Researchers from the University of Birmingham have designed and developed a novel diagnostic device to detect traumatic brain injury (TBI) by shining a safe laser into the eye.
An electronic glove that enables movement in the paralysed hand of stroke survivors – supporting their rehabilitation – has been invented by a team from the University of Southampton.
When a person has a cardiac arrest, using an automated external defibrillators (AED) can be life-saving. New research shows that AED delivery via drone is often quicker than an ambulance.
AI features for automation, integrated systems and more: the role of medical technology has never been as vital as today, and MedTech companies from Taiwan are putting their best foot forward to contribute. At the 2023 Medica trade fair, visitors of the Taiwanese pavilion not only had the opportunity to see the latest medical products on display, but also get acquainted with Taiwanese culture in…
Scientists have developed an ingestible device that can safely monitor vital signs like breathing and heart rate from inside humans, providing accessible and convenient care for people at risk of opioid overdose.
Smart catheters, smart diapers or wound dressings: a new approach to wireless biosensors from Malmö University opens up options for more patient-controlled ways of infection detection.
In the last few years, virtual reality has become a very significant tool in therapeutic applications, for example, to overcome deep-seated fears or the lack of empathy in abusers.
Sure, AI still has a long way go. But maybe one day in the not-so-distant future, AI will provide us with information about our current state of health, such as the number of red blood cells, cholesterol levels, fat percentage, and how many seconds last night's beer will shorten our life expectancy.
Bioethics researchers call on medical societies, government leaders, clinicians, and researchers to work together to ensure AI-driven healthcare preserves patient autonomy and respects human dignity.
Machine learning and AI are playing an increasingly important role in medicine and healthcare, and not just since ChatGPT. This is especially true in data-intensive specialties such as radiology, pathology or intensive care. The quality of diagnostics and decision-making via AI, however, does not only depend on a sophisticated algorithm but – crucially – on the quality of the training data.
Scalpels with built-in sensors could streamline training for surgeons and pave the way for procedures performed by robotic devices, a study suggests.
A new research collaboration aims to develop a forward-looking AI application to detect gender-specific symptoms earlier and further reduce mortality from heart disease, especially among women.
Voice pathology detection (VPD) can detect abnormal vibrations in the vocal cords caused by conditions like cancer and cysts. Now, researchers have found a way to make the method more reliable.
Hardly a day passes without new headlines about ChatGPT, the AI-powered large language model, and its potential applications in healthcare. First results have been somewhat sobering after the initial hype, with the AI’s “hallucinations” often replacing scientific truth. Still, Professor Philip Moons is convinced that the chatbot might bring actual benefits to nursing and health science…
An automated pain recognition system using artificial intelligence (AI) holds promise as an unbiased method to detect pain in patients before, during and after surgery.
Neurologists at Amsterdam UMC have developed a special sensor cap that interprets EEG brain waves to early detect signs of an ischemic stroke while the patient is in the ambulance.
A team at the University of Bristol has developed a robot manipulator that could carry out clinical breast examinations. The developers hope the device will revolutionise breast health monitoring.
New research from Deusto University in Bilbao, Spain, provides evidence that people can inherit artificial intelligence biases (systematic errors in AI outputs) in their decisions.
Researchers from Rutgers University developed a way to help hospitals identify life-threatening Covid-19 cases using machine-learning software. The algorithm identified six crucial parameters.
A team from UNC has developed a steerable lung robot that can autonomously maneuver the intricacies of the lung, while avoiding important lung structures.
A research team led by the Institute for Bioengineering of Catalonia (IBEC) and Hospital del Mar has conducted a study to analyze cough sounds recorded by smartphones in patients with Covid-19.
Basque researchers propose a bioelectronic device consisting of gold electrodes coated with a smart polymer capable of capturing and releasing cells in a non-invasive, controllable way.
A new type of microdevice could offer new ways to treat brain cancer. The shape and size of a grain of rice, it is implanted into a tumor to study the effects of ongoing therapies.
Experts from Brigham and Women’s Hospital have tasked ChatGPT to generate recommendations for cancer treatment – with some promise, but ultimately inadequate results.
When faced with an umfamiliar task, many people rely on the voice assistants in their smartphone to help them out. However, when it comes to CPR, these AI companions cannot always be counted on.