The 2023 AACC meeting saw two exciting AI applications in lab medicine: a predictive algorithm for MS, and machine learning for detecting contaminated lab samples.
Experts have highlighted how precision pathology using Artificial Intelligence can provide an effective alternative to molecular diagnostics. This, say a team from the Karolinska Institutet (KI) in Stockholm, Sweden, can also offer multiple advantages within a clinical setting and support risk stratification.
A new AI model finds that x-ray images collected during routine medical care can provide warning signs for diabetes, even in patients who don’t meet the guidelines for elevated risk.
A new safety analysis finds AI-supported mammography analysis is as good as two breast radiologists working together to detect breast cancer, almost halving the screen-reading workload.
Researchers at Monash University have designed a new co-training AI algorithm for medical imaging that can effectively mimic the process of seeking a second opinion.
AI can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, a new study finds.
Bioinformatics students in Spain have developed a mobile app capable of detecting in a matter of seconds three of the world's most common causes of vision loss and blindness.
Robots and AI are expected to play a key role in nursing practice in the future. In this regard, researchers from Japan ask whether intelligent machines can replace humans as nurses.
Scientists have designed an AI tool that can rapidly decode a brain tumor’s DNA to determine its molecular identity during surgery — critical information that can guide treatment decisions.
Canon Medical announces the commercial availability of its two latest ultrasound systems, Aplio flex and Aplio go, in Europe, to meet the evolving needs of medical practitioners.
AI, robotics, climate change and more: Swedish researchers outline emerging technologies and trends that may define what the healthcare industry looks like in the next 50 years.
LLM-based generative chat tools such as ChatGPT or Google’s MedPaLM have great medical potential, but there are inherent risks associated with their unregulated use in healthcare.
New research shows how AI can be used to fuse images from clinical X-ray CT and MRI scans to allow a clearer and more clinically useful interpretation of the images.
What will the future structure for artificial intelligence in health imaging across Europe look like? While the algorithms show great promise in collecting, storing, analysing, and using data to advance healthcare, delegates to a session on the topic at ECR 2023 in Vienna, also heard that it was important for the use of AI to move from research and more toward practical applications for patients.…
Assistance from an AI algorithm with high diagnostic accuracy improved radiologist performance in detecting lung cancers on chest X-rays and increased human acceptance of AI suggestions.
While it’s true that AI holds tremendous potential for improving the science and practice of psychotherapy, it remains a definitively high-stakes area. Stanford experts define the potential benefits and concerns of deploying the technology.
US researchers evaluated AI techniques for cleaning medical images based on performance in clinical tasks. Some algorithms make the scans look better, but actually decrease image quality.
Chatbots are increasingly becoming a part of health care around the world, but do they encourage bias? New research from the University of Colorado School of Medicine hints at this possibility.
AI could find critical biomarkers that predict non-response to conventional treatment in patients with chronic myeloid leukaemia (CML) more quickly, researchers in Singapore find.
A new study suggests that deep learning–based computer-aided diagnosis (CAD) for breast lesion classification on ultrasound can significantly improve radiologists' diagnostic performance.
A team of researchers from Denmark have developed a new AI framework to address the number of strokes that go unrecognised by human emergency call handlers.
A University of Arizona Health Sciences-led study found that more than 50% of people don't fully trust AI-powered medical advice, but many put faith in AI if it's monitored and guided by human touch.
AI, as used in ChatGPT, can generate credible medical information in response to common patient questions, a research team from Taiwan and the US found. However, some critical pitfalls remain.
The latest version of ChatGPT passed a radiology board-style exam, highlighting the potential of large language models (LLM) but also revealing limitations that hinder reliability, new research shows.
Japanese researchers have found that natural language processing might be an effective tool to analyze specific speech changes of patients with Parkinson's disease, allowing for better diagnosis.