Journal of Innovative Medical Technology

Research trends on kinematics analysis of surgical robotics using machine learning techniques

Due to the remarkable development of artificial intelligence technology, a lot of efforts are being actively made to utilize it in robotics field. Medical robots are being developed in various types such as serial robots, parallel robots, and continuous robots, taking into account the patient’s anatomy and surgical method. For the precise control, researches are being conducted on accurate kinematic modeling and advanced control algorithms. However, there are limitations in applying traditional numerical approaches to some robots due to their high nonlinearity. Recently, learning-based t...

J Innov Med Technol 2024; 2(1): 1-7

New technology for endoscopic sedation: computer-assisted personalized sedation

The level of sedation required for endoscopic procedures is moderate sedation, which was previously referred to as conscious sedation. This level of sedation allows the patient to maintain their airway independently and respond appropriately to physical stimulation or verbal commands. However, because sedation is a continuous process, it is difficult to predict the patient's response accurately, and the patient may reach a deeper level of sedation than intended. Therefore, various methods have been attempted recently to achieve an appropriate level of sedation. This paper aims to explore compu...

J Innov Med Technol 2024; 2(1): 8-10

Semantic segmentation networks of organs in minimally invasive surgery

Background: Minimally invasive surgery (MIS) and robot-assisted surgery have gained recognition as procedures safer than traditional laparotomy which facilitate faster patient recovery. However, MIS limits the sense of the surgeon. Therefore, a computer-assisted algorithm is proposed to assist in this surgery. With the advent of convolutional neural networks, machine vision technology has become an attractive option. Materials and Methods: We use four networks, TernausNet, TernausResNet, LinkNet, and DeepLab V3+, to predict organ segments in endoscopy images. Furthermore, endoscopy images have...

J Innov Med Technol 2024; 2(1): 11-19

Indocyanine-coated fluorescent clips for localization of gastrointestinal tumors

Background: The innovative use of the fluorescent dye indocyanine green (ICG) represents a significant advancement in surgical oncology. This study aimed to assess the feasibility of ICG-coated clips for enhancing tumor localization during minimally invasive gastrointestinal surgery. Materials and Methods: This study was conducted using female Yucatan miniature pigs, which approximate the human anatomy. Two pigs, each weighing 25–30 kg, underwent simulated gastrointestinal surgery. The ICG-coated clips used were VITTZ clips, which were not yet approved by the Korea Food and Drug Administ...

J Innov Med Technol 2024; 2(1): 20-24

Open-mask respiratory rate sensor

Respiratory rate is a critical vital sign that is highly informative yet often overlooked due to the unavailability of appropriate measuring devices in hospitals. This paper introduces a novel respiratory rate sensor employing an open-mask design, which offers greater comfort and less obstruction compared to traditional covered face masks or mouthpieces. The sensor operates by detecting changes in capacitance caused by the flow of exhaled air and maintains stable measurements even when the user’s head is in motion. Additionally, the sensor can be manufactured for less than 25 US cents, m...

J Innov Med Technol 2024; 2(1): 25-28

Journal of Innovative Medical Technology

Current Issue Volume 2, Number 1, May 2024

Review Article

Research trends on kinematics analysis of surgical robotics using machine learning techniques

Gowoon Jeong, Seong Young Ko

J Innov Med Technol 2024; 2(1): 1-7

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Review Article

New technology for endoscopic sedation: computer-assisted personalized sedation

Yoon Suk Lee

J Innov Med Technol 2024; 2(1): 8-10

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Original Article

Semantic segmentation networks of organs in minimally invasive surgery

Jun-Ha Park, Young Jae Kim, Kwang Gi Kim

J Innov Med Technol 2024; 2(1): 11-19

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Original Article

Indocyanine-coated fluorescent clips for localization of gastrointestinal tumors

Kyonglin Park, Hongrae Kim, Hyoung-Jun Kim, Yongdoo Choi, Sung-Jae Park, Jae-Suk Park, Min-Kyu Choi, Dae Kyung Sohn

J Innov Med Technol 2024; 2(1): 20-24

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Case Report
Open-mask respiratory rate sensor

Sein Song, Jeesun Kim, Han Jo Jeon, Amy Kyungwon Han

J Innov Med Technol 2024; 2(1): 25-28

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Review Article
Endoscopic submucosal dissection hands-on training with artificial mucosal layer EndoGEL

Tae-Se Kim, Jun Haeng Lee

J Innov Med Technol 2023; 1(1): 5-9

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Review Article
Advances and challenges in gastrointestinal endoscopy: a comprehensive review

Sun Gyo Lim

J Innov Med Technol 2023; 1(1): 10-14

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Review Article
The history of evolution of endoscopy

Jeong Seop Moon, Seung Jung Yu, Sam Ryong Jee

J Innov Med Technol 2023; 1(1): 1-4

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Review Article
Advances and challenges in gastrointestinal endoscopy: a comprehensive review

Sun Gyo Lim

J Innov Med Technol 2023; 1(1): 10-14

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Review Article
The history of evolution of endoscopy

Jeong Seop Moon, Seung Jung Yu, Sam Ryong Jee

J Innov Med Technol 2023; 1(1): 1-4

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Original Article
Prospective pilot trial for evaluating the feasibility of an artificial intelligence algorithm for predicting the risk of colorectal adenoma using health screening questionnaire

Kiho You, Jungil Jung, Kyung Su Han, Chang Won Hong, Bun Kim, Byung Chang Kim, Dae Kyung Sohn

J Innov Med Technol 2023; 1(1): 29-37

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Review Article
Endoscopic submucosal dissection hands-on training with artificial mucosal layer EndoGEL

Tae-Se Kim, Jun Haeng Lee

J Innov Med Technol 2023; 1(1): 5-9

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Aims and Scope

Journal of Innovative Medical Technology Journal

As an official publication of the Korean Innovative Medical Technology Society, Journal of Innovative Medical Technology (JIMT) aims to provide the broad and in-depth development of medical innovative technology and clinical application of new development with broad and in-depth biomedical field. JIMT is an open access, peer-reviewed journal for gastroenterologists, surgeons, interventional radiologists, engineers, and technicians. The article must contain original Topics of interest include, but are not limited to research on the development, design, testing, and evaluation of medical technologies and medical devices, or new clinical applications of previously developed medical technologies and devices. JIMT publishes the following types ...

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JIMT

Current Issue Volume 2, Number 1, May 2024

Research trends on kinematics analysis of surgical robotics using machine learning techniques

New technology for endoscopic sedation: computer-assisted personalized sedation

Semantic segmentation networks of organs in minimally invasive surgery

Indocyanine-coated fluorescent clips for localization of gastrointestinal tumors

Ahead of Print

Submit a New Manuscript!

Most Download

Open-mask respiratory rate sensor

Endoscopic submucosal dissection hands-on training with artificial mucosal layer EndoGEL

Advances and challenges in gastrointestinal endoscopy: a comprehensive review

The history of evolution of endoscopy

Advances and challenges in gastrointestinal endoscopy: a comprehensive review

The history of evolution of endoscopy

Prospective pilot trial for evaluating the feasibility of an artificial intelligence algorithm for predicting the risk of colorectal adenoma using health screening questionnaire

Endoscopic submucosal dissection hands-on training with artificial mucosal layer EndoGEL

Aims and Scope

Editorial Office

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JIMT