Can an AI predict the progression of multiple sclerosis in a patient over the subsequent months and years? Researchers in Belgium used machine learning to do just that – with promising results.
AI models perform increasingly well in answering medical questions. However, when it comes to explaining these answers, shortcomings become apparent, a new study shows.
Sentinel lymph node biopsies can help detect breast cancer – but not every patient benefits from the procedure. New research finds that a simple EHR prompt can prevent unnecessary surgery.
Using advanced technology from the automotive and manufacturing industries, researchers are driving medical advancement to create ‘personalised’ hip replacements.
From 45 minutes to just a few seconds: A new computer model utilises AI to examine cardiac MRI scans in the four-chamber plane, potentially offering speedy and dependable heart health evaluation.
A new smartphone face-screening tool could help paramedics to identify stroke in seconds – much sooner and more accurately than is possible with current technologies.
Undergoing an MRI scan can be a scary prospect for children. Now, a novel eye tracking controlled VR system has been tested on 23 patients aged 2 to 13, allowing them to play games and watch films.
Cancer care that utilizes telehealth and local care would generate 33.1% less greenhouse gas emissions than the traditional model, new research finds.
A combination of facial thermal imaging and artificial intelligence (AI) can accurately predict the presence of coronary artery disease (CAD), new research finds.
For many, the term “metaverse” evokes images of VR headsets and the rebranded company behind Facebook – but can the digital parallel universe provide actual benefits for healthcare? Dr Anke Diehl has studied the technology intensively and recognises significant potential for medical applications. However, the expert for digital transformation at Essen University Medicine, Germany, cautions…
A new interdisciplinary research group explores issues of explainability and comprehensibility of AI in medicine – and who is responsible when something goes wrong.
Autonomous robotic ultrasound systems could perform routine examinations and support doctors in the OR. New research shows that these systems can make everyday life easier for medical professionals.
Chatbots like ChatGPT generally deliver servicable results when asked for healthcare advice. However, new research suggests that the LLM's accuracy drops when languages other than English are used.
Physicians using a virtual scribe spend significantly less time in the eHR, a new study finds. This reduces their burden and frees up time for patient care – and AI could push this even further.
New robotic technology could pave the way for more precise MRI-guided stereotactic surgery, for example by assisting with cannula/needle targeting during deep brain stimulation (DBS) interventions.
Two companies are combining their unique expertise to develop intelligent e-skin patches to “self-sense” cardiac events in patients. The flexible patch platform will deliver a comprehensive understanding of both electrical and mechanical heart activities and has the potential to enable cardiologists to better monitor their patients.
As AI is playing an increasingly crucial role in the fields of pharmacy and medicine, Pharmaceutical Automation and Digitalisation Congress (AUTOMA+ 2024) welcomes the entire industry value chain to join the roundtable discussion on the innovative strategies that are navigating the future of pharma. The Congress takes place in Zurich, Switzerland, on 18-19 November 2024.
A prototype “smart” contact lens that measures eye pressure accurately, regardless of temperature. Detecting slight elevations in pressure, this could someday enable wireless glaucoma detection.
A tiny, flexible electronic device that wraps around the spinal cord could represent a new approach to the treatment of spinal injuries, which can cause profound disability and paralysis.
A 12-week digital weight management programme has been shown to achieve clinically meaningful weight loss in patients with high BMI plus hypertension, diabetes or both.
TikTok has become a go-to platform for young people seeking answers – including health information. But how accurate are the medical ‘Toks’? A new study analyzed the quality of the content.
‘Computer, why did the doctor take that MRI scan of my leg? And what did it show?’: Popularized by OpenAI’s ChatGPT, generative artificial intelligence (AI) is already beginning to see practical applications in medical settings. The technology holds immense potential, with benefits for patients, clinicians, and even hospital administration, according to Shez Partovi, MD.
Researchers have developed a deep-learning model that predicts the transition from a normal cardiac rhythm to atrial fibrillation 30 minutes before onset, with an accuracy of around 80%.
Surgeons often suffer from back and neck pain, due to inadequate posture during surgery. A new study uses wearable technology to prevent muscoloskeletal conditions from cutting short medical careers.
Generalist Medical Artificial Intelligence (GMAI) models pose a significant challenge to current regulatory frameworks. Experts discuss how regulation of these models could work in the future.