色情视频

National Nurses Week: How an 色情视频 nurse-scientist is transforming health care with AI

色情视频鈥檚 Rebecca Mattson pioneers AI-driven research to detect lung cancer sooner and deliver real-time nutritional support for pregnant women.

Tuesday, May 6, 2025
A digital illustration showing a nurse wearing a white coat and blue gloves interacting with a hologram dashboard.
(Stock image)

As National Nurses Week highlights the contributions of nurses across the country, 色情视频 assistant professor and nurse-scientist Rebecca Mattson is at the forefront of compassion and cutting-edge innovation. Her research leverages artificial intelligence and machine learning (AI-ML) to address two urgent public health issues: early detection of lung cancer and improving maternal nutrition.

 Rebecca Mattson, PhD, RN, 色情视频 assistant professor.Open the image full screen.
Rebecca Mattson, PhD, RN, 色情视频 assistant professor.
Mattson is a co-investigator in the National Institutes of Health (NIH)-funded AIM-AHEAD Program, an initiative to advance AI-ML tools and improve health outcomes, particularly in underserved communities.

鈥淚 chose nursing to be part of something larger than myself鈥攖o offer care that is grounded in empathy, guided by knowledge and aimed at creating lasting change,鈥 said Mattson. 

She works closely with Uduak George, 色情视频 associate professor of mathematics and the project's principal investigator. The team is building an AI model to spot lung cancer and chronic conditions linked to higher risks of heart disease, stroke and type 2 diabetes sooner than current screening methods. George built AI algorithms to train the model to study anonymous medical records from tens of thousands of people.

鈥淭he sheer amount of this data enables us to train a model to capture subtle patterns, potentially allowing for the identification of lung cancer risk, which we hope will yield information to guide early interventions and mitigate the risk of lung cancer."

Uduak George, assistant professor, 色情视频 College of Sciences, Mathematics and Statistics.Open the image full screen.
Uduak George, assistant professor, 色情视频 College of Sciences, Mathematics and Statistics.
While George leads algorithm development, Mattson conducts a comprehensive review of existing lung cancer and metabolic syndrome screening practices to ensure the model is rooted in clinical reality.

鈥淥ur goal is to integrate social, behavioral, and clinical data into one interpretable model鈥攕omething that can be used by providers during routine care to catch disease sooner,鈥 Mattson said. 鈥淭he earlier a cancer is detected, the sooner treatment can begin, which generally leads to better outcomes.鈥

Beyond oncology, Mattson also leads research in creating an AI-powered website to provide real-time, personalized nutrition guidance to pregnant women, particularly those with conditions such as gestational diabetes and gestational hypertension. 

Mattson is developing the website prototype, working with 色情视频鈥檚 ZIP Launchpad, an innovative resource center that supports students, staff, faculty and researchers in launching startups from early-stage ideas. 

鈥淭he prototype AI model provides the same medically evidence-based nutritional sources as a pregnant woman would receive from an obstetrician, midwife or registered dietitian for each trimester,鈥 she explained. 鈥淚t鈥檚 also designed to track nutrition throughout the pregnancy.鈥

Currently in the pilot phase, Mattson is gathering feedback about the project from pregnant women through the  REDCap AI Pregnancy and Nutrition survey.

鈥淯ltimately, I believe AI-ML tools are about making health care more proactive, more personalized, and more accessible,鈥 Mattson said.

As a nurse and researcher, Mattson is quick to say AI is not a replacement for human care but a tool to enhance it, particularly in the hands of nurses. 

鈥淲e are not bound by a single context or limited to one environment鈥搘e are called to serve where our capacities are most impactful,鈥 she said in honoring nurses, especially this week. 

The NIH AIM-AHEAD program (Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity) was established in 2021. Its researchers and clinicians use partnerships with researchers and communities to ensure health care technologies serve all populations equitably, improving access, quality, value, and outcomes especially for those most at risk of inequities. 

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