Exploring the pivotal variables of tongue diagnosis between patients with acute ischemic stroke and health participants

Huang, Y. S.; Wu, Heng-Hsiung; Chang, Hen‐Hong; Lee, Tsung-Chieh; Huang, Sung-Yen; Chiang, John Y.; Hsu, Po-Chi; Lo, Lun-Chien

doi:10.1016/j.jtcme.2022.04.001

Cited by 4 publications

(5 citation statements)

References 41 publications

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“…For example, a purple or bluish tongue may indicate poor circulation, while a pale or yellowish complexion may signal an imbalance in the body’s Qi and blood. 49 , 50 These findings reiterate the potential of tongue diagnosis, indicating it could be a powerful tool for detecting early warning signs of cardiovascular disease and preventing stroke. Additionally, the study highlights the importance of integrating TCM tongue diagnosis into conventional diagnostic approaches for a more comprehensive assessment of cardiovascular health.…”

Section: Understanding the Causes And Symptoms Of Cardiovascular Dise...mentioning

confidence: 64%

Acupuncture in Traditional Chinese Medicine: A Complementary Approach for Cardiovascular Health

Wang,

Fang,

Huang

et al. 2024

JMDH

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Cardiovascular diseases (CVDs) are increasingly prevalent in clinical settings. With the continuous improvement of people’s living standards, the gradual acceleration of the pace of life, and the deterioration of the living environment in recent years, the incidence of CVDs is increasing annually. The prevalence of CVDs among individuals aged 50 and above is notably elevated, posing a significant risk to patients’ well-being and lives. At this juncture, numerous clinical treatment choices are available for managing CVDs, with traditional Chinese medicine (TCM) therapy standing out as a practical, safe, and reliable option. Over the recent years, there has been growing acknowledgement among both medical professionals and patients. With the expanding integration of TCM in the treatment of various clinical conditions, the use of TCM in managing CVDs has gained significant attention within the medical community, potentially emerging as an efficacious approach for addressing cardiovascular diseases. This article conducts a comprehensive review of the TCM approach, particularly acupuncture, as a supplementary treatment for CVDs, highlighting its ability to effectively lower blood pressure, decrease coronary artery events, mitigate arrhythmias, and enhance cardiac function when used alongside conventional medication. The review underscores the promise of acupuncture in enhancing cardiovascular health, although variations in research methodologies necessitate standardized applications.

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Section: Understanding the Causes And Symptoms Of Cardiovascular Dise...mentioning

confidence: 64%

Acupuncture in Traditional Chinese Medicine: A Complementary Approach for Cardiovascular Health

Wang,

Fang,

Huang

et al. 2024

JMDH

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“…PA = (TP + TN) (TP + TN + FP + FN) (12) The proposed S5Utis model was compared with the popular segmentation algorithms listed above. The cross-entropy loss function, abbreviated as CE, was used for all the models, including the proposed S5Utis model.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

“…Considering the easy accessibility of smartphones and the simplicity and ease of using mobile phone cameras to collect physiological information, using smartphone cameras for intelligent tongue diagnosis in traditional Chinese medicine is a very valuable research topic. During the COVID-19 pandemic, tongue diagnosis became an effective method to assist diagnosis [11][12][13][14]. When it is inconvenient for people to go to the hospital for medical examinations, remote tongue diagnosis using smartphones can become a very effective supplementary medical method.…”

Section: Introductionmentioning

confidence: 99%

S5Utis: Structured State-Space Sequence SegNeXt UNet-like Tongue Image Segmentation in Traditional Chinese Medicine

