AI-Assisted Polyp Detection  

AI-Assisted Polyp Detection

SKOUT™ uses advanced computer vision technology designed to recognize suspicious tissue and provide real-time feedback to gastroenterologists, drawing their attention to potential areas of interest, with the goal of early lesion detection. Early detection is key in the effort to decrease the incidence of colorectal cancer, the second leading cause of cancer-related deaths in the United States and Europe.

123

1

2

3

4

$20B
25%
95%
~150k

spent each year in the U.S. on colon cancer screening

4

of polyps are missed by physicians

5

of colon cancers develop from adenomas

6

new cases of colorectal cancer are diagnosed in the United States every year

7

The first clinical trial for SKOUT, the AI-based medical device designed to detect potential colorectal polyps, has been completed, and is under review with the Food and Drug Administration via a 510k submission.

 

SKOUT is not available for sale in the United States. 

Depiction of SKOUT identifying a 5mm Sessile Serrated Lesion in the Ascending Colon.  

Endoscopy Solutions

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AI-Enabled Documentation

Currently gastroenterologists spend significant time filling out post-procedure documentation. This includes logging start and end times of procedures, timestamps of reaching anatomical landmarks, summarizing biopsy / resection procedures and bowel prep scores. Based on the similar computer vision technology deployed in the endoscopy suite, Iterative Scopes has partnered with Provation to develop an AI-enabled documentation integration that aims to ease the burden of documentation for endoscopic procedures. Enabling direct scope to text interpretation during a procedure can reduce the time it takes a gastroenterologist to complete their post-procedure documentation, allowing them to spend more time with patients.

Video for illustrative purposes only.

1. Principi M, Contaldo A, Bianchi FP, et al. Inter-Observer Agreement of a New Endoscopic Score for Ulcerative Colitis Activity: Preliminary Experience. Diagnostics (Basel). 2020;10(4):213. Published 2020 Apr 12. doi:10.3390/diagnostics10040213

2. Data from: https://pubmed.ncbi.nlm.nih.gov/8978338/

3. Data from: https://pubmed.ncbi.nlm.nih.gov/21131934/

4: Data from CDC: https://www.jwatch.org/na47723/2018/10/23/burden-and-costs-gastrointestinal-disease-us
 

5: Rex et al. large tandem trial in 1997
 

6: Data from Healthline: https://www.healthline.com/health/tubular-adenoma

7: Data from ACS: https://www.cancer.org/cancer/colon-rectal-cancer/about/key-statistics.html