Deep Learning Can Identify Newborns at High Risk of Eye Disease
A deep learning device could help identify newborns at risk for aggressive posterior retinopathy of prematurity (AP-ROP), a condition that is difficult to diagnose and can lead to vision loss if left...Robot Uses Deep Learning, Ultrasound Imaging to Draw Blood
An autonomous, robotic tool used deep learning and ultrasound imaging to draw blood or insert catheters on par with or better than human providers, according to a study published in Nature Machine...Radiologist, Machine Learning Combo Enhances Breast Cancer Screening
Machine learning tools could help enhance the accuracy of breast cancer screenings when combined with assessments from human radiologists, a study published in JAMA Network Open revealed. Mammography...Machine Learning May Support Personalized Mental Health Therapies
Researchers from Penn Medicine leveraged machine learning techniques to identify the size and shape of brain networks in children, which could lead to improved understanding and more personalized...53% of Execs Say Healthcare Leads Artificial Intelligence Adoption
Fifty-three percent of healthcare executives say that the healthcare industry is ahead of most other industries in artificial intelligence adoption, according to a survey from KPMG. However, 37...Artificial Intelligence Helps Providers Choose Depression Therapies
Artificial intelligence tools may be able to help providers objectively diagnose and prescribe depression treatments based on analyses of brain activity, according to a study published in Nature...Advanced Medical Imaging, Genetic Analysis Could Improve Cancer Care
Incorporating genetic and cellular analysis of tumors with how they appear in medical images could help improve brain cancer treatment, showing that cells inside and surrounding a tumor play a major...One-Third of Orgs Use Artificial Intelligence in Medical Imaging
One-third of hospitals and imaging centers report using artificial intelligence, machine learning, or deep learning to aid tasks associated with patient care imaging or business operations, according...Deep Learning Tools Can Kickstart Cancer Radiation Therapy
New research from UT Southwestern has shown that deep learning technology could help providers quickly develop optimal treatment plans for cancer patients, decreasing the odds that the disease will...Google Uses Artificial Intelligence to Detect Breast Cancer
An artificial intelligence model developed by Google and other entities was able to identify breast cancer in screening mammograms with greater accuracy, fewer false positives, and fewer false...Artificial Intelligence Recognizes Cancer Cells in Pathology Slides
A software tool that leverages artificial intelligence was able to recognize cancer cells from digital pathology slides, leading to more customized treatment plans, according to a study published in...GE Launches Program to Ease Artificial Intelligence Adoption
GE Healthcare has launched the Edison Developer Program to accelerate artificial intelligence adoption and impact throughout the healthcare industry. The program is based on Edison, GE...Artificial Intelligence Predicts Lung Cancer Immunotherapy Success
An artificial intelligence algorithm was able to find previously unseen changes in patterns in CT scans and determine how well patients with lung cancer would benefit from immunotherapy, according to a...Big Data Analytics, Precision Medicine Top Priorities in 2020
Health systems are increasing their investments in technology that will boost big data analytics strategies and precision medicine, but limited resources and lack of reimbursement for these tools are...Machine Learning Microscope Adapts Lighting to Improve Diagnosis
Engineers at Duke University have developed a prototype microscope that adapts its lighting patterns while teaching itself the optimal settings needed to complete a given diagnostic task. In the...NIH Using Artificial Intelligence to Evaluate Stem Cell Quality
NIH researchers used artificial intelligence to evaluate stem cell-derived “patches” of retinal pigment epithelium (RPE) tissue for implanting into the eyes of patients with age-related...Machine Learning Tool Accurately Diagnoses Esophageal Cancer
Machine learning methods could accurately identify cancerous esophagus tissue on microscopy images without the time-consuming manual data input that is required for current methods, according to a...Sponsored by Pure Storage
