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
Latest AI News
- AI-Powered ECG Model Gains FDA Authorization for Emergency Cardiac Assessment
- AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment
- Explainable AI Tool Identifies High-Risk Patients Before Heart Attack Reperfusion
- AI Tools Show Potential to Detect Subtle Signs of Interval Breast Cancer
- AI Framework Aims to Turn Medical Care from Reactive to Preventive
- AI Model Predicts Indwelling Catheter Use After Spinal Cord Injury
- AI Tool Uses Mammograms to Detect Common Cardiovascular Diseases
- AI Tool Predicts Post-Heart Attack Trajectories to Personalize Follow-Up
- AI Digital Twin Platform Supports Personalized Cancer Treatment
- Study Reveals Persistent Race and Gender Bias in Medical AI Models
- New Study Highlights Benefits and Risks of AI Explanations in Clinical Diagnosis
- AI Improves Bronchoscopic Navigation to Difficult-to-Reach Lung Lesions
- Collaborative AI System Improves Medical Diagnostic Accuracy
Channels
Critical Care
view channel
Portable Artificial Lung Technology Could Reshape Care for Chronic Lung Disease
Chronic lung disease can leave patients dependent on prolonged mechanical ventilation or awaiting transplantation, both of which carry substantial morbidity and healthcare costs. Ventilatory support may... Read more
Multimodal AI Improves Treatment Response Prediction in Lung Cancer
Immunotherapy has transformed care for advanced non-small cell lung cancer (NSCLC), yet only a minority of patients achieve durable benefit. Clinicians still struggle to predict who will respond, and treatment... Read more
New Approach Helps Identify Materials for More Reliable Wearable Electronics
Wearable health monitors and electronic skin must maintain stable performance while being stretched and bent. Molecular single crystals are promising for such stretchable electronics, yet the microscale... Read more
Scotland Adopts Respiratory Infection Control Guidance Informed by Aerosol Research
Preventing respiratory infection transmission in hospitals remains a core patient and staff safety priority. Many precautions have hinged on the assumption that certain clinical interventions create high-risk... Read moreSurgical Techniques
view channel
Robotic Platform Advances Fetoscopic Treatment of Twin-to-Twin Transfusion Syndrome
Twin-to-twin transfusion syndrome is a life-threatening complication in monochorionic twin pregnancies caused by unbalanced placental blood flow. Definitive treatment requires endoscopic laser coagulation... Read more
Patient-Specific AI Tool Aligns X-Rays With 3D Scans For Surgical Navigation
Minimally invasive procedures rely on real-time X-rays for navigation, but two-dimensional images can obscure the precise location and orientation of instruments inside the body. This uncertainty can prolong... Read more
Hydrogel Dermal Supports Healing of Complex Wounds After Cancer Surgery
Full-thickness skin defects following cancer excision challenge reconstructive teams because grafts and flaps can add donor-site morbidity and prolong recovery. These wounds are common on cosmetically... Read more
FDA Clears Integrated Platform for Real-Time Cardiac Imaging and Catheter Guidance
Catheter-based treatment of cardiac arrhythmias relies on precise, real-time visualization and navigation for safe, accurate therapy delivery. Yet electrophysiology teams often use separate imaging, mapping,... Read morePatient Care
view channel
EHR Model Flags High-Risk Periods in Patients with Metastatic Breast Cancer
Determining when patients with metastatic breast cancer are nearing the end of life remains difficult, often leading to intensive interventions with limited benefit. Prognostic uncertainty can delay goals-of-care... Read more
Virtual Reality Helps Claustrophobic Patients Complete Cardiac PET/CT Scans
Anxiety and claustrophobia—intense fear of confined spaces—often prevent patients from completing cardiac positron emission tomography/computed tomography (PET/CT). Aborted scans delay diagnosis, consume... Read more
Medical Imaging
view channel
Structure-Aware AI Aims to Improve Reliability of Medical Image Analysis
Clinicians increasingly rely on medical imaging to guide diagnosis and treatment, but machine learning systems used to analyze these images can be unreliable and difficult to interpret. Small, heterogeneous... Read more
PSMA PET/CT Helps Guide Pre-Biopsy Decisions in Prostate Cancer
Prostate cancer evaluation often begins with prostate-specific antigen (PSA) testing, but elevated levels are not specific to cancer and can lead to unnecessary biopsies. These procedures carry risks of... Read more
AI Models Evaluated for Spotting Ischemic Stroke Lesions on Routine MRI
Rapid detection of ischemic stroke on brain MRI is essential because treatment benefit declines with time. Many centers first acquire contrast-free MRI FLAIR sequences because they are quick and broadly... Read more
Noninvasive MRI Spectroscopy Classifies Pediatric Medulloblastoma Molecular Subgroups
Medulloblastoma, the most common malignant pediatric brain tumor, requires precise molecular classification to guide therapy and predict outcomes. Current subgrouping typically depends on surgical sampling... Read moreHealth IT
view channel
New Tablet Platform Extends Stroke Neurorehabilitation Beyond the Clinic
Continuity and intensity of neurorehabilitation after stroke are critical for functional recovery, but access to ongoing therapy at home often remains limited. Hospitals and outpatient programs therefore... Read more
Smartphone App Improves Blood Pressure Control in Hypertension
Hypertension, or high blood pressure, is a major modifiable driver of cardiovascular, renal, and cerebrovascular morbidity. Despite effective therapies, many adults fail to achieve control, leading to... Read more
Point of Care
view channel
Microneedle Patch Enables At-Home Monitoring of Acute Kidney Injury
Kidney disease is often silent in its early stages, making timely detection difficult outside clinical settings. Early biomarkers such as neutrophil gelatinase–associated lipocalin can require blood draws... Read more
Ultrathin Metasurface Could Bring Quantitative Phase Imaging to Portable Devices
Point-of-care imaging often depends on bulky optical systems that have difficulty visualizing nearly transparent cells and tissues without staining. These limitations can slow diagnosis and restrict use... Read more
Business
view channel
Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery
As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Robotic Single-Port System Gains CE Mark for Transvaginal Gynecologic Procedures
Intuitive (Sunnyvale, CA, USA) announced that it has received CE mark approval for use of the da Vinci SP Single Port surgical system in transvaginal gynecologic procedures, marking the first such indication... Read more
