News • Healtchare devices
Hearing aids could read lips through masks
A new system capable of reading lips with remarkable accuracy even when speakers are wearing face masks could help create a new generation of hearing aids.
Machine learning
Article • Interpreter of maladies
Will AI help realize the promise of precision medicine?
Machine learning and artificial intelligence (AI) have the potential to transform cancer treatment management worldwide. Their ability to rapidly analyse and integrate routinely acquired diverse data will improve the accuracy and effectiveness of precision medical treatments.
News • For the first time
Similarity between schizophrenia and dementia dicovered
Researchers for the first time compared schizophrenia and frontotemporal dementia, disorders that are both located in the frontal and temporal lobe regions of the brain.
News • Machine learning analysis of idiopathic pulmonary fibrosis
IDF diagnosis: AI on par with medical specialists
Researchers developed an AI that accurately and quickly diagnoses idiopathic pulmonary fibrosis, based only on information from lung images and medical information collected during daily medical care.
News • Risk factor identification
AI to speed up sepsis detection
Patients are 20% less likely to die of sepsis because a new AI system developed at Johns Hopkins University catches symptoms hours earlier than traditional methods, an extensive hospital study shows.
News • Form-fitting fabric
Smart textiles recognizes its wearer’s activities
MIT researchers produced textiles that sense the wearer’s posture and motions. Their “smart” shoes and mats could be used in applications ranging from health care to prosthetics.
News • Radiophysiomics
Diagnosing brain tumors using machine learning
The classification of brain tumors—and thus the choice of optimal treatment options—can become more accurate and precise through the use of artificial intelligence in combination with physiological imaging.
Article • Multimodal analysis approach
Novel AI model predicts thyroid cancer from routine ultrasound images
An artificial intelligence (AI) model combining four methods of machine learning (ML) to accurately detect thyroid cancer from routine ultrasound image data has been developed by US researchers.
Article • Clinical computational tools
Managing cancer more effectively
Computational approaches are being applied on enormous amounts of data from sequencing technologies to develop tools to help clinicians manage cancer more effectively.
News • Machine learning vs. NSCLC
AI to improve post-treatment surveillance of lung cancer patients
Artificial intelligence (AI) could help guide the post-treatment surveillance of non-small cell lung cancer (NSCLC) patients and improve outcomes as a result, according to a new study.
News • Gait analysis
Precise motion capture system to aid in physiotherapy
The motion capture technology called Precise Marker-less could aid doctors and physiotherapists in their consultations and diagnoses for patients in need of rehabilitation.
News • Machine learning
AI-enabled exoskeleton aids users with mobility impairments
Scientists have utilized the integration of lightweight material engineering and artificial intelligence to create an exoskeleton robot that can aid those with mobility impairments.
News • Machine learning
Using Raman spectroscopy and AI for SARS-CoV-2 detection
Researchers have developed a noninvasive and reagent-free technique for the efficient detection of COVID-19.
News • Underrepresentation of women
Machine learning fixes gender bias in clinical trials
Researchers from Israel have developed a technology that rectifies the effects of underrepresentation of women in clinical trials using machine learning models.
News • Cutting risk of death
Machine learning rapidly detects sepsis
Researchers used artificial intelligence to identify sets of genes that predict whether a patient will acquire severe sepsis.
News • Blood clot screening
AI could help detect pulmonary embolisms with ECG data
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.
News • Machine learning
Covid-19 diagnosis with improved accuracy, preserved privacy
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.
News • Cardiology
Coronary artery disease: Machine learning predicts risk of death
A novel artificial intelligence score provides a more accurate forecast of the likelihood of patients with suspected or known coronary artery disease dying within 10 years than established scores used by health professionals worldwide. The research was presented at EuroEcho 2021, a scientific congress of the European Society of Cardiology (ESC).
News • Better quality
Machine learning improves photoacoustic microscopy images
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%.
News • The 'PodoSighter'
AI identifies key indicator of early kidney disease
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.
News • DRUML
New AI offers hope for deadly liver cancer patients
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.
Article • Pregnancy imaging
Machine learning predicts placenta health from MRI scans
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)…
News • Blood clots in the legs
Machine learning algorithm to diagnose deep vein thrombosis
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.
News • Biological image analysis
Machine learning accelerates super-resolution microscopy
Scientists use super-resolution microscopy to study previously undiscovered cellular worlds, revealing nanometer-scale details inside cells. This method revolutionized light microscopy and earned its inventors the 2014 Nobel Prize in Chemistry. In an international collaboration, AI researchers from Tübingen have now developed an algorithm that significantly accelerates this technology.
Article • Diagnosis, prognosis, prediction
AI offers advances in cardiovascular imaging
Artificial Intelligence (AI) is providing numerous opportunities across clinical care in the field of cardiovascular imaging. While challenges remain, AI is being applied in terms of diagnosis and prognosis, defining cardiovascular imaging pathways, and image acquisition and analysis. It can also help cardiologists predict which patients may do well, or which treatments are best applied to those…
