New AI Model Predicts Early Death Risk in IBD Patients with 95% Accuracy, Offering Hope for Lifesaving Interventions
March 24, 2025
A groundbreaking AI model has been developed that predicts the likelihood of premature death from inflammatory bowel disease (IBD) with an impressive 95% accuracy, offering new hope for reducing early mortality rates.
The study highlights the importance of early identification and treatment of chronic illnesses, which could significantly decrease premature death rates among IBD patients.
Researchers from notable institutions, including the University of Toronto and McGill University, conducted the study, analyzing data from over 9,000 IBD patients who died between 2010 and 2020.
The findings revealed that 47.2% of the deceased IBD patients died prematurely, with men representing half of these deaths, underscoring the urgent need for targeted interventions.
Common chronic conditions observed at the time of death included arthritis, hypertension, mood disorders, kidney failure, and cancer, with a notable correlation between these conditions and premature mortality.
The study advocates for integrated healthcare approaches that involve multiple medical specialties, particularly during young and middle adulthood, to better manage IBD and its associated risks.
While the link between IBD and other conditions like arthritis and mental health issues remains unclear, evidence suggests associations with systemic inflammation and immune dysregulation.
Dr. Eric Benchimol, the senior author of the study, emphasized that deaths are not typically caused directly by IBD, highlighting the necessity of monitoring and treating co-existing chronic conditions.
Dr. Benchimol further stressed that addressing chronic conditions early is crucial for improving patients' health trajectories and reducing the risks of premature death.
The research underscores the need for coordinated care among healthcare providers for IBD patients, rather than isolated treatment approaches.
Published in the Canadian Medical Association Journal, this study significantly contributes to the understanding of IBD and the associated health risks, paving the way for future research.
Future research will build on these findings by tracking IBD patients and incorporating additional clinical variables, while also exploring environmental risk factors for IBD development.
Summary based on 2 sources
Get a daily email with more AI Research stories
Sources

Global News • Mar 24, 2025
AI can predict premature death among people with inflammatory bowel disease: study
New Atlas • Mar 24, 2025
Half of bowel disease cases result in premature death – AI can change this