• Title/Summary/Keyword: Non-face-to-face treatment

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Granuloma Formation, a Rare Complication after PDO Threads Lifting, and Adjuvant Treatment Using Dual-Frequency Ultrasound (LDM®-MED)

  • Hong, Seok Won;Park, Eun Soo
    • Medical Lasers
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    • v.8 no.1
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    • pp.35-38
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    • 2019
  • Thread-lifting is a minimally invasive procedure that shows good results and fewer complications as compared with those results and complications of standard surgery. Many procedures and techniques have been developed to create a younger appearance of facial/neck skin for aging people, and the demand for an improved aesthetic appearance is increasing. Since the incidence of side effects is much less than that of non-absorbable threads, which can lead to complications such as foreign body reactions, polydioxanone (PDO) threads are predominantly used for face lift procedures. A 66-year-old woman presented to our clinic with inflamed palpable masses. She had undergone a face lift with absorbable threads in our clinic 5 months previously. Excisional biopsy was performed with the patient under local anesthesia. During the operation, any threads were not detected and there was both fibrotic scar tissue and granulomatous tissue. For effectively promoting healing and managing the scars, treatment with LDM®-MED was performed on the day after surgery. The treatment was performed according to the author's protocol. Although foreign body granuloma as a complication after using non-absorbable thread types have been previously reported, it is relatively rare to find this type of complication after using absorbable thread. In this report, we present a case in which a 66-year-old female with foreign body granuloma after undergoing a face lift using absorbable threads was treated with the application of dual-frequency ultrasound, which promoted wound healing.

A clinical study on the relation between facial paralysis and acupoints on the face and the upper limbs by the use of DITI diagnosis (적외선 체열진단을 이용한 안면마비와 안면과 상지에 분포한 경혈위와의 관계에 대한 임상고찰)

  • Kim, Jin-Won;Jeong, Byeong-Ju;Kim, Yong-Ho;Seo, Ho-Seok;Hwang, Gyu-Dong;Son, Ji-Hyung;Han, Seung-Hea
    • The Journal of Internal Korean Medicine
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    • v.25 no.4
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    • pp.140-146
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    • 2004
  • Objectives : this study is to see if there is a significance in thermal differences of acupoints in diagnosis and treatment period of facial paralysis and to substantiate the validity of acupuncture and moxibustion treatment for it. Methods : 1. By using DITI, thermal differences of acupoints on the face and the upper limbs of 13 Bell's palsy patients were measured around 3 days after an attack of the disease. These 13 patients, whose treatment progress was monitored up to 6 months after attack, were among the inpatients and outpatients of oriental internal medicine of National Medical Center from July 1 to August 31. 2. The patients were divided into 1month, 2-3months, 4months, 6months groups according to the occasion of improvement and thermal averages of each treatment period measured. Results : When it takes within 1 month for the condition of facial paralysis to change for the better, DITI image shows the temperature of the affected face parts and arms is higher than that of the non-affected parts. However, when it takes more than 4 months, the temperature of the affected face parts and arms on DITI image is lower than that of the non-affected parts. Conclusions : Hereby, prognosis of the disease and necessary time for the treatment can be presumed through DITI screening after an occurrence of facial paralysis. Also, condition of the disease is reflected by thermal differences of acupoints for Bell's palsy treatment that are in accordance with the theory of meridian on the face. This supports the efficacy of acupuncture and moxibustion treatment for this disease.

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The Recent Trends in Telemedicine in the era of COVID-19 and Policy Recommendations for the Balanced growth of Healthcare Service Industry in Korea (COVID-19 시대 국내외 원격의료 동향과 의료서비스산업의 균형 성장을 위한 정책 제언)

  • Lee, Jaehee
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.591-598
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    • 2020
  • Since COVID-19's 1st pandemic came in February 2020, the demand for telemedicine grew greatly that in most countries the deregulation for telemedicine policy have been implemented in more countries. Also in Korea, with the name of 'Non-face-to-face Treatment' telemedicine began to be approved. Telemedicine having strength in chronic disease management has been effective in more and more specialties along with the recent development of ICT that it is expected to contribute to the improvement of the quality of healthcare service and creation of new treatment model. On the contrary it may also exacerbate the distortion in the hospital healthcare service industry in Korea, which is the excessive tipping toward large hospitals. So the dual promotion policy approach in which the settlement of family doctors system extensively utilizing telemedicine for chronic disease management and the support for tertiary hospitals and hospitals focusing on treating foreign patients to provide quality service using telemedicine technology are pursued simultaneously are recommended.

