AI and probabilistic modelling applied to oncology
Improving the prediction of survival indicators in patients with breast cancer using tools from artificial intelligence and probabilistic modelling is the aim of ModGraProDep.
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.
Machine learning improves breast cancer research
Researchers have developed a new, faster method to identify cancer stem-like cells (CSCs), which could help improve the effectiveness of cancer treatments.
Neural networks: artificial brains need sleep too
States that resemble sleep-like cycles in simulated neural networks quell the instability that comes with uninterrupted self-learning in artificial analogs of brains.
Machine learning enhances brain tumour diagnosis
A new AI approach classifies a common type of brain tumour into low or high grades with almost 98% accuracy, researchers report.
Lung cancer: AI could predict risk of recurrence
Computer scientists working with pathologists have trained an AI tool to determine which patients with lung cancer have a higher risk of their disease coming back after treatment.
Using machine learning to detect COVID-19 in X-rays
Students at Cranfield University have designed computer models that can identify COVID-19 in X-rays.
Deep learning accurately stains digital biopsy slides
Pathologists who examined the computationally stained images could not tell them apart from traditionally stained slides.
Using machine learning to estimate COVID-19’s seasonal cycle
Scientists are launching a project to apply machine learning methods to assess the role of climate variables in disease transmission
AI used to identify different types of brain injuries
Researchers have developed an AI algorithm that can detect and identify different types of brain injuries.
AI enables rapid ultrasound COVID-19 testing
Establishing whether a patient is suffering from COVID-19 within a few minutes is possible using ultrasound machines that are enhanced with artificial intelligence.
AI diagnostic can predict COVID-19 without testing
Researchers at King’s College London, Massachusetts General Hospital and health science company ZOE have developed an AI diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms.
AI distinguishes pneumonia from COVID-19
Researchers have developed a predictive artificial intelligence model that can tell the difference between healthy patients, those who are ill with pneumonia and those who have COVID-19, from chest X-rays.
Neural networks help cardiac diagnostics
Artificial intelligence may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart.
Machine learning system crack COVID-19 genome signature
Using machine learning, a team of Western computer scientists and biologists have identified an underlying genomic signature for 29 different COVID-19 DNA sequences.
AI could help stem tide of school violence
Researchers developed an AI system that analyzes linguistic patterns to predict a youth’s risk for committing acts of school violence.
Fighting infectious diseases using AI
Researchers have harnessed the power of artificial intelligence to dramatically accelerate the discovery of drug combination therapies.
AI model accurately classifies colorectal polyps
An AI model for automated classification of colorectal polyps could benefit cancer screening programs by improving efficiency, reproducibility, and accuracy.
Digital twin enables protective ventilation
A computational lung model can be used to reduce damage caused by mechanical ventilation – and could increase survival rates for patients significantly.
AI could serve as backup to radiologists' eyes
A study showed that an AI algorithm provides results comparable with lung function tests, which measure how forcefully a person can exhale.
Dentistry: AI helps localize the mandibular canals
Researchers have developed a new model that accurately and automatically shows the exact location of mandibular canals.
AI may help brain cancer patients avoid biopsy
Brain cancer patients in the coming years may not need to go under the knife to help doctors determine the best treatment for their tumors.
Brain-computer interfaces: AI reduces need for recalibration
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
AI accelerates blood flow MRI
Researchers have presented a method that could greatly accelerate dynamic magnetic resonance imaging of blood flow.
AI enables fast-track review of COVID-19 research proposals
An AI tool to help funders identify specialists to peer-review proposals for emergency COVID-19 research has been developed.
A high-precision radiology system for the coronavirus
Researchers are developing a new high-precision radiology system for coronavirus pulmonary involvement.
AI-based chest X-ray diagnosis tech approved
behold.ai has been issued with a CE Mark Class lla certification in the UK and EU for its AI-based technology that can diagnose chest X-rays as ‘normal’.
COVID 19: AI to predict patients' risk of needing ventilators
Experts have begun using artificial intelligence to create computer models that calculate the risk of a corona patient’s needing intensive care or a ventilator.
NVIDIA Healthcare 2.0 – Developing and deploying AI in healthcare
“AI is the biggest technological breakthrough of our lifetime. It will boost the entire healthcare ecosystem and will eventually re-invent the way we deliver medicine entirely.”
Deep learning system used for diagnosing skin diseases
An AI algorithm is capable of diagnosing 134 skin disorders and supporting specialists by augmenting the accuracy of diagnoses and predicting treatment options.