• Title/Summary/Keyword: Medical AI

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AC Servo System Design of Digital Radiography Equipment (디지털 방사선 검사장치(DR)의 AC 서보 시스템 설계)

  • Jeong, Sungin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.133-138
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    • 2022
  • Digital radiation inspection equipment is a medical device that deals with human life and requires stability and high reliability. However, this system is currently the most advanced technology and the domestic market is almost occupied by European products including Japan. Therefore, research and development are needed not only to replace domestic medical devices, which are largely dependent on expensive imported products, but also to develop more economical and user-oriented products that are easy to operate and produce devices that lead to accurate diagnosis. In particular, among the digital X-ray systems, the motor driving technology and the mechatronics technology related to the development of mechanical devices have matured to some extent in Korea. In this paper, selection of AC servomotor for digital radiation inspection suitable for imaging purpose, and application of conversion device and control method to check performance and improve problems.

Prognostic Value of Artificial Intelligence-Driven, Computed Tomography-Based, Volumetric Assessment of the Volume and Density of Muscle in Patients With Colon Cancer

  • Minsung Kim;Sang Min Lee;Il Tae Son;Taeyong Park;Bo Young Oh
    • Korean Journal of Radiology
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    • v.24 no.9
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    • pp.849-859
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    • 2023
  • Objective: The prognostic value of the volume and density of skeletal muscles in the abdominal waist of patients with colon cancer remains unclear. This study aimed to investigate the association between the automated computed tomography (CT)-based volume and density of the muscle in the abdominal waist and survival outcomes in patients with colon cancer. Materials and Methods: We retrospectively evaluated 474 patients with colon cancer who underwent surgery with curative intent between January 2010 and October 2017. Volumetric skeletal muscle index and muscular density were measured at the abdominal waist using artificial intelligence (AI)-based volumetric segmentation of body composition on preoperative pre-contrast CT images. Patients were grouped based on their skeletal muscle index (sarcopenia vs. not) and muscular density (myosteatosis vs. not) values and combinations (normal, sarcopenia alone, myosteatosis alone, and combined sarcopenia and myosteatosis). Postsurgical disease-free survival (DFS) and overall survival (OS) were analyzed using univariable and multivariable analyses, including multivariable Cox proportional hazard regression. Results: Univariable analysis showed that DFS and OS were significantly worse for the sarcopenia group than for the non-sarcopenia group (P = 0.044 and P = 0.003, respectively, by log-rank test) and for the myosteatosis group than for the non-myosteatosis group (P < 0.001 by log-rank test for all). In the multivariable analysis, the myosteatotic muscle type was associated with worse DFS (adjusted hazard ratio [aHR], 1.89 [95% confidence interval, 1.25-2.86]; P = 0.003) and OS (aHR, 1.90 [95% confidence interval, 1.84-3.04]; P = 0.008) than the normal muscle type. The combined muscle type showed worse OS than the normal muscle type (aHR, 1.95 [95% confidence interval, 1.08-3.54]; P = 0.027). Conclusion: Preoperative volumetric sarcopenia and myosteatosis, automatically assessed from pre-contrast CT scans using AI-based software, adversely affect survival outcomes in patients with colon cancer.

A Clinical Investigation in Primary Male Infertility During Recent 5 Years (최근 5년간 원발성 남성불임증 환자의 임상적 분석)

  • Kim, Tae-Hyoung;Kim, Kyung-Do;Kim, Sae-Chul
    • Clinical and Experimental Reproductive Medicine
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    • v.21 no.3
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    • pp.253-259
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    • 1994
  • A clinical investigation was undertaken on primary male infertility patients of recent 5 years. The results obtained were as follow: 1. Suspective etiologic factors were: 1) testicular failure, 36.1 %; 2) varicocele, 18.7%; 3) endocrine abnormality, 13.5%; 4) obstruction, 13.5%; 5) idiopathic, 10.9%; 6) cryptorchidism, 2.6%; 7) necrospermia, 0.9%. 2. On semen analyses, azoospermia was found in 55.8%, single abnormal parameter in 21.5 %, and multiple/all abnormal parameter in 22.7% of the 163 cases. 3. For the evaluation of the sensitivity and specificity of noninvasive variables in predict in obstruction as the cause of azoospermia in patient who had undergone testicular biopsy, the testicular size and serum follicle-stimulating hormone(FSH) level revealed 100% of sensitivity. 4. Among the 43 patients with a testicular biopsy confirmed diagnosis there was a significant difference in testicular size, ejaculate volume(p<0.0001) and serum FSH(p<0.0001) between patients with testicular failure and those with ductal obstruction. 5. Of 93 treated patients with primary male infertility, 42 were managed by medical treatment including endocrine treament, retrograde ejaculation treatment, infection treatment and observation; 29 were managed by surgical treatment including varicocelectomy, vasovasostomy, vasoepididymostomy and TUR of ejaculatory duct; 20 were managed by sperm preparation treatment including artificial insemination(AI), electroejaculation plus AI and vibration ejaculation plus AI ; 2 were managed by microscopic epididymal sperm aspiration plus IVF, repectively. 6. 42 patients who could be followed-up, 21 patients(50%) impregnated their wives.

