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 • LLM-based mental health detection

AI model could help prevent suicide in hospital patients

Large language models (LLM) show promise in detecting hospital patients at risk of committing suicide. This could help warn medical staff in time while maintaining the patients' privacy.

Photo

Article • AI-assisted image analysis

More accuracy in brain tumour segmentation

Precise segmentation of anatomical structures greatly benefits cancer diagnosis. Using AI and deep learning methods, researchers are developing a high-precision 3D viewer software for medical image…

Photo

News • R&D platform

Integrating AI into clinical workflows for medical imaging

To advance the transition of AI from research to clinical application, Nvidia announced that Siemens Healthineers has adopted MONAI, an open-source medical imaging framework.

Photo

News • Security and surveillance software

AI risk detection for healthcare security and patient safety

Detection of patient falls, unauthorized intrusions on hospital premises, and more: A new suite of AI tools is designed to enhance healthcare security and patient safety surveillance.

Photo

Article • Artificial intelligence meets internal medicine

Medical AI: Enter ‘dea ex machina’

In the world of theatre, the ‘deus ex machina’, the god from the machine, is a dramaturgical trick to resolve seemingly unsolvable conflicts. Can artificial intelligence (AI) also be such a…

Photo

News • Deep learning advances

New AI model for cell segmentation and classification

US researchers have developed a comprehensive deep learning AI model designed to more accurately identify and classify cells in high-content tissue images.

Photo

Article • Generative AI

Large language models: enabler or eroder of cardiovascular care?

Large language models (LLMs) have potential in healthcare settings to help support both patients and clinicians. Cardiologist Dr Robert van der Boon believes they could have several applications, including patient communication and education, clinical decision support and administrative tasks. Delegates to ESC 2024 in London heard roles explored for LLMs in areas of clinical decision-making,…

Photo

Article • Product presentations at Medica 2024

Taiwan offers AI support for surgeons

Future-oriented large-scale investments on the one hand, political unrest on the other: The presentation of award-winning medical technology from Taiwan at Medica in Düsseldorf reflected a year full of changes and challenges. The prize-winning solutions for surgery, intensive care medicine, traumatology and endoscopy once again attracted a large professional audience.

Photo

Article • PACS administrators as quality control monitors of algorithms

The “watchdogs” of AI radiology tools

Radiology AI products are a whole new world. So is running them safely and efficiently in production. At the 2024 Society for Imaging Informatics in Medicine (SIIM) Annual Meeting, an expert outlined how new skills and resources are needed to use these AI tools – and how PACS administrators could evolve their position to fit this important role.

Photo

Sponsored • GI Genius enters NAIAD large-scale clinical trial

AI making earlier detection of colorectal cancer possible

Early detection is crucial for effective treatment of colorectal cancer, but the initial stages are easily missed during endoscopy screenings. With GI Genius, Medtronic presents an AI-powered tool to help detect precancerous lesions in real-time. In an upcoming large-scale trial, the intelligent endoscopy module will demonstrate its benefit in the clinical context.

Photo

News • Improved image quality, reduced radiation dose

Benefits of deep learning reconstruction in paediatric imaging

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…

Photo

Article • Future treaments discussed at senology congress

How will we treat breast cancer in 2034?

The year: 2034. Breast cancer patients benefit from perfectly personalised diagnostics and therapies. The tedium of follow-up treatments is a thing of the past, thanks to AI, augmented reality and robotics. Just a tale from the realm of science fiction, or could this soon be clinical reality? At the annual meeting of the German Senologic Society, Prof Dr Marc Thill from the Agaplesion Markus…

648 show more articles
Subscribe to Newsletter