Crying isn’t the only clue: USF researchers are using AI to detect silent pain in newborns
How do you know when a newborn is in pain? A groundbreaking interdisciplinary project at the University of South Florida is answering that question
University of South Florida
image: University of South Florida pediatric physician Thao "Tina" Ho and Tampa General Hospital clinical research nurse Marcia Kneusel in the Tampa General Hospital NICU.
Credit: University of South Florida
TAMPA, Fla. (July 9, 2025) – How do you know when a newborn is in pain — especially one too weak to cry? A groundbreaking interdisciplinary project at the University of South Florida is answering that question with artificial intelligence, aiming to transform treatment in Neonatal Intensive Care Units across the country.
Funded by the National Institutes of Health, researchers from USF Health and the USF Bellini College of Artificial Intelligence, Cybersecurity and Computing are working with Tampa General Hospital to improve the comfort of newborns through real-time pain detection — utilizing technology and algorithms that have been in the making for nearly a decade.
“There are many challenges in managing pain in non-verbal and vulnerable preterm infants,” said Dr. Thao “Tina” Ho, associate professor of pediatrics at the USF Health Morsani College of Medicine and practicing neonatologist at TGH. “This study will develop a reliable system to detect pain continuously by interpreting the infant’s physical movements, facial expressions, heart rate and respiratory rate all together. This will allow the infant’s bedside nurses to respond timely to their pain to optimize their comfort and minimize medication exposure.”
Approximately one in 10 babies are admitted to the NICU each year to receive critical care, according to the Health Care Cost Institute. Pain assessments typically rely on nurses’ observations and scoring, which can vary widely. The new AI system aims to deliver a standardized, continuous and objective assessment using non-invasive, affordable sensors and cameras that integrate easily into existing hospital settings.
For parents like Mari Womack, whose daughter was born prematurely and spent time in the NICU, the potential for such a tool is deeply personal.
“She was too little and weak to even cry, so it was hard to know if she was in pain,” Womack said. Born prematurely and appearing blue due to lack of oxygen, a condition known as cyanosis, her daughter needed to be monitored closely and given special medications to improve for nearly a week. “I feel like this technology would have given us peace of mind. It could really help other families like ours.”
“This is exactly the kind of project that shows what USF is all about — innovation that has real-world health care impact,” said Yu Sun, principal investigator of the project and a professor of computer science and engineering at USF who specializes in AI and health care applications. “We’re combining our expertise in AI with pediatric medicine to create tools that improve care for vulnerable patients.”
The team is gathering photos, videos and vital signs of infants before and after surgery. In addition to TGH, they’re collecting data from partnering NICUs at Stanford University Hospital and Inova Hospital in Virginia, which will be analyzed for patterns to better understand how pain presents in newborns through their facial expressions, movements and vital signs. USF computer science doctoral student Jacqueline Hausmann and Distinguished University Professor Dmitry Goldgof will then train artificial intelligence to recognize those key indicators of pain and create a system that notifies nurses in real-time of distress.
“The goal is to improve pain management,” Sun said. “Our automated neonatal pain assessment system will detect pain before it spikes so it could be treated early. So the pain management will be more effective and rely less on opioid-based medications.”
Researchers hope to advance the study to randomized clinical trials in two years to evaluate the system’s effectiveness in real-time pain management and outcomes.
The collected data set is partially available to other researchers by request, with safeguards in place to protect patient privacy. View the full list of team members and collaborators.
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About the University of South Florida
The University of South Florida is a top-ranked research university serving approximately 50,000 students from across the globe at campuses in Tampa, St. Petersburg, Sarasota-Manatee and USF Health. USF is recognized by U.S. News & World Report as a top 50 public university and the best value in Florida. U.S. News also ranks the USF Health Morsani College of Medicine as the No. 1 medical school in Florida and in the highest tier nationwide. USF is a member of the Association of American Universities (AAU), a group that includes only the top 3% of universities in the U.S. With an all-time high of $738 million in research funding in 2024 and as a top 20 public university for producing U.S. patents, USF uses innovation to transform lives and shape a better future. The university generates an annual economic impact of more than $6 billion. USF’s Division I athletics teams compete in the American Athletic Conference. Learn more at www.usf.edu.
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