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Screening of Natural Antioxidant from Plant and Their Antioxidative Effect (식물성 천연 항산화물질의 검색과 그 항산화력 비교)

  • Choi, Ung;Shin, Dong-Hwa;Chang, Young-Sang;Shin, Jae-Ik
    • Korean Journal of Food Science and Technology
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    • v.24 no.2
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    • pp.142-148
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    • 1992
  • Certain parts of 95 species of edible and medical plants were extracted with water and 75% of ethyl alcohol. After addition of those extracts to palm oil, lard and soybean oil at different level, their antioxidative activities were compared by Rancimat test. Six species among them seemed to have rather strong antioxidative activity and high extracting yields(i.e. Taraxacum platycarpum, Plantago asiatica, Rhus javanica L., Lycopus lucidus, Astragalus membranaceus, Taraxacum platycarpumH). Among them, the Rhus javanica L. ethanol extract retarded greatly the induction period of palm oil and lard. When 600 ppm of Rhus javanica L. extract were added to palm oil and lard, AI(antioxidant index was expressed as induction period of oil containing various plant extracts/induction period of control oil) of each was 1.35 and 3.03 respectively. This result indicated that the Rhus javanica L. extract was more effective on lard than the other oils.

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Development of Medical Image Quality Assessment Tool Based on Chest X-ray (흉부 X-ray 기반 의료영상 품질평가 보조 도구 개발)

  • Gi-Hyeon Nam;Dong-Yeon Yoo;Yang-Gon Kim;Joo-Sung Sun;Jung-Won Lee
    • KIPS Transactions on Software and Data Engineering
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    • v.12 no.6
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    • pp.243-250
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    • 2023
  • Chest X-ray is radiological examination for xeamining the lungs and haert, and is particularly widely used for diagnosing lung disease. Since the quality of these chest X-rays can affect the doctor's diagnosis, the process of evaluating the quality must necessarily go through. This process can involve the subjectivity of radiologists and is manual, so it takes a lot of time and csot. Therefore, in this paper, based on the chest X-ray quality assessment guidelines used in clinical settings, we propose a tool that automates the five quality assessments of artificial shadow, coverage, patient posture, inspiratory level, and permeability. The proposed tool reduces the time and cost required for quality judgment, and can be further utilized in the pre-processing process of selecting high-quality learning data for the development of a learning model for diagnosing chest lesions.

Mobile App for Detecting Canine Skin Diseases Using U-Net Image Segmentation (U-Net 기반 이미지 분할 및 병변 영역 식별을 활용한 반려견 피부질환 검출 모바일 앱)

  • Bo Kyeong Kim;Jae Yeon Byun;Kyung-Ae Cha
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.4
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    • pp.25-34
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    • 2024
  • This paper presents the development of a mobile application that detects and identifies canine skin diseases by training a deep learning-based U-Net model to infer the presence and location of skin lesions from images. U-Net, primarily used in medical imaging for image segmentation, is effective in distinguishing specific regions of an image in a polygonal form, making it suitable for identifying lesion areas in dogs. In this study, six major canine skin diseases were defined as classes, and the U-Net model was trained to differentiate among them. The model was then implemented in a mobile app, allowing users to perform lesion analysis and prediction through simple camera shots, with the results provided directly to the user. This enables pet owners to monitor the health of their pets and obtain information that aids in early diagnosis. By providing a quick and accurate diagnostic tool for pet health management through deep learning, this study emphasizes the significance of developing an easily accessible service for home use.

