Analysing long-term ECG recordings for signs of heart abnormalities such as arrhythmias is a time-consuming process. New research finds that AI is better suited for this task than humans.
It takes one to know one: Researchers have developed an AI-based evaluation tool to assess how well clinical AI tools perform in the hospital.
Using 3D imaging and deep learning AI, researchers have developed a new way to accurately assess body fat and muscle distribution, which are crucial for understanding health risks.
New AI-enabled systems, intelligent software, and imaging cloud services for improved radiology workflows: Royal Philips announces its solutions that will be showcased at ECR 2025 in Vienna.
AI-supported screening for breast cancer can detect more cancer cases compared with traditional screening, and find more invasive cancers at an early stage, results from the MASAI trial indicate.
Point-of-care diagnostics based on a combination of mobile-sized scanners and artificial intelligence (AI) are helping save the lives of women in low-resource settings. The AI technique is being applied in Kenya and Tanzania to deliver screening for cervical cancer – now the leading cause of cancer-related deaths in women in that region and a bigger cause of death than childbirth.
A new study has shown that the molecular signature of long Covid can be found in blood samples of children. Using an AI tool, the researchers were capable of diagnosing the condition with 93% accuracy.
A new deep learning model shows promise in detecting and segmenting lung tumors. The findings of the study could have important implications for lung cancer treatment.
Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.
Anyone who has exchanged a few lines of dialogue with a large language model (LLM), will probably agree that generative AI is an impressive new breed of technology. LLMs show great potential in addressing some of the most urgent challenges in healthcare. At the Medica tradefair, several expert sessions were dedicated to generative AI, its potential medical applications and current caveats.
Improved breast cancer detection, reduced workload for radiologists: The world’s largest prospective study on AI in Germany’s Mammography Screening Program reveals the technology's benefits.
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.
Ovarian cancer is common and often only detected by chance. A newly developed AI-based model could help differentiate between benign and malignant ovarian lesions.
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.
United Imaging is pleased to announce that VMR Diagnostic Center has become the first institution of its kind in Serbia to benefit from their imaging solutions.
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.
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.
US researchers have developed a comprehensive deep learning AI model designed to more accurately identify and classify cells in high-content tissue images.
The current rise in antibiotic resistance is once again sparking interest in phage therapy. Now, scientists developed a new tool that recommends the best possible phage cocktail for a given patient.
New research has shown that using artificial intelligence (AI) can improve how urinary tract infections (UTIs) are treated, and help to address antimicrobial resistance (AMR).
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.