A computer reads and predicts thoughts
Researchers at the University of Helsinki have developed a technique in which a computer models visual perception by monitoring human brain signals.
Artificial intelligence
Artificial intelligence has unimaginable potential to revolutionize medicine. We cover the latest technology breakthroughs of machine learning and deep learning algorithms that process mindboggling amounts of data, spot even the smallest detail in medical images and help medical professionals in designing treatment plans.
AI detects osteoarthritis years before it develops
Researchers have created a machine learning algorithm that can detect subtle signs of osteoarthritis on an MRI scan taken years before symptoms even begin.
Memory abilities to make neural networks less 'forgetful'
AI experts report that they have successfully addressed a major obstacle to increasing AI capabilities.
AI tool can detect COVID-19 outbreaks
A new machine learning–based online tool allows for early detection of COVID-19 outbreaks in different U.S. counties.
Assessing mental illnesses through digital phenotyping
Digital phenotyping and machine learning have emerged as promising tools for monitoring patients with psychosis spectrum illnesses.
Machine learning could enhance scientific peer review
Researchers make the case that Artificial Intelligence tools have the potential to help researchers separate the wheat from the chaff.
AI signals a possible disease resurgence
Scientists have used machine learning to predict the reemergence of existing infectious diseases.
Smart surgery - from technical fascination to clinical reality
Artificial intelligence is developing at an enormous speed and intelligent instruments will profoundly change surgery and medical interventions.
Machine learning system sorts out materials' databases
Scientists have used machin -learning to organize the chemical diversity found in the ever-growing databases for the popular metal-organic framework materials.
Patients set to benefit from AI guidelines
Patients could benefit from faster and more effective introduction of AI innovations to diagnose and treat disease—thanks to the first international standards for reporting of clinical trials for AI.
'Biases’: AI’s limitations in coronavirus response
AI is playing a key role in the Covid-19 response, but it could also be exacerbating inequalities within our health systems – a critical concern that is dragging the technology’s limitations back into the spotlight.
'Plug and play' brain prosthesis demoed in paralyzed person
Researchers have shown that machine learning techniques helped an individual with paralysis learn to control a computer cursor using their brain activity.
The embedded ethics approach in AI development
Alena Buyx, Professor of Ethics in Medicine and Health Technologies at TUM, explains the embedded ethics approach.
Surgical data science: data-driven assistance in the OR
In the next-generation operating room interconnected sensors will collect data, analyse it in real-time and make it available to digital assistance functions.
AI system to prevent imaging cyberthreats
Researchers have developed an AI technique that will protect medical devices from malicious operating instructions in a cyberattack.
AI offers clues to a 500-year old mystery
Researchers used AI and genetic analyses to examine the structure of the inner surface of the heart using 25 000 MRI scans.
AI system for recognition of hand gestures
Scientists have developed an AI system that recognises hand gestures by combining skin-like electronics with computer vision.
COVID-19: Deep learning-based cough recognition
Researchers announced that their coughing detection camera recognizes where coughing happens, visualizing the locations.
AI with 'imagination' could help doctors with diagnosis
This is the first known time that AI has used causation instead of correlations to support doctors with diagnosis in simulated cases.
Machine learning tool predicts intestinal disease in premature infants
Researchers develop new machine learning approach that shows promise in predicting Necrotizing enterocolitis; could lead to improved medical decision-making in neonatal ICUs.
Neural network helps doctors explain relapses of heart failure
Researchers have developed an algorithm that not only predicts hospital readmissions of heart failure patients, but also tells you why these occur.
Network medicine makes drug repurposing effective
Artificial intelligence can increase the effectiveness of drug repositioning or repurposing research.
AI may be able to ID drug-resistant superbugs
Scientists have shown that different strains of the same bacterial pathogen can be distinguished by a machine learning analysis of their growth dynamics alone.
Federated learning allows hospitals to share data privately
Researchers have shown that federated learning is successful in the context of brain imaging, by being able to analyze MRI scans of brain tumor patients and distinguish healthy brain tissue from cancerous regions.
AI finds patterns of mutations in tumour images
Researchers have developed an AI algorithm that uses computer vision to analyze tissue samples from cancer patients.
Optimizing neural networks on a brain-inspired computer
Research shows how so-called “critical states” can be used to optimize artificial neural networks running on brain-inspired neuromorphic hardware.
AI finds COVID-19 needles in a coronavirus haystack
Scientists have assembled a combination of data mining, machine-learning algorithms and compression-based analytics to bring the most useful data to the fore on an office computer.
Janggu makes deep learning a breeze
Researchers have developed a new tool that makes it easier to maximize the power of deep learning for studying genomics.
AI predicts breast cancer risk factors
Researchers report innovative use of machine learning to help understand the interplay of genetic and other breast cancer risk factors.
