AI Tool Accurately Predicts Cancer Three Years Prior to Diagnosis
|
By HospiMedica International staff writers Posted on 24 Aug 2023 |
|
Over the past five decades, there has been a surge in cases of a specific type of esophageal and stomach cancer - esophageal adenocarcinoma (EAC) and gastric cardia adenocarcinoma (GCA). Both cancers have high fatality rates, although preventive measures can make a difference. Screenings can detect pre-cancerous changes, such as Barrett’s esophagus, often identified in individuals with long-standing gastroesophageal reflux disease (GERD). Although guidelines suggest screening for high-risk patients, many healthcare providers remain unfamiliar with this recommendation. Now, a new artificial intelligence (AI) tool offers accurate predictions for these forms of esophageal and stomach cancer at least three years in advance of a diagnosis.
Researchers at Michigan Medicine (Ann Arbor, MI, USA) have developed an automated tool integrated into the electronic health record (EHR). This tool has the potential to bridge the awareness gap between healthcare providers and patients with an elevated risk of developing EAC and GCA. The researchers employed a specific type of AI for analyzing data related to EAC and GCA rates across more than 10 million U.S. veterans in order to develop and validate the Kettles Esophageal and Cardia Adenocarcinoma prediction tool, or K-ECAN for short.
K-ECAN leverages readily accessible data from the EHR, including patient demographics, weight, prior diagnoses, and routine lab results, to gauge an individual's risk of developing EAC and GCA. Outperforming published guidelines and previously validated prediction tools, K-ECAN accurately predicts cancer at least three years ahead of a diagnosis. Integrating this AI tool into the EHR could automatically notify healthcare providers about patients at a higher risk of developing EAC and GCA.
“Symptoms of GERD, like heartburn, are an important risk factor for esophageal adenocarcinoma,” said Joel Rubenstein, M.D., M.S., professor of internal medicine at Michigan Medicine. “But most people with GERD symptoms will never develop esophageal adenocarcinoma and gastric cardia adenocarcinoma. In addition, roughly half of the patients with this form of cancer never experienced prior GERD symptoms at all. This makes K-ECAN particularly useful because it can identify people who are at elevated risk, regardless of whether they have GERD symptoms or not.”
Related Links:
Michigan Medicine
Channels
Critical Care
view channel
Powerful AI Risk Assessment Tool Predicts Outcomes in Heart Failure Patients
Heart failure is a serious condition where the heart cannot pump sufficient blood to meet the body's needs, leading to symptoms like fatigue, weakness, and swelling in the legs and feet, and it can ultimately... Read more
Peptide-Based Hydrogels Repair Damaged Organs and Tissues On-The-Spot
Scientists have ingeniously combined biomedical expertise with nature-inspired engineering to develop a jelly-like material that holds significant promise for immediate repairs to a wide variety of damaged... Read more
One-Hour Endoscopic Procedure Could Eliminate Need for Insulin for Type 2 Diabetes
Over 37 million Americans are diagnosed with diabetes, and more than 90% of these cases are Type 2 diabetes. This form of diabetes is most commonly seen in individuals over 45, though an increasing number... Read more
Surgical Techniques
view channel
Miniaturized Implantable Multi-Sensors Device to Monitor Vessels Health
Researchers have embarked on a project to develop a multi-sensing device that can be implanted into blood vessels like peripheral veins or arteries to monitor a range of bodily parameters and overall health status.... Read more
Tiny Robots Made Out Of Carbon Could Conduct Colonoscopy, Pelvic Exam or Blood Test
Researchers at the University of Alberta (Edmonton, AB, Canada) are developing cutting-edge robots so tiny that they are invisible to the naked eye but are capable of traveling through the human body to... Read more
Miniaturized Ultrasonic Scalpel Enables Faster and Safer Robotic-Assisted Surgery
Robot-assisted surgery (RAS) has gained significant popularity in recent years and is now extensively used across various surgical fields such as urology, gynecology, and cardiology. These surgeries, performed... Read more
Patient Care
view channel
First-Of-Its-Kind Portable Germicidal Light Technology Disinfects High-Touch Clinical Surfaces in Seconds
Reducing healthcare-acquired infections (HAIs) remains a pressing issue within global healthcare systems. In the United States alone, 1.7 million patients contract HAIs annually, leading to approximately... Read more
Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization
An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more
Game-Changing Innovation in Surgical Instrument Sterilization Significantly Improves OR Throughput
A groundbreaking innovation enables hospitals to significantly improve instrument processing time and throughput in operating rooms (ORs) and sterile processing departments. Turbett Surgical, Inc.... Read more
Health IT
view channel
Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients
Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more
Strategic Collaboration to Develop and Integrate Generative AI into Healthcare
Top industry experts have underscored the immediate requirement for healthcare systems and hospitals to respond to severe cost and margin pressures. Close to half of U.S. hospitals ended 2022 in the red... Read more
AI-Enabled Operating Rooms Solution Helps Hospitals Maximize Utilization and Unlock Capacity
For healthcare organizations, optimizing operating room (OR) utilization during prime time hours is a complex challenge. Surgeons and clinics face difficulties in finding available slots for booking cases,... Read more
AI Predicts Pancreatic Cancer Three Years before Diagnosis from Patients’ Medical Records
Screening for common cancers like breast, cervix, and prostate cancer relies on relatively simple and highly effective techniques, such as mammograms, Pap smears, and blood tests. These methods have revolutionized... Read morePoint of Care
view channel
Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing
Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Point of Care HIV Test Enables Early Infection Diagnosis for Infants
Early diagnosis and initiation of treatment are crucial for the survival of infants infected with HIV (human immunodeficiency virus). Without treatment, approximately 50% of infants who acquire HIV during... Read more
Whole Blood Rapid Test Aids Assessment of Concussion at Patient's Bedside
In the United States annually, approximately five million individuals seek emergency department care for traumatic brain injuries (TBIs), yet over half of those suspecting a concussion may never get it checked.... Read more
New Generation Glucose Hospital Meter System Ensures Accurate, Interference-Free and Safe Use
A new generation glucose hospital meter system now comes with several features that make hospital glucose testing easier and more secure while continuing to offer accuracy, freedom from interference, and... Read moreBusiness
view channel
Johnson & Johnson Acquires Cardiovascular Medical Device Company Shockwave Medical
Johnson & Johnson (New Brunswick, N.J., USA) and Shockwave Medical (Santa Clara, CA, USA) have entered into a definitive agreement under which Johnson & Johnson will acquire all of Shockwave’s... Read more