Development of a Recognition System of Smile Facial Expression for Smile Treatment Training (웃음 치료 훈련을 위한 웃음 표정 인식 시스템 개발)

  • Li, Yu-Jie;Kang, Sun-Kyung;Kim, Young-Un;Jung, Sung-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.4
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    • pp.47-55
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    • 2010
  • In this paper, we proposed a recognition system of smile facial expression for smile treatment training. The proposed system detects face candidate regions by using Haar-like features from camera images. After that, it verifies if the detected face candidate region is a face or non-face by using SVM(Support Vector Machine) classification. For the detected face image, it applies illumination normalization based on histogram matching in order to minimize the effect of illumination change. In the facial expression recognition step, it computes facial feature vector by using PCA(Principal Component Analysis) and recognizes smile expression by using a multilayer perceptron artificial network. The proposed system let the user train smile expression by recognizing the user's smile expression in real-time and displaying the amount of smile expression. Experimental result show that the proposed system improve the correct recognition rate by using face region verification based on SVM and using illumination normalization based on histogram matching.

A Study on the Consumer Disputes and Protection Measures of the Digital Healthcare Market and O2O Service (디지털헬스케어 시장과 O2O서비스 소비자분쟁 및 보호방안)

  • Byeon, Seung Hyeok
    • Journal of Arbitration Studies
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    • v.30 no.4
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    • pp.121-138
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    • 2020
  • The O2O services in the healthcare sector have only been in full swing for about three years, and unlike existing O2O consumer goods, the scale and scope of the dispute are more complicated due to restrictions on medical treatment. In this study, O2O service platform operators and medical institutions' roles and responsibilities were redefined as a countermeasure for resolving disputes in healthcare O2O services and the laws for changing the transaction environment. A change in institutional mechanisms was proposed. This study looked at the types of consumer disputes related to healthcare O2O services as insufficient information problems, problems in the course of medical service implementation, problems with immunity provisions for platform operators, cancellations, and non-compliance with refunds. All the information generated during transactions in the healthcare sector was extensive in scale and included the most sensitive information among personal information, stressing the importance of ensuring security. The area that started in the O2O range before the medical institution visit also proposed a plan to establish a system for the delivery of proven information as a pre-medical person. The scale and growth will grow faster, given that consumers can experience the information they want anytime, anywhere they want. However, the platform broker's role, a link player, will become more important because consumers who use the service will have their first meeting with non-face-to-face product providers. On the other hand, service providers may have side effects of misleading consumers by providing false information or misleading consumers through exaggerated advertisements. The O2O service market is expected to expand beyond distribution and dining out to the entire industry. However, since it is challenging to check accurate statistics on the detailed market, various disputes and consumer protection measures will be required for each detailed market, and comprehensive leading solutions will be essential in the future.

A Comparative Study of University Student's Self-Esteem According to General Characteristics and Orthodontic Treatment (대학생의 일반적 특성 및 교정치료에 따른 자존감 비교연구 - 대구, 경북지역 대학생을 중심으로 -)

  • Kim, Hong-Sik;Song, Jae-Sang;Lim, Byung-Chul
    • Journal of Technologic Dentistry
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    • v.34 no.4
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    • pp.381-390
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    • 2012
  • Purpose: The goal of this study is to investigate the correlation of orthodontic treatment with self-esteem and how orthodontic treatment has an effect on university student's self-esteems by investigating and analyzing the difference in self-esteem of each general characteristic and the difference in self-esteem according to the existence or nonexistence of malocclusion and orthodontic treatment for adult university students. Methods: This study conduced a survey for 420 university students including dental related department, department of health and department of non-dental health in two universities located in Taegu, Gyeongbuk-do province from May 15, 2012 to May 30, 2012, and in 420 questionnaires of the investigated 420 target students, total 400(95.2%) questionnaires except for the questionnaires with falsely or erroneous responses were used for study analysis. Results: In the relations of general characteristic with self-esteem, for self-esteem by each gender, male student showed higher, for self-esteem by residential area, the university student residing at metropolitan area showed higher, for self-esteem by financial status, high class and middle class students in home financial status showed higher, for self-esteem by face shape, the student with triangular face shape showed higher, and in the relation of self-esteem with orthodontic treatment, the university student who is getting orthodontic treatment showed higher self-esteem statistically significantly. Conclusion: For gender, male university student, for residential area, the university student residing at metropolitan area, the high class university student in financial status, the university student with triangular face shape, and the university student who is getting orthodontic treatment showed statistically significantly higher self-esteem.