TGF-β1 Protein Expression in Non-Small Cell Lung Cancers is Correlated with Prognosis

  • Huang, Ai-Li;Liu, Shu-Guang;Qi, Wen-Juan;Zhao, Yun-Fei;Li, Yu-Mei;Lei, Bin;Sheng, Wen-Jie;Shen, Hong
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.19
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    • pp.8143-8147
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    • 2014
  • To investigate the expression intensity and prognostic significance of TGF-${\beta}1$ protein in non-small cell lung cancer (NSCLC), immunohistochemistry was carried out in 194 cases of NSCLC and 24 cases of normal lung tissues by SP methods. The PU (positive unit) value was used to assess the TGF-${\beta}1$ protein expression in systematically selected fields under the microscope with Leica Q500MC image analysis. We found that the TGF-${\beta}1$ PU value was nearly two-fold higher in NSCLC than in normal lung tissues (p=0.000), being associated with TNM stages (p=0.000) and lymph node metastases (p=0.000), but not to patient age, gender, smoking history, tumor differentiation, histological subtype and tumor location (P>0.05). Univariate analysis indicated that patients with high TGF-${\beta}1$ protein expression and lymph node metastases demonstrated a poor prognosis (both p=0.000,). Multivariate analysis showed that TGF-${\beta}1$ protein expression (RR = 2.565, p=0.002) and lymph node metastases (RR=1.874, p=0.030) were also independent prognostic factors. Thus, TGF-${\beta}1$ protein expression may be correlated to oncogenesis and serve as an independent prognostic biomarker for NSCLC.

Rapid functional screening of effective siRNAs against Plk1 and its growth inhibitory effects in laryngeal carcinoma cells

  • Lan, Huan;Zhu, Jiang;Ai, Qing;Yang, Zhengmei;Ji, Ying;Hong, Suling;Song, Fangzhou;Bu, Youquan
    • BMB Reports
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    • v.43 no.12
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    • pp.818-823
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    • 2010
  • Plk 1 is overexpressed in many human malignancies including laryngeal carcinoma. However, its therapeutic potential has been never examined in laryngeal carcinoma. In the present study, a simple cellular morphology-based strategy was firstly proposed for rapidly screening the effective siRNAs against Plk1. Furthermore, we investigated the effects of Plk1 depletion via a novel identified effective siRNA against Plk1, Plk1 siRNA-607, on human laryngeal carcinoma Hep-2 cells. The results indicated that Plk1 siRNA-607 transfection resulted in a significant inhibition in Plk1 expression in cells, and subsequently caused a dramatic mitotic cell cycle arrest followed by massive apoptotic cell death, and eventually resulted in a significant decrease in growth and viability of the laryngeal carcinoma cells. Taken together, our present study not only suggests a simple strategy for rapidly screening effective siRNAs against Plk1 but also implicates that Plk1 may serve as a potential therapeutic target in human laryngeal carcinoma.

A Comparative Study on the Optimal Model for abnormal Detection event of Heart Rate Time Series Data Based on the Correlation between PPG and ECG (PPG와 ECG의 상관 관계에 기반한 심박 시계열 데이터 이상 상황 탐지 최적 모델 비교 연구)

  • Kim, Jin-soo;Lee, Kang-yoon
    • Journal of Internet Computing and Services
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    • v.20 no.6
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    • pp.137-142
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    • 2019
  • This paper Various services exist to detect and monitor abnormal event. However, most services focus on fires and gas leaks. so It is impossible to prevent and respond to emergency situations for the elderly and severely disabled people living alone. In this study, AI model is designed and compared to detect abnormal event of heart rate signal which is considered to be the most important among various bio signals. Specifically, electrocardiogram (ECG) data is collected using Physionet's MIT-BIH Arrhythmia Database, an open medical data. The collected data is transformed in different ways. We then compare the trained AI model with the modified and ECG data.

A Study on the Design Qualification of an Isolation Hospital According to Circulation System (동선계획에 따른 격리병동의 설계검증에 관한 연구)

  • Park, Hyun-Jin;Jung, Chung-Soo;Hong, Jin-Kwan
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.23 no.7
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    • pp.520-527
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    • 2011
  • Recently, Influenza(AI, PI) patients have been increasing rapidly. But, there is a lack of isolation hospitals. In particular, according to increase the rate of patients with airborne infection, in order to prevent the spread of pathogens, design of layout plan and air conditioning system of isolation hospitals becomes more important to maintain patient's room as negative pressure. In this study, the spread of pathogens are analyzed as room differential pressure, moving time of medical staff and patients, and moving way in isolation hospitals by multizone simulation; CONTAM 2.4. Through the analysis, the ways to improve isolation hospital considered at the design step are reached to prevent the spread of pathogens effectively. Also, it verifies that HVAC system for isolation hospital is suitably designed as standard.