Hologic, Inc. unveils new research in artificial intelligence (AI) and offering innovative educational opportunities at the annual European Congress of Radiology (ECR) in Vienna, Austria.
PPE compliance, air and environment monitoring, antibiotic treatment decision support: AI has great potential to help prevent infectious disease outbreaks, a review at the upcoming ECCMID points out.
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…
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…
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.
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.
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.
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.
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.
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.
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…
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.