Topic: Health
Scientists at UC San Francisco and Wayne State University used artificial intelligence to analyze medical data much faster than human teams. They were able to predict preterm birth using data from over 1,000 pregnant women.
Researchers at UC San Francisco and Wayne State University tested how well generative AI could process huge amounts of medical data. They compared the results with traditional computer science teams and found that AI worked much faster. In some cases, AI produced better results than human experts. The challenge was to predict preterm birth using data from over 1,000 pregnant women. Even a junior research pair made up of a master's student and a high school student successfully developed prediction models with AI support.
The system generated functioning computer code in minutes, which would normally take experienced programmers several hours or even days. The advantage came from AI's ability to write analytical code based on short but highly specific prompts. Not every system performed well, but those that succeeded did not require large teams of specialists to guide them.
This speed-up could improve diagnostic tools for preterm birth, which is the leading cause of newborn death and a major contributor to long-term motor and cognitive challenges in children. In the United States, roughly 1,000 babies are born prematurely each day.
Why It Matters
Understanding what causes preterm birth can help doctors develop better treatments and improve outcomes for premature babies. This research could lead to faster diagnosis and treatment options, which is crucial for improving healthcare in India.
Key Facts
- Scientists used AI to analyze medical data much faster than human teams.
- The challenge was to predict preterm birth using data from over 1,000 pregnant women.
- AI generated functioning computer code in minutes, which would normally take experienced programmers several hours or even days.
- Preterm birth is the leading cause of newborn death and a major contributor to long-term motor and cognitive challenges in children.
- Roughly 1,000 babies are born prematurely each day in the United States.
Key Terms
- Generative AI
- A type of artificial intelligence that can generate new information based on short prompts.
Implications
Understanding what causes preterm birth can help doctors develop better treatments and improve outcomes for premature babies. This research could lead to faster diagnosis and treatment options, which is crucial for improving healthcare in India.
Source: https://www.sciencedaily.com/releases/2026/02/260221060942.htm
Journal Reference:
- Reuben Sarwal, Victor Tarca, Claire A. Dubin, Nikolas Kalavros, Gaurav Bhatti, Sanchita Bhattacharya, Atul Butte, Roberto Romero, Gustavo Stolovitzky, Tomiko T. Oskotsky, Adi L. Tarca, Marina Sirota. Benchmarking large language models for predictive modeling in biomedical research with a focus on reproductive health. Cell Reports Medicine, 2026; 7 (2): 102594 DOI: 10.1016/j.xcrm.2026.102594
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