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…
Professor Regina Beets-Tan, President of the European Society of Radiology (ESR), looks on possible future developments in cancer imaging. AI is very promising in this regard, 'However, it has proven to be a problem that the data with which the artificial intelligence is fed must be very homogeneous,' the expert observes.
Artificial intelligence-based technique reveals previously unknown cell components that may provide new clues to human development and disease.
Researchers at the McKelvey School of Engineering at Washington University in St. Louis found a way to significantly reduce the noise and maintain image quality while reducing the laser energy needed to generate images by 80%.
Digital technology solutions create new opportunities in diagnosis and assessment of renal conditions. With whole slide imaging (WSI), improved workflow and better visualization, such technology already yields a ROI for hospitals and laboratories.
How will digital technology impact healthcare in 2030? If challenges to acceptance and utilisation can be overcome, healthcare providers and patients will benefit significantly, according to physicians participating in a recent online seminar on this topic.
"Virtual Care & Digital Therapeutics", "Medical Artificial Intelligence & Robotics", "Fields of Innovation" and "Societal aspects of digitized healthcare" are the topics of this year's Health IT Forum at Medica. New this year: In line with the hybrid event concept of the trade fair, the Expert Panels, Tech Talks and Deep Dive Sessions can be…
Researchers have leveraged the power of digital pathology and computational modeling to detect and quantify podocytes, a specialized type of cell in the kidney that undergoes damaging changes during early-stage kidney disease.
French researchers have found that addressing concerns related to the Covid-19 vaccination via a chatbot interface might be capable of swaying the vaccine-hesitant. Vaccine hesitancy is one of the major challenges in containing the Covid-19 pandemic. Previous studies have revealed that mass communication—through short messages relayed by television or radio—is not a very effective means of…
Robotics4EU is the European Commission’s answer to the unprecedented importance of robotics in modern economy. Launched officially in January 2021 under the Horizon 2020 Research and Innovation programme, Robotics4EU aims to take concrete steps to ensure a more widespread adoption of (AI-based) robots in the EU, particularly in the areas of Healthcare, Inspection and Maintenance of…
Researchers at the national research institute for mathematics and computer science in the Netherlands (CWI), together with a colleague from Stichting Interuniversitair Micro-Elektronica Centrum (IMEC) in Eindhoven, have achieved a mathematical breakthrough in the computation of so-called spiking neural networks. Thanks to this breakthrough, special chips that are suitable for this artificial…
Roche announced that it has entered an agreement with PathAI, a global leader in artificial intelligence (AI)-powered technology for pathology. Under the development and distribution agreement, the companies will jointly develop an embedded image analysis workflow for pathologists. This workflow will allow PathAI image analysis algorithms to be accessed within Navify Digital Pathology, the cloud…
Researchers at King's College Hospital and Queen Mary University of London have shown that a new computer-based algorithm can rank drugs used to treat primary liver cancer, based on their efficacy in reducing cancer cell growth.
Researchers at Karolinska Institutet have developed an AI-based tool that improves the diagnosis of breast cancer tumours and the ability to predict the risk of recurrence. The greater diagnostic precision can lead to more personalised treatment for the large group of breast cancer patients with intermediate risk tumours. The results are published in the scientific journal Annals of Oncology.
Machine learning methods are being used to predict the health of the placenta from a 30-second MRI scan. Researchers hope the approach will offer an insight into the health of expectant mothers and unborn babies by detecting the early signs of dangerous conditions such as pre-eclampsia. Researchers from the School of Biomedical Engineering & Imaging Sciences at King’s College London (KCL)…
A computer program trained to see patterns among thousands of breast ultrasound images can aid physicians in accurately diagnosing breast cancer, a new study shows. When tested separately on 44,755 already completed ultrasound exams, the artificial intelligence (AI) tool improved radiologists’ ability to correctly identify the disease by 37 percent and reduced the number of tissue samples, or…
The FDA authorized marketing of software to assist medical professionals who examine body tissues in the detection of areas that are suspicious for cancer as an adjunct to the review of digitally-scanned slide images from prostate biopsies.
Decreasing the rate of missed lesions could translate into fewer cases of colon cancer.
A team of researchers are developing the use of an artificial intelligence (AI) algorithm with the aim of diagnosing deep vein thrombosis (DVT) more quickly and as effectively as traditional radiologist-interpreted diagnostic scans, potentially cutting down long patient waiting lists and avoiding patients unnecessarily receiving drugs to treat DVT when they don’t have it.