AI in healthcare – hype, hope and reality
Currently, we are too focused on the topic of AI. In order, however, to leverage AI technology several challenges have to be mastered and a proper framework has to be established.
machine learning
Portable AI device predicts outbreaks based on coughing
A portable surveillance device powered by machine learning can detect coughing and crowd size in real time, then analyze the data to directly monitor flu-like illnesses trends.
AI predicts circulatory failure in ICU
Researchers have developed a method for predicting circulatory failure in patients in intensive care units – enabling clinicians to intervene at an early stage.
Fighting hand tremors with AI and robots
Researchers have tapped AI techniques to build an algorithmic model that will make the robots more accurate, faster, and safer when battling hand tremors.
AI challenge aims to improve mammography accuracy
AI techniques, used in combination with the evaluation of expert radiologists, improve the accuracy in detecting cancer using mammograms.
An ultra-precise mind-controlled prosthetic
Researchers have tapped faint, latent signals from arm nerves and amplified them to enable real-time, intuitive, finger-level control of a robotic hand.
Deep learning yields new antibiotic
An AI model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.
How many gender subtypes exist in the brain?
New machine learning study suggest the presence of at least nine gender “expressions”.
AI finds disease-related genes
An artificial neural network can reveal patterns in huge amounts of gene expression data, and discover groups of disease-related genes.
Hybrid microscope could bring digital biopsy to the clinic
By adding infrared capability to the ubiquitous, standard optical microscope, researchers hope to bring cancer diagnosis into the digital era.
AI may alter how doctors treat depression
Artificial intelligence may soon play a critical role in choosing which depression therapy is best for patients.
AI & MRI look into the genome of brain tumors
Researcher have developed a computer method that uses MRI and machine learning to rapidly forecast genetic mutations in glioma tumors,
AI and laser-based imaging system identify brain tumors
A novel method of combining advanced optical imaging with an artificial intelligence algorithm produces accurate, real-time intraoperative diagnosis of brain tumors.
Neural network for elderly care could save millions
A deep neural network model helps predict healthcare visits by elderly people, with the potential to save millions.
Deep learning identifies molecular patterns of cancer
An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.
Rapid test to diagnose asthma
Researchers use machine learning to developing a rapid test that requires only a drop of blood to diagnose asthma.
Using AI to reveal how memories are coded in the brain
Researchers have discovered that a population of neurons in the brain’s frontal lobe contain stable short-term memory information within dynamically-changing neural activity.
Smart microscope adapts to diagnose infectious diseases
Using machine learning, a prototype microscope teaches itself the best illumination settings for diagnosing malaria.
AI predicts effectiveness of immunotherapy
Scientists can determine which lung-cancer patients will benefit from expensive immunotherapy.
Ensembling improves machine learning model performance
Ensembles created using models submitted to the RSNA Pediatric Bone Age Machine Learning Challenge convincingly outperformed single-model prediction of bone age.
mhealth: an app to screen for early signs of dementia
Dementia screening could be as easy as using a smartphone app that listens to elderly people speak.
Video game to treat children with ADHD
Researchers have developed advanced brain-computer interface technology that harnesses machine learning to personalise brain-training for children with ADHD.
AI system tracks tremors in Parkinson’s patients
Researchers have developed machine learning algorithms that, combined with wearable sensors, can continuously track tremor severity in Parkinson's patients.
AI system predicts which cancer patients benefit from immunotherapy
Using machine learning, researchers have built a tool that detects genetic mutations that trigger the immune system, helping identify which cancer patients are likely to benefit from immunotherapy.
Using AI to predict risk of thyroid cancer on ultrasound
Researchers from Thomas Jefferson University use machine learning on ultrasound images of thyroid nodules to predict risk of malignancy.
Combination of AI and radiologists accurately identified breast cancer
An AI tool identified breast cancer with approximately 90 percent accuracy when combined with analysis by radiologists.
Mental health game changer
Using a simple computer game and AI techniques, researchers were able to identify behavioural patterns in subjects with depression and bipolar disorder.
AI improves biomedical imaging
Researchers use artificial intelligence to improve quality of images recorded by a relatively new biomedical imaging method.
Advanced AI boosts clinical analysis of eye images
Based on a convolutional neural network the tool is able to provide results within seconds, thus supporting the doctor with comprehensive image analysis.