Design and Implementation of Reception Systems for Non-Face-To-Face Medical Services (비대면 의료 서비스를 위한 접수시스템 설계 및 구현)

  • Baek, Yu-Jin;Lee, Hyo-Seung;Oh, Jae-Chul
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.975-980
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    • 2021
  • As technology utilizing low-power short-range wireless communication is applied in conjunction with medical information as a development of the fourth industrial revolution, interest in medical information is increasing. As the age group of smart devices increases and becomes more common, related research such as linking mobile devices with various objects and equipment is continuously being conducted. In addition, interest in untact (non-face-to-face) is increasing due to the prevalence of Coronavirus Disease-19 (COVID-19), including various infectious diseases. As a result, it is a state that requires distance not only in social but also in life. In this study, using a low-power near-field wireless communication technology of beacons to create an IoT device by communicating with the web server of the medical information system was studied to make it easier to receive medical treatment during visits to medical institutions.

Analysis of the Status of Artificial Medical Intelligence Technology Based on Big Data

  • KIM, Kyung-A;CHUNG, Myung-Ae
    • Korean Journal of Artificial Intelligence
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    • v.10 no.2
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    • pp.13-18
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    • 2022
  • The role of artificial medical intelligence through medical big data has been focused on data-based medical device business and medical service technology development in the field of diagnostic examination of the patient's current condition, clinical decision support, and patient monitoring and management. Recently, with the 4th Industrial Revolution, the medical field changed the medical treatment paradigm from the method of treatment based on the knowledge and experience of doctors in the past to the form of receiving the help of high-precision medical intelligence based on medical data. In addition, due to the spread of non-face-to-face treatment due to the COVID-19 pandemic, it is expected that the era of telemedicine, in which patients will be treated by doctors at home rather than hospitals, will soon come. It can be said that artificial medical intelligence plays a big role at the center of this paradigm shift in prevention-centered treatment rather than treatment. Based on big data, this paper analyzes the current status of artificial intelligence technology for chronic disease patients, market trends, and domestic and foreign company trends to predict the expected effect and future development direction of artificial intelligence technology for chronic disease patients. In addition, it is intended to present the necessity of developing digital therapeutics that can provide various medical services to chronically ill patients and serve as medical support to clinicians.

Subsequent Treatment Choices for Patients with Acquired Resistance to EGFR-TKIs in Non-small Cell Lung Cancer: Restore after a Drug Holiday or Switch to another EGFR-TKI?

  • Song, Tao;Yu, Wei;Wu, Shi-Xiu
    • Asian Pacific Journal of Cancer Prevention
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    • v.15 no.1
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    • pp.205-213
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    • 2014
  • The outcomes of first-generation EGFR-TKIs (Gefitnib and Erlotinib) have shown great advantages over traditional treatment strategies in patients with non-small cell lung cancer (NSCLC), but unfortunately we have to face the situation that most patients still fail to respond in the long term despite initially good control. Up to now, the mechanism of acquired resistance to EGFR-TKIs has not been fully clarified. Herein, we sought to compile the available clinical reports in the hope to better understanding the subsequent treatment choices, particularly on whether restoring after a drug holiday or switching to another EGFR-TKI is the better option after failure of one kind of EGFR-TKI.

Evolution of the Stethoscope: Advances with the Adoption of Machine Learning and Development of Wearable Devices

  • Yoonjoo Kim;YunKyong Hyon;Seong-Dae Woo;Sunju Lee;Song-I Lee;Taeyoung Ha;Chaeuk Chung
    • Tuberculosis and Respiratory Diseases
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    • v.86 no.4
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    • pp.251-263
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    • 2023
  • The stethoscope has long been used for the examination of patients, but the importance of auscultation has declined due to its several limitations and the development of other diagnostic tools. However, auscultation is still recognized as a primary diagnostic device because it is non-invasive and provides valuable information in real-time. To supplement the limitations of existing stethoscopes, digital stethoscopes with machine learning (ML) algorithms have been developed. Thus, now we can record and share respiratory sounds and artificial intelligence (AI)-assisted auscultation using ML algorithms distinguishes the type of sounds. Recently, the demands for remote care and non-face-to-face treatment diseases requiring isolation such as coronavirus disease 2019 (COVID-19) infection increased. To address these problems, wireless and wearable stethoscopes are being developed with the advances in battery technology and integrated sensors. This review provides the history of the stethoscope and classification of respiratory sounds, describes ML algorithms, and introduces new auscultation methods based on AI-assisted analysis and wireless or wearable stethoscopes.