AI In Healthcare

Predictive Analytics Flags Gynecologic Cancer Relapse in Patients

by Erin McNemar, MPA

Nagourney Cancer Institute researchers in collaboration with the Federal University of Sao Paulo, Brazil, University of California, Irvine, and Todd Cancer Institute discovered metabolic signatures in...

Microscopy, Artificial Intelligence Aids Detection of COVID-19

by Erin McNemar, MPA

By pairing microscopy and artificial intelligence, Beckman Institute for Advanced Science and Technology researchers created a COVID-19 test that is fast, accurate, and cost-effective. As the pandemic...

Predictive Model Projects Cervical Cancer Elimination

by Erin McNemar, MPA

A predictive model estimated that cervical cancer could be virtually eliminated in the United States by 2030 in communities with low poverty rates, but not until 2044 in communities with high poverty...

Using SDOH Data to Enhance Artificial Intelligence, Outcomes

by Erin McNemar, MPA

As providers search for ways to improve their methods of care, social determinants of health (SDOH) have become an increasingly popular area of research. These social factors, which impact...

Blood Samples, Predictive Analytics Determine COVID-19 Outcomes

by Erin McNemar, MPA

A new study of blood samples from nearly 200 COVID-19 patients reveals underlying metabolic changes that regulate how immune cells respond to the infection. These changes are associated with disease...

Artificial Intelligence Predicts Ventilator Need of COVID-19 Patients

by Erin McNemar, MPA

Case Western Reserve University researchers have developed an artificial intelligence tool that can predict if a COVID-19 patient will need help breathing with a ventilator. The tool was created by...

Machine Learning Tool Detects Genetic Syndromes in Children

by Erin McNemar, MPA

Children’s National Hospital researchers developed a machine learning tool that offers rapid genetic screening, potentially accelerating the diagnosis of genetic syndromes in children. The deep...

Enhancing AI in Chronic Disease Management with Data Collection

by Erin McNemar, MPA

To effectively use artificial intelligence in chronic disease management, providers must have high-quality and accurate data. According to University of Pennsylvania Medical Center (UPMC) Chief Health...

Using Artificial Intelligence to Examine Biopsied Tissue Samples

by Erin McNemar, MPA

University of Los Angeles (UCLA) engineers developed a method to improve diagnostic tools that examine biopsied tissue samples using artificial intelligence. The AI system uses virtual re-staining of...

Using Data Analytics to Close Care Gaps, Improve Patient Outcomes

by Erin McNemar, MPA

Data analytics serves as an essential tool when trying to close gaps in care. By studying data, providers can determine what steps need to be taken to improve patient outcomes. Assistant Vice...

Detecting COVID-19 with Artificial Intelligence, Imaging Technology

by Erin McNemar, MPA

Using artificial intelligence technology, Terasaki Institute for Biomedical Innovation (TIBI) researchers developed and validated an image-based detection model for COVID-19. The model analyzes lung...

Artificial Intelligence Predicts Metastatic Risk in Skin Cancers

by Erin McNemar, MPA

UT Southwestern Medical Center researchers have discovered a method to predict which skin cancers are highly metastatic with the help of artificial intelligence. The study in Cell Systems examined how...

Artificial Intelligence Therapy Reduces Depression and Anxiety

by Erin McNemar, MPA

In a recent clinical study, scientists at Stanford University confirmed a new model of mental health treatment in which artificial intelligence therapy is implemented, significantly reducing symptoms...