From AI-based image analysis to virtual therapies: Find out how digitalisation and cutting-edge IT solutions advance the medical landscape.
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.
To suppress tremors, such as those from Parkinson's disease, scientists equipped a biorobotic arm with artificial muscles, which compensate for the back-and-forth movement of the tremor.
The work of a nurse is becoming increasingly digital. A new study shows that nurses need to expand their professional competencies beyond their traditional skills to adapt to these changes.
Generative AI can detect and quantify cognitive biases of human caregivers during medical emergency situations. This way, LLMs could help reduce the impact of bias based on gender, age, or ethnicity.
A pacemaker designed for babies could fill an unmet need for newborns with congenital heart defects and other heart conditions, finds a new study.
Playing video games to recover hand and wrist mobility? A new system of exergames demonstrates the potential for rehabilitation while providing therapists with data to analyse patients’ progress.
A newly-developed robot can detect medication side-effects in patients after heart arrhythmia treatment faster than a human doctor, while reducing the number of follow-up tests.
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.
Researchers developed a smart patch capable of real-time biometric signal monitoring and drug delivery. Potential applications include glucose management, pain relief, and chronic disease treatment.
A sensor, similar to glucose monitoring devices, detects lung cancer biomarkers from a blood sample in just 40 minutes. The technology has potential to identify at-risk patients and tailor treatments.
“A turning point in neuroscience,” say developers about a holographic endoscope that peers deep into the brain through an optical fiber – minimally invasive and with subcellular resolution.
Patient-specific 3D printed surgical guides could provide a clear visual aid that helps cardiac surgeons locate key treatment areas on the heart, such as the optimal location to build the bypass vein.
Less than a millimetre: the world's smallest biomedical robot is designed for imaging, sampling, drug delivery, and laser ablation. The developers highlight potential new clinical applications.
