AI

Article • Imaging in characterisation and classification of tumour types

Taking a closer look at breast cancer

Breast cancer has no “one size fits all” therapy approach: subtypes differ significantly in malignancy, progression, and treatment response. Therefore, the more is known about the type of carcinoma in a patient, the better the outcome. At the annual scientific EUSOBI meeting in Valencia, Dr Ramona Woitek pointed out the potential of novel imaging techniques and computational image analysis…

Article • Imaging controversial

MRI breast cancer screening of high-risk women: benefits outweigh drawbacks

Breast MRI is increasingly being used as a primary breast cancer screening exam for young women. It brings benefits in women with dense breasts, who are at an elevated risk of developing breast cancer. The technique is also being ordered as a supplemental screening exam following mammography or breast ultrasound for women of all ages at high risk. But use of breast MRI as a screening tool is…

News • Imaging equipment

Fujifilm presents new MRI scanner at ECR 2024

Fujifilm Healthcare Europe will present its Echelon Synergy MRI system at the European Congress of Radiology 2024. The 1.5 T scanner employs AI features to enhance image quality and scanning speed.

News • Portable diagnostic tool

Breast cancer detection: New program tracks tumour heat

Researchers in Singapore have developed an AI-based software to assist in the early detection of breast cancer. Using thermal imaging, the program assesses the malignancy of a tumour.

News • Mitosis profiling

AI tool helps grade cancer based on cell divisions

Ahead of World Cancer Day on 4 February, scientists are revealing a cutting-edge artificial intelligence (AI) tool designed to help grade cancer, by analysing cell division.

News • Appeal for better approval conditions

AI in personalised cancer medicine: “A fundamental change is needed”

AI technology holds promise for personalised cancer therapies. However, rigid and slow approval requirements impede its introduction, say experts – and point out how this might be changed.

News • Machine learning in sample analysis

Lab-trained pathology AI meets real world: ‘mistakes can happen’

AI models are highly capable in analysing tissue samples – as long as conditions are lab-perfect. Add a little contamination, however, and diagnostic accuracy goes out the window, a new study shows.

News • Joint considerations

Radiology societies address AI implementation in medical imaging

Radiology is inextricably linked with AI – but what should the future of the technology be for medical imaging? Five leading societies have published a joint paper addressing the challenges.

Article • Experts explore impact of technology

AI in radiology: helper or bane of society and the environment?

The climate crisis and AI – arguably two of the most hotly-debated and relevant topics of our time – share an intricate relationship: While computation of complex AI routines commands an immense carbon footprint, it is these algorithms that might be the very key to mitigate the effects of global warming. In a dedicated session at ECR 2023, radiologists explored the societal and environmental…

News • Finding therapy-relevant genetics

Leukaemia: AI provides support in diagnostics

Certain genetic features are crucial for treatment decisions for AML leukaemia. A team from Münster shows how an AI-based method can predict these features from images of bone marrow smears.

News • Prevention through geometry

AI-designed catheter could help prevent bacterial infections

With the help of AI, a team at Caltech has designed a new type of catheter tube that impedes the upstream mobility of bacteria, without the need for antibiotics or chemical antimicrobial methods.

News • Emergency decision assistance

Research: In-ambulance AI support could save more lives

If healthcare professionals could get support making fast-paced, life-critical decisions from an AI tool, more lives could be saved, according to new research results from Sweden.

News • Algorithm detects emotional state

AI face detection as support for psychotherapy

A feasibility study by Swiss researchers shows that AI systems are able to reliably predict therapeutic success in patients with borderline personality pathology by detecting emotions on their face.

News • Automa+ Congress

Towards tomorrow: Insights from Zurich on pharma's progressive trajectory

The Automa+ 2023 congress has brought fascinating insights into the pharmaceutical landscape. This article distills highlights from the congress, illuminating the paradigm-shifting strides that are set to propel the pharmaceutical industry into a future characterized by interconnected, empathetic, and forward-thinking practices.

News • Award-winning research publication

Evaluating brain tumours with AI

Can AI help better evaluate images of brain tumours? A publication from German researchers on this topic presented at this years' ICIS conference won the Best Paper Award.

News • Technology assessment

AI in medical research: Promise and challenges

A powerful tool, but the need for human judgment remains: In an editorial published in PNAS Nexus, Monica M. Bertagnolli assesses the promise of AI and machine learning to study and improve health.

News • Optoacoustic imaging method RSOM

AI tells diabetes severity from the skin

Using AI and optoacoustic imaging, researchers have developed a new method to assess microvascular changes in the skin – and thus the severity of diabetes in the patient.

News • Literacy on new technologies

Should AI enter medical education curricula? Yes, say students

AI plays an increasingly important role in medicine – and this should also be reflected in medical curricula. New work from an international team suggests how this could be done.

Article • Digital breast tomosynthesis

Transforming breast screening: The role of AI in improving reading workflow

While having more centers adopt digital breast tomosynthesis (DBT) for breast cancer screenings into their practice is a positive change, it also presents some challenges for radiologists—particularly the increased number of images for radiologists to review. This challenge has paved the way for AI to offer innovative workflow solutions for radiologists that do not sacrifice accuracy.

News • Battle of the AI large language models

Elicit: A better ChatGPT for medical research?

Researchers explored the potential of two generative AI models for answering clinical questions and literature selection for medical research – one fared signifcantly better than the other.

News • WSI-based analysis

AI-driven classification of diffuse gliomas skips molecular testing

Research from Shenzhen proposes an integrated diagnosis model for automatic classification of adult-type diffuse gliomas directly from annotation-free standard whole-slide pathological images.

News • Susceptibility detection in Escherichia coli

How AI can detect antibiotic resistance in 30 minutes

A new deep-learning approach to AMR testing has been shown to detect antimicrobial susceptibility within as little as 30 minutes - significantly faster than current gold-standard approaches.

News • Opportunistic screening using chest X-rays

AI identifies non-smokers at high risk for lung cancer

Incidence of lung cancer among people who never smoked is rising. A new AI tool opens the door for opportunistic screening for this group, using existing chest X-rays in the electronic medical record.

Article • Trade fair presence

Taiwan blends tech and tradition at Medica 2023

AI features for automation, integrated systems and more: the role of medical technology has never been as vital as today, and MedTech companies from Taiwan are putting their best foot forward to contribute. At the 2023 Medica trade fair, visitors of the Taiwanese pavilion not only had the opportunity to see the latest medical products on display, but also get acquainted with Taiwanese culture in…

Article • Technology overview and outlook

AI in healthcare: Significant potential – and serious obstacles

Sure, AI still has a long way go. But maybe one day in the not-so-distant future, AI will provide us with information about our current state of health, such as the number of red blood cells, cholesterol levels, fat percentage, and how many seconds last night's beer will shorten our life expectancy.

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