Browsing Category: Machine Learning

Machine learning for early Alzheimer’s diagnosis

Anant Madabhushi and Case Western colleagues have used machine learning to diagnose Alzheimer’s disease via imaging data in a small study.  The goal is early intervention, which could potentially extend independence. 149 patients were analyzed using a Cascaded Multi-view Canonical Correlation (CaMCCo) algorithm, which integrates MRI scans, features of the hippocampus, glucose metabolism rates in the […]

Machine learning tools predict heart failure

Declan O’Regan and MRC London Institute of Medical Sciences colleagues believe that AI can predict when pulmonary hypertension patients require more aggressive treatment to prevent death. In a recent study,  machine learning software automatically analyzed moving images of a patient’s heart, captured during an MRI. It then used  image processing to build a “virtual 3D heart”, […]

Wearable + cloud analysis track Huntington’s disease progression

In the latest pharma/tech partnership, Teva and Intel are developing a wearable platform to track the progression of Huntington’s disease.  There is no cure for the disease, which causes a breakdown of nerve cells in the brain, resulting in a  decline in motor control, cognition and mental stability. The technology can be used to assess the effectiveness […]

Algorithm detects depression in speech

USC researchers are using machine learning to diagnose depression, based on speech patterns. During interviews, SimSensei detected reductions in vowel expression that might be missed by human interviewers. The depression-associated speech variations have been documented in past studies.  Depressed patient speech can be flat, with reduced variability, and monotonicity. Reduced speech, reduced articulation rate, increased pause duration, […]

Machine learning model enables robotic hand to learn autonomously

Vikash Kumar and University of Washington colleagues have developed a simulation model that allows robotic hands to learn from their own experiences, while performing dexterous manipulation.  Human direction is not required. A recent study incorporated the model while a robotic hand attempted several tasks, including  rotating an elongated object. With each try, the hand became […]

Machine learning for faster stroke diagnosis

MedyMatch uses big data and artificial intelligence to improve stroke diagnosis, with the goal of faster treatment. Patient CT photos are scanned  and immediately compared with hundreds of thousands of other patient results.  Almost any deviation from a normal CT is quickly detected. With current methods, medical imaging errors can occur when emergency room radiologists […]

Machine learning analysis of doctor notes predicts cancer progression

Gunnar Rätsch and Memorial Sloan Kettering colleagues are using AI to find similarities between cancer cases.  Ratsch’s algorithm has analyzed 100 million sentences taken from clinical notes of about 200,000 cancer patients to predict disease progression. In a recent study, machine learning was used to classify  patient symptoms, medical histories and doctors’ observations into 10,000 clusters. Each […]