The Efficiency of Writing Endoscopic Reports by Artificial Intelligence and Physicians: a Randomized Controlled Trial

Shandong University

Status: Unknown

Conditions: Gastrointestinal Disease

Treatments: Other: AI generated report; Other: physicians writing report

Study type: Interventional

Funder types: Other

Identifiers

NCT04275609

2020SDU-QILU-G002

Details and patient eligibility

About

The purpose of this study is to compare the efficiency of writing endoscopic reports by artificial intelligence and physicians through a randomized controlled trial.

Full description

Digestive endoscopy permits early detection of gastrointestinal diseases and improving the patients' quality of life. However, writing endoscopic report takes a lot of manpower and time, reducing the efficiency of endoscopy. Our center has developed a structured diagnostic report generation system for digestive endoscopy, which can generates the report by artificial intelligence. Here, we compare the efficiency of writing endoscopic reports by artificial intelligence and physicians through a randomized controlled trial.

Enrollment: 80 estimated patients

Sex: All

Ages: 18 to 80 years old

Volunteers: Accepts Healthy Volunteers

Inclusion criteria

• patients aged between 18 and 80 years；
• patients undergoing gastroscopy and colonoscopy examination with anesthesia；
• patients able to give informed consent

Exclusion criteria

• patients with the contraindications to endoscopic examination;
• a history of gastrointestinal cancers;
• allergic to anaesthetics in previous medical history;
• the endoscopic procedure cannot be completed due to stenosis, obstruction, solid food or complications of anaesthesia.

Trial design

Primary purpose: Diagnostic

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Single Blind

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80 participants in 2 patient groups

Artificial Intelligence generating endoscopic report

Experimental group

Description:

In this group, the endoscopic report was generated by artificial intelligence (AI) based on the structured diagnostic report generation system.

Treatment:

Other: AI generated report

Physicians writing endoscopic report

Active Comparator group

Description:

In this group, the endoscopic report was writing by physicians.

Treatment:

Other: physicians writing report