Scientists have utilized the integration of lightweight material engineering and artificial intelligence to create an exoskeleton robot that can aid those with mobility impairments.
The AI-Guided Ultrasound Intervention Device is a lifesaving technology that helps a range of users deliver complex medical interventions at the point of injury.
A software based on deep learning with convolutional neural networks can accurately and consistently classify breast density on mammograms according to BI-RADS criteria.
A new type of AI companion is being designed to aid memory recollection, boost confidence and combat depression in people living with Alzheimer’s disease and other types of dementia.
Chromatograms from mass spectrometry feature characteristic peaks to signify the response of a target molecule. Artificial intelligence can help in the challenging task of identifying these peaks.
By employing artificial intelligence (AI) and robotics to formulate therapeutic proteins, researchers promoted tissue regeneration.
Combining questions about a person's health with data from smartwatch sensors, a new app can predict within minutes whether someone is infected with COVID-19.
Groundbreaking technologies have improved our ability to accurately diagnose breast cancer and reduce callbacks, focusing on compassionate care for patients as they move along their breast health journey.
The future of pathology is digital – for many departments, transformation requires major modifications but promises significant advantages. Professor Catarina Eloy outlines the vital elements.
Close liaison between pathologists and data scientists is pivotal in the successful introduction of digital pathology and artificial intelligence (AI) into clinical workflows, according to one of France’s leading pioneers in the field.
GenesisCare announced the establishment of the Accuray CyberKnife S7 robotic accelerator that delivers radiosurgery treatment guided by AI and synchronized with real-time imaging.
Researchers have identified a previously unrecognized key player in cancer evolution: clusters of mutations occurring at certain regions of the genome.
Despite a five-year transition period for In-vitro Diagnostic Medical Device Regulation (IVDR), experts fear many actors in the field are still not prepared for the regulations coming into force.
A mobile application assists in recording skin lesions and sends them to dermatology departments in hospitals, speeding up diagnosis of skin cancer.
Researchers used artificial intelligence to identify sets of genes that predict whether a patient will acquire severe sepsis.
Does artificial intelligence (AI) need more diversity? This aspect is brought up by experts in the context of AI systems to diagnose skin cancer. Their concern: images used to train such programs do not include data on a wide range of skin colours, leading to inferior results when diagnosing non-white patients.
Every day, elderly people fall – be it at home or in care facilities. Med-tech start-up Lindera developed an app that allows motion analysis via a smartphone camera to minimize the risk of falling.
A new study has found that AI can help physicians in interpreting x-rays after an injury and suspected fracture. This has the potential to improve diagnostic performance and efficiency.
A new pilot study suggests that machine learning algorithms which fuse electrocardiogram (ECG) and electronic health record data may help doctors screen for dangerous, lung-clogging blot clots.
Researchers in the UK and China have developed an AI model that can diagnose Covid-19 as well as a panel of professional radiologists, while preserving the privacy of patient data.
Artificial intelligence (AI) models that evaluate medical images have potential to speed up and improve accuracy of cancer diagnoses, but they may also be vulnerable to cyberattacks.
A team led by the University of Washington has developed a new, non-destructive method that images entire 3D biopsies instead of a slice. The 3D images provided more information than a 2D image — specifically, details about the tree-like structure of the glands throughout the tissue.
Artificial intelligence (AI) is changing our healthcare systems. It can help us detect diseases earlier, improve patient care and reduce healthcare costs. However, there is still a lack of trust, of rules and safety regulations and of broad data pools. How can we use AI successfully in healthcare systems and what role will it play in the future?
AI-designed Xenobots reveal an entirely new form of biological self-replication—promising for regenerative medicine.
A stethoscope is one of a doctor's most important instruments, but there haven't been any fundamental improvements in the device itself since the 1960s. Now, researchers at Aalto University have developed a device that analyses a broad range of bodily functions and offers the doctor a probable diagnosis, as well as suggestions for appropriate further examinations. The researchers believe that the…
