A feasibility study by Swiss researchers shows that AI systems are able to reliably predict therapeutic success in patients with borderline personality pathology by detecting emotions on their face.
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.
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.
True or false: Webcams have only recently been introduced in neonatology and are a patient-side component of the Digital Health Portfolio. False! Already in 1989, Professor Dr Roland Wauer at Charité Berlin built his DIY system to transmit images from the neonatology ward.
Stereotypical gender notions can affect how healthcare staff treat people in pain. This, in turn, may result in medically unjustified disparities in treatment of men and women, or “gender bias.”
Training robots with realistic pain expressions can reduce doctors' risk of causing pain during physical exams.
At Medica 2021, Elitac Wearables exhibited its latest innovations in wearables, which feature haptic feedback and integrated sensors. We spoke with Merijn Klarenbeek, the company’s CEO, about the medical applications of wearable electronics and sensors.
Parkinson’s disease (PD) usually causes facial abnormalities that affect a person’s self-esteem and relationships. However, these abnormalities are difficult to analyze quantitatively with current methods. To address this issue, scientists from Okayama University, Japan, explored whether commercial AI-based facial analysis software could be useful in this context. Their results show that…
Sending a “selfie” to the doctor could be a cheap and simple way of detecting heart disease, according to the authors of a new study. The study is the first to show that it’s possible to use a deep learning computer algorithm to detect coronary artery disease (CAD) by analysing four photographs of a person’s face. Although the algorithm needs to be developed further and tested in larger…
Scientists have identified mechanisms in the human brain that could help explain the phenomenon of the 'Uncanny Valley' - the unsettling feeling we get from robots and virtual agents that are too human-like. They have also shown that some people respond more adversely to human-like agents than others.
Using technology similar to the type that powers facial and speech recognition on a smartphone, researchers at the University of North Carolina Lineberger Comprehensive Cancer Center have trained a computer to analyze breast cancer images and then classify the tumors with high accuracy. In a study published in the journal NPJ Breast Cancer, researchers reported they used a form of artificial…
New research from the Westmead Institute for Medical Research and the University of Sydney has found that neurons deep inside the brain could hold the key to accurately diagnosing bipolar disorder and depression.
In some cases, the Lassa virus starts with a fever and general weakness, moving toward headache, muscle pain, possible facial swelling, deafness, and worse. About 15 percent of patients hospitalized with severe cases die. Lassa fever is contagious, endemic in West Africa, and Dr. Anthony van den Pol thinks he can use it to cure ovarian cancer.
The power of computing grows more pervasive as it is increasingly integrated into everyday items within our immediate environment, as in smart toothbrushes, for example, or a vortex whistle for managing chronic lung function via smartphones. This September, scientists, developers and designers from around the world met in Heidelberg, Germany, for two parallel events: ACM International Joint…
A new way of rapidly identifying bacteria, which requires a slight modification to a simple microscope, may change the way doctors approach treatment for patients who develop potentially deadly infections and may also help the food industry screen against contamination with harmful pathogens, according to researchers at the Korea Advanced Institute of Science and Technology (KAIST) in Daejeon,…
Ever mindful of those less fortunate, Mindray Medical International continues to support the children’s medical charity, Operation Smile. Each year Mindray sponsors the global organisation to be a part of Mindray’s exhibit at the American Society of Anaesthesiology (ASA) meeting.
By combining conventional medical imaging with some of the same 3-D modeling techniques used in Hollywood blockbusters, researchers are offering new hope to victims of serious facial injuries. Results of a new study on human face transplantation, led by Darren M. Smith, M.D., plastic surgery resident at the University of Pittsburgh Medical Center (UPMC), were presented today at the annual meeting…
It turns out to be difficult to find out exactly how much a child who cannot yet speak suffers after a surgical operation. Researchers at the University Hospital of La Paz, in Madrid, have validated the 'Llanto' scale, the first, and only, tool in Spanish which measures infant pain rapidly and simply.
USA - Using positron emission tomography (PET) scanning rather than other types of imaging as the first tool to diagnose heart-vessel blockages is more accurate, less invasive and saves money, according to researchers reporting at the American College of Cardiology's Annual Scientific Session in March.