Artificial Intelligence for Pancreatic Cancer Detection

Overseen By Shyam Varadarajulu, MD

Age: 18+

Sex: Any

Trial Phase: Academic

Sponsor: Orlando Health, Inc.

Disqualifiers: Age < 18 years

No Placebo Group All trial participants will receive the active study treatment (no placebo)

Compensation: Varies

Number of Visits: 1

310 Participants Needed

What You Need to Know Before You Apply

What is the purpose of this trial?

This trial evaluates whether a new artificial intelligence (AI) system can detect pancreas problems during an endoscopic ultrasound. The goal is to determine if the AI can match or surpass the findings of doctors during these exams. This trial suits individuals already scheduled for an endoscopic ultrasound. Those planning to undergo this exam might be ideal candidates for the study. As a Phase 2 trial, this research measures the AI system's effectiveness in an initial, smaller group, providing an opportunity to contribute to innovative healthcare advancements.

Do I need to stop my current medications for this trial?

The trial information does not specify whether you need to stop taking your current medications.

What prior data suggests that this artificial intelligence system is safe for detecting pancreatic abnormalities?

Research has shown that using artificial intelligence (AI) with endoscopic ultrasound, a type of imaging test, is generally well-tolerated. Studies have found that AI can detect pancreatic problems without causing additional harm to patients. In trials, AI systems accurately identified differences between cancerous and non-cancerous growths in the pancreas.

These studies have not shown any negative effects from the AI itself, suggesting that AI does not add extra risk to these procedures. Since the trial focuses on AI's ability to find abnormalities, it appears safe for participants. AI is used alongside regular ultrasound procedures, which are already known to be safe. ^{1 2 3 4 5}

Why are researchers excited about this trial?

Researchers are excited about using artificial intelligence (AI) in endoscopic ultrasound because it could significantly enhance the accuracy of detecting pancreatic abnormalities. Traditional endoscopic ultrasounds rely heavily on the expertise of the endoscopist to identify issues, but AI can assist by analyzing images to spot abnormalities that might be missed by the human eye. This collaboration between AI and doctors could lead to earlier and more precise diagnoses, potentially improving treatment outcomes for patients.

What evidence suggests that this artificial intelligence system is effective for detecting pancreatic abnormalities?

This trial will evaluate the use of artificial intelligence (AI) in endoscopic ultrasound (EUS) procedures. Research has shown that AI can help identify pancreatic issues during EUS procedures. Studies indicate that AI-enhanced EUS can detect both solid and fluid-filled abnormalities in the pancreas. This technology aids doctors in diagnosing pancreatic issues by analyzing images with high accuracy. Reviews suggest that AI could transform the diagnosis and management of pancreatic problems, making it a valuable tool for doctors. Overall, AI in EUS shows strong promise in early detection of pancreatic problems. ^{2 4 5 6 7}

Who Is on the Research Team?

Shyam Varadarajulu, MD

Principal Investigator

Orlando Health, Digestive Health Institute

Are You a Good Fit for This Trial?

Inclusion Criteria

I am scheduled for an endoscopic ultrasound exam.

Timeline for a Trial Participant

Screening

Participants are screened for eligibility to participate in the trial

1-2 weeks

Endoscopic Ultrasound Procedure

Participants undergo endoscopic ultrasound procedures to detect pancreatic abnormalities, with results compared between endoscopist and AI system

1 day

1 visit (in-person)

Follow-up

Participants are monitored for any immediate post-procedure complications and the effectiveness of AI detection is evaluated

1-2 weeks

What Are the Treatments Tested in This Trial?

Interventions

• Artificial Intelligence

How Is the Trial Designed?

Group I: Patients undergoing endoscopic ultrasound procedures Experimental Treatment 1 Intervention

Patients will undergo endoscopic ultrasound procedures as planned. Abnormalities in the pancreas identified by the endoscopist during the endoscopic ultrasound examination will be correlated against those detected by the AI platform.

Who Is Running the Clinical Trial?

Orlando Health, Inc.

Lead Sponsor

Trials

32

Recruited

15,100+

Citations

1. clinicaltrials.gov clinicaltrials.gov/study/NCT06564571

Artificial Intelligence in Endoscopic Ultrasound Ability of AI to detect pancreatic abnormalities as identified by an endoscopist during EUS examination of the pancreas. 1 day. Secondary ...

2. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC11762820/

Advances in Endoscopic Ultrasound in Pancreatic Cancer ... This article aims to provide an overall review of the current applications of EUS in the diagnosis and treatment of pancreatic cancer

3. sciencedirect.com sciencedirect.com/science/article/abs/pii/S1521691825000022

Integrating artificial intelligence with endoscopic ultrasound ... This review highlights the current state of AI-enhanced EUS (AI-EUS) for diagnosing solid and cystic pancreatic lesions, as well as biliary diseases.

4. gastrojournal.org gastrojournal.org/article/S0016-5085(25)00648-1/fulltext

Artificial Intelligence in Biliopancreatic Disorders This review explores the transformative potential of artificial intelligence (AI) in the diagnosis and management of biliopancreatic disorders.

5. mdpi.com mdpi.com/2036-7422/15/4/70

The Role of Artificial Intelligence in Endoscopic Ultrasound ... This narrative review explores the application of AI in enhancing Endoscopic Ultrasound (EUS) imaging techniques for pancreatic pathologies.

6. pmc.ncbi.nlm.nih.gov pmc.ncbi.nlm.nih.gov/articles/PMC10720860/

Artificial intelligence assisted endoscopic ultrasound for ... This study aims to review the use of AI in the detection and differentiation of pancreatic space-occupying lesions and to compare AI-assisted endoscopic ...

7. journals.lww.com journals.lww.com/eusjournal/fulltext/9900/a_multimodal_artificial_intelligence_system_for.191.aspx

A multimodal artificial intelligence system for the detection ... In this study, we developed a deep learning–based multimodal AI system to distinguish carcinoma from noncancerous SPLs under EUS. By integrating ...