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How can explainable AI in medicine work?
A new interdisciplinary research group explores issues of explainability and comprehensibility of AI in medicine – and who is responsible when something goes wrong.
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.
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.
Experts at Newcastle University have discovered artificial intelligence can be used to analyse medical imaging from CT scans, which is aimed at predicting survival in patients with laryngeal cancer.
A team of Danish and Dutch researchers has combined an AI diagnostic tool with a mammographic texture model to improve the assessment of short- and long-term breast cancer risk. This new approach represents a significant step forward in refining the ability to predict the complexities of breast cancer risk.
Matching the right donor heart to the right recipient at the right time is a complex task. Now, experts point out how AI can provide unbiased decision-support for transplantation process.
Although robots are common to assist in surgery, robotic assistance is not routinely used for lung transplants. However, this might change soon, according to an expert speaking at the ISHLT meeting.
Large language models like ChatGPT have become a go-to point for health information. However, a new study uncovers a vital weakness: The AI gets confused when faced with actual scientific evidence.
Could a chatbot-like AI tool locate brain damage after a stroke? In a new study, large language model GPT-4 processed text from health histories and neurologic examinations to locate brain lesions.
Can generative AI reduce the administrative burden on healthcare professionals? In a new study, chatbot model ChatGPT shows high aptitude in producing medical record notes.
A new bioelectronic sensor enables continuous monitoring of bladder function. This could be a game-changer for people with paralysis, spina bifida, bladder cancer or end-stage bladder disease.
A team of Northwestern University scientists has developed the first wireless, implantable temperature sensor to detect inflammatory flareups in patients with Crohn’s disease.
Researchers have developed the 'iKnife', a smart scalpel that is able to recognise healthy tissue from brain tumour in seconds as it cuts, with more than 98% accuracy.
A novel AI-based, non-invasive diagnostic tool enables accurate brain tumor diagnosis, outperforming current classification methods. The tool leverages MRI information to aid clinical decision making.