Population Health News

Social Determinants of Health Impact Cancer Screening Rates

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Individuals living in areas of greater deprivation and rurality had lower rates of recommended cancer screening, reflecting the significant impact the social determinants of health have on care access,...

Artificial Intelligence Identifies High-Risk COVID-19 Patients

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Medical Home Network, an organization serving patients in the Chicago area, is using artificial intelligence to identify individuals who have a heightened vulnerability to severe complications from...

Johns Hopkins Develops Real-Time Data Dashboard to Track Coronavirus

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The Center for Systems Science and Engineering (CSSE) at Johns Hopkins University has developed an interactive, web-based dashboard that tracks real-time data on confirmed coronavirus cases, deaths,...

Opioid Use After C-Sections Can Inform Individualized Prescriptions

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Knowledge about patients’ opioid use after cesarean section surgery and before discharge could help inform more individualized prescriptions and cut down on unnecessary, leftover pills, a study...

Artificial Intelligence Model Tracks Spread of Lyme Disease

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Using 17 years of publicly available data, researchers built an artificial intelligence model that can help identify regions of the US where Lyme disease cases may go unreported, a study published in...

AI Reveals Cellular Variants Between Black and White Cancer Patients

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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

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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

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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...

Precision Medicine Increases Lifespan of Pancreatic Cancer Patients

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A precision medicine service designed to understand differences in patients’ tumors could help people with pancreatic cancer live longer, according to data from the Pancreatic Cancer Action...

Radiologist, Machine Learning Combo Enhances Breast Cancer Screening

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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...

Artificial Intelligence May Boost Sleep Disorder Treatment, Diagnosis

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Researchers could use artificial intelligence to boost efficiencies and precision in sleep disorder treatment, leading to improved care and better patient outcomes, according to a new position...

Machine Learning, EHR Data Reveal Chronic Disease Associations

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A machine learning algorithm can mine EHR data and discover novel associations between common chronic diseases and lesser-known conditions, which could support earlier monitoring or medical...

New Algorithm Tracks Sepsis Incidence Among Pediatric Patients

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Researchers at Children’s Hospital of Philadelphia (CHOP) have developed a new algorithm that can track the epidemiology of sepsis among pediatric patients, allowing for more accurate data...

Artificial Intelligence Identifies Worsening Heart Failure

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Researchers have developed a new wearable sensor that leverages artificial intelligence to identify worsening heart failure before a health crisis occurs, potentially preventing hospital...

Genetics, Social Determinants Have Joint Impact on Cognitive Health

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Genetics and community-level social determinants may interact to have a positive or negative impact on individuals’ cognitive health, a team from Florida Atlantic University (FAU) recently...

Deep Learning Model Identifies Drug to Combat Antibiotic Resistance

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A deep learning algorithm has identified a new drug that kills many of the world’s most challenging disease-causing bacteria, including some strains of antibiotic-resistant bacteria. Researchers...

Traditional Risk Models Predict Heart Disease as Well as Genetic Test

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Cardiovascular factors typically evaluated in an annual physical, including blood pressure, cholesterol levels, diabetes, and smoking status, are just as accurate in predicting who will develop...

Top 3 Data Challenges to Addressing the Social Determinants of Health

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Across the healthcare landscape, it is now widely understood that the social determinants of health (SDOH) have a major impact on health outcomes, care quality, and medical costs. An...

Machine Learning Uses EHR Data to Predict Alzheimer’s Risk

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Using structured and unstructured EHR data, machine learning algorithms could accurately identify patients at risk of developing Alzheimer’s disease and related dementias. At least 50 percent of...

Predictive Analytics Model Forecasts Hernia Surgery Outcomes

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Researchers at the University of Tennessee, Knoxville, have developed a predictive analytics algorithm that can identify future at-risk patients who have undergone hernia surgery, helping providers to...