R&D

  • ECHO dot AI / Development and Validation of a CNN-Based Diagnostic Pipeline for the Diagnosis of Otitis Media

    Hee Won Seo1, Dong Woo Ko2, Jaehoon Oh3, Juncheol Lee3, Yong Bae Ji1, Sang-Yoon Han1, Byeong In Moon2, Jae Hoon Jeong2 and Jae Ho Chung1,*

  • URO dot AI / Kidney, ureter, and urinary bladder segmentation based on non-contrast enhanced computed tomography images using modified U-Net

    Dong-Hyun Jang, Juncheol Lee, Young-Jin Jeon, Young Eun Yoon, Hyungwoo Ahn, Bo-Kyeong Kang, Won Seok Choi, Jaehoon Oh & Dong Keon Lee

  • GIGA dot AI / Clinical Decision Support System for All Stages of Gastric Carcinogenesis in Real-Time Endoscopy: Model Establishment and Validation Study

    Eun Jeong Gong1,2,3, Chang Seok Bang1, 2,3, Jae Jun Lee3,4, Hae Min Jeong1, Gwang Ho Baik1, 2, Jae Hoon Jeong5, Sigmund Dick5, Gi Hun Lee5

  • Cerviray / Pivotal Clinical Study to Evaluate the Efficacy and Safety of Assistive Artificial Intelligence-Based Software for Cervical Cancer Diagnosis

    Seongmin Kim1, Hyonggin An2, Hyun-Woong Cho3, Kyung-Jin Min3, Jin-Hwa Hong3, Sanghoon Lee3, Jae-Yun Song3, Jae-Kwan Lee3, Nak-Woo Lee3

  • GIGA dot AI / Deep learning-based clinical decision support system for gastric neoplasms in real-time endoscopy: development and validation study

    Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik, Hyun Lim, Jae Hoon Jeong, Sung Won Choi, Joonhee Cho Deok Yeol Kim, Kang Bin Lee, Seung-Il Shin, Dick Sigmund, Byeong In Moon, Sung Chul Park, Sang Hoon Lee, Ki Bae Bang, Dae-Soon Son

  • SONO dot AI / Classification of carotid plaque vulnerability by neurosurgical residents using ultrasonography in the clinical field

    Doyoung Na1, Junmo Kim1, Kyungmin Chung1, Seunghun Han1, Gihyeok Yun1, Jinseo Yang1, Hyukjai Choi1, Heung Cheol Kim2, Yongjun Cho1, Jin Pyeong Jeon1

  • Cerviray / Role of Artificial Intelligence Interpretation of Colposcopic Images in Cervical Cancer Screening

    Seongmin Kim1, Hwajung Lee2, Sanghoon Lee2, Jae-Yun Song2, Jae-Kwan Lee2 and Nak-Woo Lee2

  • SONO dot AI / Multi-View Convolutional Neural Networks in Rupture Risk Assessment of Small, Unruptured Intracranial Aneurysms

    Jun Hyong Ahn1, Heung Cheol Kim2, Jong Kook Rhim3, Jeong Jin Park4, Dick Sigmund5, Min Chan Park5, Jae Hoon Jeong5 and Jin Pyeong Jeon1,6,*

  • SONO dot AI / Machine Learning Application for Rupture Risk Assessment in Small-Sized Intracranial Aneurysm

    Heung Cheol Kim1, Jong Kook Rhim2, Jun Hyong Ahn3, Jeong Jin Park4, Jong Un Moon5, Eun Pyo Hong6, Mi Ran Kim7, Seung Gyu Kim7, Seong Hwan Lee7 and Jae Hoon Jeong7

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