AI has the power to transform healthcare, but trust gaps among clinicians and patients threaten to slow adoption and impact, the 10th annual Future Health Index (FHI) report reveals.
Reading an LLM-generated recap to get the gist of a scientific publication? Not a good idea, a new study finds: Most leading chatbots exaggerate the findings – prompting for more accuracy even makes things worse.
A new AI tool called PERISCOPE should help healthcare providers determine which patients need extra monitoring to protect them from wound or lung infections, UTIs or sepsis.
Using AI to analyse ultrasound scans can detect up to 35% more risk pregnancies than scans performed by healthcare professionals without AI decision support, according to new results.
Researchers incorporated a specialized breath sensor within the fabric of a face mask to detect metabolites associated with chronic kidney disease. Initial tests showed promising results.
Multiple sclerosis often transitions from a relapsing-remitting to secondary progressive form, which requires different treatment. Now, an AI model can determine this change with 90% certainty.
To lower the incidence of spine issues, bus stops across Croatia have been transformed to let people check their posture. The goal is to raise awareness and combat reluctance to see a physiotherapist.
GPs may soon be able to identify patients with an increased risk of lung cancer up to 4 months earlier with an algorithm created by researchers based on the data of more than half a million patients.
Radiation safety experts developed a multi-purpose detector with a wide range of tools for different uses into a small package. For example, the detector detects all four kinds of ionizing radiation.
While generative AI shows immense potential for healthcare, a critical reliability issue lurks beneath the surface: LLMs don't think like doctors do, a data science expert explained at the Emerging Technologies in Medicine (ETIM) congress in Essen. This potentially fatal flaw, however, may be fixable, he suggested.
Using vibrations to help people living with Parkinson's disease regain motor control: Engineering students have created a special glove that aims to reduce the symptoms of the condition.
Medical digital twins can help predict diseases, but are vulnerable to cyberattacks that can lead to incorrect diagnoses. Researchers have developed a new defense system to address this threat.
A network of artificial neurons imitating the human brain could help identify patients at risk of a serious arrhythmia from an ECG and avoid many cases of sudden cardiac death, a new study suggests.
Smaller than a grain of rice: US engineers have developed a pacemaker so tiny that it can fit inside the tip of a syringe — and be non-invasively injected into the body.
With the Eluxeo® 8000 system, Fujifilm Healthcare Europe is bringing their latest in endoscopy to European markets. The system – the first in an all-new series – features new therapeutic capabilities, workflow management and improved image quality.
By using AI to analyse ECG data, researchers created an algorithm to predict the biological age of the heart. This could be used to identify those most at risk of cardiovascular events and mortality.
Engineers developed a robotic probe that can generate high-resolution 3D ultrasound images from deep inside the gastrointestinal tract. The robot reaches its target with a unique kind of movement.
Cyberhealth threats such as the hacking of a medical implant are of real concern as technology moves toward smart, wirelessly connected implants. A new security protocol aims to protect these devices.
Assistive AI systems are designed to ease the workload of physicians. However, implementation of the technology could actually worsen challenges related to error prevention and burnout, experts warn.
Could a t-shirt with sensors reduce the time patients need to stay in hospital after a urological surgery? A recent pilot study suggests it might.
A rigorous review of evidence showed that AI-assisted technology helps identify colorectal polyps. However, its impact on preventing colon cancer remains unclear.
A new study highlights the potential of a gamified mobile health app designed to help people with Multiple Sclerosis manage fatigue, one of the most common and debilitating symptoms of the disease.
A novel sensor placed on a patient’s head registers nanometric expansions of the skull in each cardiac cycle in real time to measure intracranial pressure more accurately and non-invasively.
A new system that seamlessly integrates an implanted spinal cord neuroprosthesis with rehabilitation robotics delivers well-timed electrical pulses to enhance mobility and foster long-term recovery.
Machine learning models fail to detect key health deteriorations in the ICU: a new study reveals that 66% of critical injuries in hospitals would go unnoticed if the current AI models were put to use.
