Using AI to detect and grade prostate cancer
Researchers have developed a method based on artificial intelligence for histopathological diagnosis and grading of prostate cancer.
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 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.
Smart algorithm finds possible future treatment for childhood cancer
Using a computer algorithm, scientists at Uppsala University have identified a promising new treatment for neuroblastoma.
Google-powered AI spots breast cancer
A computer algorithm has been shown to be as effective as human radiologists in spotting breast cancer from x-ray images.
AI tracks down acute myeloid leukemia
Artificial intelligence can detect one of the most common forms of blood cancer—acute myeloid leukemia (AML)—with high reliability.
AI identifies features associated with cancer recurrence
An AI has successfully found features in pathology images from human cancer patients, without annotation, that could be understood by human doctors.
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 boosts MRI detection of ADHD
Deep learning can boost the power of MRI in predicting attention deficit hyperactivity disorder (ADHD).
AI detects even the smallest metastases
Researchers have developed a new algorithm that enables automated detection of metastases at the level of single disseminated cancer cells in whole mice.
ConvPath software uses AI to identify cancer cells
A software tool uses artificial intelligence to recognize cancer cells from digital pathology images — giving clinicians a powerful way of predicting patient outcomes.
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.
AI predicts success of digital health interventions
A new statistical technique from the field of machine learning is now making it possible to predict the success of smartphone-based interventions more accurately.
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.
AI for intensive care of traumatic brain injury
AI-based algorithm may be utilized in the intensive care unit for treating patients with severe traumatic brain injury.
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.
Deep learning assists in detecting malignant lung cancers
Radiologists assisted by deep learning based software were better able to detect malignant lung cancers on chest X-rays.
AI-driven blood cell classification supports leukemia diagnosis
Researchers show that deep learning algorithms perform similar to human experts when classifying blood samples from patients suffering from acute myeloid leukemia.
Microscopy: AI converts 2D images into 3D
Researchers have devised a technique that extends the capabilities of fluorescence microscopy, which allows scientists to precisely label parts of living cells and tissue with dyes that glow under special lighting.
AI can detect language problems tied to liver failure
Researchers have shown that AI can evaluate written messages by patients with severely diseased livers to detect language abnormalities associated with liver disease.
Neural networks support endovascular stroke therapy
Researchers have been investigating whether artificial intelligence might be used to steer a catheter automatically and reliably to a blocked blood vessel.
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.
AI rivals radiologists at detecting brain hemorrhages
An algorithm did better than experts radiologists at finding tiny brain hemorrhages in head scans — an advance that one day may help doctors treat patients with strokes.
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.