New insights on the degradation of implantable chips in the body could lead to enhanced longevity of the chips and better treatments for patients with Parkinson's or clinical depression.
Researchers have developed an AI-based model to better predict whether cancer patients will benefit from immunotherapy — using only routine blood tests and clinical data.
Can an AI determine whether or not a person drinks beer by looking at their knee X-rays? It can't – but the claim shows why “shortcut learning” is such a dangerous mechanism in medical AI.
US engineers turned to the world of parasites as inspiration to affix small-scale medical devices to the GI tract or other soft tissues for sensing, sample collection, and extended drug release.
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.
Opposing views on new implantable cardiac devices were aired in a Great Debate session at the European Society of Cardiology’s annual 2024 congress in London. Experts discussed emerging techniques and technologies and debated whether they are actually ready for clinical application. At the core of the session was the issue of whether conduction system pacing (CSP) should replace cardiac…
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 data.
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.
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.
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 universal problem solver for internal medicine? At the Annual Congress of the German Society of Internal Medicine (DGIM), Dr Isabella Wiest explored the potential – and limitations – of AI helpers.
Monitoring brainwaves and diagnosing neurological conditions could benefit from a novel 3D printing technology, which applies liquid ink onto a patient’s scalp to measure brain activity.
US researchers have developed a comprehensive deep learning AI model designed to more accurately identify and classify cells in high-content tissue images.
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,…
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.
A new study investigating the impact of AI in healthcare shows that using LLMs to process thousands of patient records daily across multiple hospitals could lead to substantial resource consumption.
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.
Imitation learning could open a new frontier in medical robotics: Researchers 'taught' a robot to mimic a surgical procedure by watching the surgeons' performance.
Scientists have developed a novel method for deploying several magnetic miniature robots which can easily navigate through a 3D matrix resembling a network of blood vessels.
To reduce the burden of hospital staff and optimise working conditions, Linak and Tente are presenting an innovative solution for patient transport at the hospital bedside at Medica in Düsseldorf.
To take cell therapy in regenerative medicine to a new level, experts consider 3D bioprinting a key technology. However, there are still quality issues that need to be overcome to achieve this.
Swift Medical, a pioneer in digital wound care, has unveiled its new Skin & Wound 2 platform.
How can innovations help to master challenges and demands in healthcare? This central question will be addressed at the Medica Health IT Forum, an established part of the programme at the trade fair.
UK scientists are harnessing the power of AI to assess the antimicrobial resistance of patients in intensive care units (ICUs) and identify sepsis-causing bloodstream infections.
A newly-developed wearable camera system is designed to detect potential errors in medication delivery by identifying contents of vials and syringes with the help of deep-learning AI.
Taipei City is set to make a splash at the Medica 2024 trade fair. The city's Department of Economic Development has curated an exhibition area, featuring six innovative biotech companies.