P1168 - Emerging Trends: Wearable AI for Personalized Care in Gastroenterology

Sunday, October 22, 2023

3:30 PM – 7:00 PM PT

Location: Exhibit Hall

Has Audio

Presenting Author(s)

AP

Achal Patel, MD

Nassau University Medical Center
East Meadow, NY

Rajmohan Rammohan, MD, Melvin Joy, MD, Sai Greeshma Magam, MD, Dilman Natt, MD, Achal Patel, MD, Tulika Saggar, MD, Abhishek Tadikonda, MD, Jiten Desai, MD, Sandra Gomez, MD, Rucha Jiyani, MD, Saher Sheikh, MD, Paul Mustacchia, MD, MBA
Nassau University Medical Center, East Meadow, NY

Introduction: Our study explores the use of AI in health information sourcing, focusing on Siri, Apple's intelligent assistant. We compare Siri's responses to common gastroenterology-related queries on two devices, the iPhone and iWatch. As AI, like Siri, Alexa, Google Assistant, and Cortana, becomes increasingly integral in everyday healthcare, understanding the question's nature and the response quality has emerged as a vital research area

Methods: We utilized Apple's universal AI software on the iPhone and iWatch to assess the dependability and credibility of gastroenterology-related information. Two anonymous authors graded the responses using Likert scale. We analyzed the accuracy of the audio responses and the quality of the supporting sources for each answer. Native language speakers participated in the study. Lastly, we employed T test to pinpoint the crucial factor influencing the results

Results: When compared to the iWatch, the iPhone provided significantly better responses, with more reliable references and images (95% vs. 91%, P= 0.023, 95% CI). However, there was no significant difference concerning the credibility of the information between the two devices (94% vs. 92%, p< 0.012).

Discussion: Artificial Intelligence persists as a crucial component in human progress. Wearable devices have emerged as a popular source for information. However, our study reveals a noticeable disparity in medical information reliability between wearable AI and traditional AI platforms

Figure: Wearable AI reliability plot

Questions	PHONE AI	WATCH AI	p value
Whats my calorie intake?	YES	YES	0.33
Show me the nearest Gastroenterologist	YES	NO	0.012
When do I get my colonoscopy?	YES	YES	0.23
Am I Obese?	YES	YES	0.56
What is Crohn's disease?	YES	NO	0.025
What medication do I take for H pylori	YES	NO	< 0.05

Table: Study outcome Phone AI vs Watch AI

Disclosures:

Rajmohan Rammohan indicated no relevant financial relationships.

Melvin Joy indicated no relevant financial relationships.

Sai Greeshma Magam indicated no relevant financial relationships.

Dilman Natt indicated no relevant financial relationships.

Achal Patel indicated no relevant financial relationships.

Tulika Saggar indicated no relevant financial relationships.

Abhishek Tadikonda indicated no relevant financial relationships.

Jiten Desai indicated no relevant financial relationships.

Sandra Gomez indicated no relevant financial relationships.

Rucha Jiyani indicated no relevant financial relationships.

Saher Sheikh indicated no relevant financial relationships.

Paul Mustacchia indicated no relevant financial relationships.

Rajmohan Rammohan, MD, Melvin Joy, MD, Sai Greeshma Magam, MD, Dilman Natt, MD, Achal Patel, MD, Tulika Saggar, MD, Abhishek Tadikonda, MD, Jiten Desai, MD, Sandra Gomez, MD, Rucha Jiyani, MD, Saher Sheikh, MD, Paul Mustacchia, MD, MBA. P1168 - Emerging Trends: Wearable AI for Personalized Care in Gastroenterology, ACG 2023 Annual Scientific Meeting Abstracts. Vancouver, BC, Canada: American College of Gastroenterology.