AI Reveals Cellular Variants Between Black and White Cancer Patients
Researchers at Case Western Reserve University are using artificial intelligence to reveal cellular distinctions between black and white patients with prostate cancer, and have received $3.2 million in...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...Alzheimer’s Tau Protein Could Advance Cognitive Precision Medicine
Brain imaging of tau-protein “tangles” accurately predicted the location of brain atrophy in patients with Alzheimer’s a year or more in advance, according to a study published in...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...Natural Language Processing Advances Clinical Decision Making
Providers are inundated with large amounts of data that is daunting to comb through to find actionable outcomes. Artificial intelligence (AI) technology is frequently seen as the solution to...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
