• Mayo Clinic develops novel AI class to advance cancer research, care

    March 12, 2024 - Mayo Clinic researchers have developed a new class of artificial intelligence (AI) – known as hypothesis-driven AI – to advance oncology research, according to a study published recently in Cancers. The research team underscored that this new type of AI is designed to incorporate specific hypotheses or research questions, rather than...

  • Machine learning enables prediction of pediatric urinary condition

    March 12, 2024 - Researchers from Boston Children's Hospital have developed a machine learning model to predict risk of dilating vesicoureteral reflux (VUR) in infants with hydronephrosis – a condition in which urine backs up into the kidney. Hydronephrosis is commonly identified using prenatal ultrasound, but these tests are limited in their ability to...

  • Deep learning tool targets ‘black box’ AI problem in medical imaging

    March 8, 2024 - A research team from the University of Illinois Urbana-Champaign’s Beckman Institute for Advanced Science and Technology has developed a deep learning-based medical imaging approach designed to tackle the ‘black box’ problem in healthcare artificial intelligence (AI). The ‘black box’ problem – a phenomenon in...

  • Top 10 Challenges of Big Data Analytics in Healthcare

    March 6, 2024 - Big data analytics is a major undertaking for the healthcare industry.  Providers who have barely come to grips with putting data into their electronic health records (EHRs) are now tasked with pulling actionable insights out of them – and applying those learnings to complicated initiatives that directly impact reimbursement. For...


Today's Top Stories

Predictive tool use has little effect on knee surgery decision-making

Researchers demonstrated that the use of a tool to predict total knee arthroplasty (TKA) in patients with knee osteoarthritis had little impact on patient-reported willingness to undergo the procedure,...

Deep learning tool predicts brain metastasis in lung cancer patients

A research team from Washington University School of Medicine in St. Louis has developed a deep learning (DL)-based approach to help predict which patients with non-small cell lung cancer (NSCLC) are...

Mayo Clinic develops novel AI class to advance cancer research, care

Mayo Clinic researchers have developed a new class of artificial intelligence (AI) – known as hypothesis-driven AI – to advance oncology research, according to a study published recently in...

Machine learning enables prediction of pediatric urinary condition

Researchers from Boston Children's Hospital have developed a machine learning model to predict risk of dilating vesicoureteral reflux (VUR) in infants with hydronephrosis – a condition in...

Mount Sinai to develop sleep apnea outcome risk prediction models

Researchers from Mount Sinai have been awarded a four-year, $3 million grant from the National Heart, Lung, and Blood Institute of the National Institutes of Health (NIH) to develop artificial...

Deep learning tool targets ‘black box’ AI problem in medical imaging

A research team from the University of Illinois Urbana-Champaign’s Beckman Institute for Advanced Science and Technology has developed a deep learning-based medical imaging approach designed to...

Artificial Intelligence Method Enables Data Mining from Pathology Reports

Cedars-Sinai researchers successfully utilized artificial intelligence (AI) to make pathology reports machine-readable, which could improve cancer patient recruitment in clinical trials. The research...

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