care

I³lung: EU launches lung cancer initiative

This summer, The European Commission launched I3lung, a new research initiative as a part of Horizon Europe, the EU’s research and innovation program. This research initiative aims to create a cutting-edge, decision-making tool to help clinicians and patients select the best lung cancer treatment based on each patient’s specific needs and circumstances.

Photo

Article • Visceral imaging

Endosonography: AI takes on the “supreme discipline”

Endosonography poses unique challenges for medical professionals, because two demanding disciplines have to be mastered at the same time. The use of artificial intelligence (AI) could help speed up the notoriously slow learning curve of the procedure, says Prof Dr Christoph F. Dietrich. At the Visceral Medicine Congress in Hamburg, the expert explained how AI can help endosonography achieve…

Photo

Article • Targeted Real-time Early Warning System for hospitals

Early detection of sepsis with the help of AI

Sepsis, a life-threatening, systemic, toxic bodily reaction to infection, is often difficult to detect in its early stages. Its symptoms, including fever, shortness of breath, rapid heart rate, and confusion, are associated with many medical conditions of hospitalized patients. But if not treated rapidly, a patient may die. The Targeted Real-time Early Warning System (TREWS) for sepsis detection…

451 show more articles
Subscribe to Newsletter