Machine learning algorithms to speed up image biomarker analysis in heart MRI scans

According to research published in journal Circulation:Cardiaovascular imaging cardiac MRI analysis utilizing machine learning algorithms can be performed significantly faster and with similar precision compared to human experts. In the study, researchers trained a neural network to read the cardiac MRI scans. Utilizing artificial intelligence, a scan can be analyzed in approximately four seconds compared … Continue reading Machine learning algorithms to speed up image biomarker analysis in heart MRI scans

Early diagnosis of Alzheimer’s disease using artificial intelligence

According to a study published in the journal of radiology, research shows that artificial intelligence (AI) technology predict the development of Alzheimer's disease early.Early diagnosis of Alzheimer's is important as¬†treatments and interventions are more effective early in the course of the disease. However, early diagnosis has proven to be challenging. Research has linked the disease … Continue reading Early diagnosis of Alzheimer’s disease using artificial intelligence

Artificial intelligence algorithm to predict and prevent spread of infectious diseases

Team of researchers from USC Viterbi School of Engineering has created an algorithm that can help policymakers reduce the overall spread of disease. The algorithm is optimized to make the most of limited resources, such as advertising budgets, thus helping cash strapped public health agencies.To create the artificial intellegence algorithm, the researchers used behavioral, demographic … Continue reading Artificial intelligence algorithm to predict and prevent spread of infectious diseases

Artificial intelligence project to identify skin cancer based on machine learning algorithm works as good as a doctor

Universal access to health care was on the minds of computer scientists at Stanford when they set out to create an artificially intelligent diagnosis algorithm for skin cancer. They made a database of nearly 130,000 skin disease images and trained their algorithm to visually diagnose potential cancer. From the very first test, it performed with … Continue reading Artificial intelligence project to identify skin cancer based on machine learning algorithm works as good as a doctor

Collaboration between UCSF, Intel to develop deep learning analytics for healthcare

UC San Francisco's Center for Digital Health Innovation (CDHI) today announced a collaboration with Intel Corporation to deploy and validate a deep learning analytics platform designed to improve care by helping clinicians make better treatment decisions, predict patient outcomes, and respond more nimbly in acute situations.The collaboration brings together Intel's leading-edge computer science and deep … Continue reading Collaboration between UCSF, Intel to develop deep learning analytics for healthcare

Novel diagnostic test for malaria using holographic imaging and artificial intelligence using deep learning

Duke researchers have devised a computerized method to autonomously and quickly diagnose malaria with clinically relevant accuracy -- a crucial step to successfully treating the disease and halting its spread.In 2015 alone, malaria infected 214 million people worldwide, killing an estimated 438,000. While Western medicine can spot malaria with near-perfect accuracy, it can be difficult … Continue reading Novel diagnostic test for malaria using holographic imaging and artificial intelligence using deep learning