Song,

Zhang,

Shi

et al. 2024

Sensors

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Intelligent Traditional Chinese Medicine can provide people with a convenient way to participate in daily health care. The ease of acceptance of Traditional Chinese Medicine is also a major advantage in promoting health management. In Traditional Chinese Medicine, tongue imaging is an important step in the examination process. The segmentation and processing of the tongue image directly affects the results of intelligent Traditional Chinese Medicine diagnosis. As intelligent Traditional Chinese Medicine continues to develop, remote diagnosis and patient participation will play important roles. Smartphone sensor cameras can provide irreplaceable data collection capabilities in enhancing interaction in smart Traditional Chinese Medicine. However, these factors lead to differences in the size and quality of the captured images due to factors such as differences in shooting equipment, professionalism of the photographer, and the subject’s cooperation. Most current tongue image segmentation algorithms are based on data collected by professional tongue diagnosis instruments in standard environments, and are not able to demonstrate the tongue image segmentation effect in complex environments. Therefore, we propose a segmentation algorithm for tongue images collected in complex multi-device and multi-user environments. We use convolutional attention and extend state space models to the 2D environment in the encoder. Then, cross-layer connection fusion is used in the decoder part to fuse shallow texture and deep semantic features. Through segmentation experiments on tongue image datasets collected by patients and doctors in real-world settings, our algorithm significantly improves segmentation performance and accuracy.

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“…Coupled with some classifiers, they found that these features would improve the accuracy in diagnosing nonalcoholic fatty liver disease (NAFLD). Huang et al 6 have studied different variables on tongue images between patients with acute ischemic stroke and health participants, and they have found that pale tongue color, bluish tongue color, ecchymoses, and tongue deviation angle were associated with significantly increased odds ratios for acute ischemic stroke through multiple LR analysis. Ning et al 92 employed a specially designed evaluation algorithm, balanced evolutionary semi-stacking (BESS) to simultaneously enhance balanced bagging and cotraining procedures when detecting diabetes mellitus, chronic kidney disease (CKD), breast cancer, and chronic gastritis and studied the tongue image classification performance of diseases of different machine learning methods.…”

Section: Tongue Image For Disease Diagnosismentioning

confidence: 99%

“…Nowadays, tongue diagnosis can even be used for disease prediction or disease stage estimation. 4 – 6 In this point, as the only noninvasive method to explore organs in vivo, its diagnosis value has long been underestimated by modern medicine. Studying the classification or quantification of tongue images will not only help promote the modernization of TCM but also help to reveal the pathological basis behind the tongue organ.…”

Section: Introductionmentioning

confidence: 99%

A survey of artificial intelligence in tongue image for disease diagnosis and syndrome differentiation

Liu

Peng

et al. 2023

DIGITAL HEALTH

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The rapid development of artificial intelligence technology has gradually extended from the general field to all walks of life, and intelligent tongue diagnosis is the product of a miraculous connection between this new discipline and traditional disciplines. We reviewed the deep learning methods and machine learning applied in tongue image analysis that have been studied in the last 5 years, focusing on tongue image calibration, detection, segmentation, and classification of diseases, syndromes, and symptoms/signs. Introducing technical evolutions or emerging technologies were applied in tongue image analysis; as we have noticed, attention mechanism, multiscale features, and prior knowledge were successfully applied in it, and we emphasized the value of combining deep learning with traditional methods. We also pointed out two major problems concerned with data set construction and the low reliability of performance evaluation that exist in this field based on the basic essence of tongue diagnosis in traditional Chinese medicine. Finally, a perspective on the future of intelligent tongue diagnosis was presented; we believe that the self-supervised method, multimodal information fusion, and the study of tongue pathology will have great research significance.

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Exploring the pivotal variables of tongue diagnosis between patients with acute ischemic stroke and health participants

Cited by 4 publications

References 41 publications

Acupuncture in Traditional Chinese Medicine: A Complementary Approach for Cardiovascular Health

Acupuncture in Traditional Chinese Medicine: A Complementary Approach for Cardiovascular Health

S5Utis: Structured State-Space Sequence SegNeXt UNet-like Tongue Image Segmentation in Traditional Chinese Medicine

A survey of artificial intelligence in tongue image for disease diagnosis and syndrome differentiation

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