Welcome to CAMS 2023

International Conference on Clinical and Medical Sciences (CAMS 2023)

October 07 ~ 08, 2023, Virtual Conference

Accepted Papers
Discussion About Idiopathic Pulmonary Fibrosisbased on the Theory of "the Lung Governing Regulation of Water Passages

YANG Yutao1, MA Zhanping1, 2, 1Shaanxi University ofChinese Medicine,Xianyang,Shaanxi,China,712046, 2Shaanxi Provincial Hospital of Traditional Chinese Medicine,Xi’an,Shaanxi,China,710003


Idiopathic pulmonary fibrosis has been one of refractory diseases of the lungs。It's should be attributed to the category of Feiwei and Feibi in TCM.The lunggoverning regulation of water passages is one of the physiological function of lung.The lung can dredge,regulate and transporate the body fluid,then nourishing the body。Based on the theory of "the lung governing regulation of water passages",the article points out that the main location of idiopathic pulmonary fibrosis is in lung and often relate to spleen and kidney,and the etiology and pathogenesis of idiopathic pulmonary fibrosis have some connection with qi,phlegm turbidity and blood stasis.In clinical practice,canbe based on the dispersing and descending functions,regulating water passages,adjusting the water distribution, restoring the body's dynamic balance. It provides a new idea and method to treat IPF withtraditional Chinese medicine.


The lung governing regulation of water passages; Metabolism of body fluid;idiopathic pulmonary fibrosis;Feiwei;Feibi.

Yoga Anatomy Workshop as an Experiential Learning Tool for the Yoga Practitioners

Mrithunjay Rathore, Pragna Domadia, Mukta Consul, Departments of Anatomy AIIMS Raipur, Chhattisgarh, India


Integrating Anatomy into Yoga Practice: Experiential Learning Workshop This study presents a two-day yoga anatomy workshop employing the VARK model to offer experiential learning tools for yoga practitioners. They are hosted at AIIMS Raipur, the workshop aimed to deepen participants' understanding of yoga anatomy. Guided by instructors, attendees engaged in specific standing postures, gaining firsthand experience of muscle movements and limitations while exploring associated anatomical aspects. The workshop covered essential standing and balancing poses like Triangle, Chair, Warrior one, two and three poses, King of Dance, Extended Hand to Big Toe, Half-Moon, Tree, and. This paper discussed two standing poses, the Triangle pose and the Chair pose. Discussions focused on posture assessment, muscle engagement, breath awareness during asanas, and the anatomical impact of yoga and gravity. The study unveiled anatomical insights for eight asanas, including techniques like one-legged stances and outward-angle postures. The workshop emphasized common limitations in standing and balancing asanas, offering corrective measures for alignment. Anatomical perspectives encompassing alignment, muscle engagement, and movement patterns were thoroughly explored, enhancing practitioners' comprehension. Participants excelled in three-point balance poses but faced challenges in others, attributed to upper body strength, stability, and flexibility. Anatomical variations influenced muscle movement and flexibility, with observations revealing neck, shoulder, hip, and spinal alignment limitations. Ultimately, the workshop highlighted the importance of infusing anatomical knowledge into yoga practice. Attendees gained insights into their body's constraints, improving technique and reducing injury risk, while instructors gained tools for safer guidance. This study underscores the value of merging yoga and anatomical awareness for a holistic approach to practice.


yoga anatomy, standing, asana analysis.

Comparative Study of Artificial Intelligence Detection Technology From Exception Ischemic Stroke Requiring Medical Help Imaging

Sada Anne and Amadou Dahirou Gueye, Department of Information and Communication Technology, Alioune Diop University, Bambey, SENEGAL


Artificial intelligence is revolutionizing the interpretation of medical images, helping healthcare professionals save time on magnetic scans, CT scans and X-rays. Stroke is a global health problem, and ischemic stroke is one of the leading causes of death and disability in humans. The symptoms of an ischemic stroke appear suddenly and worsen within minutes, as most ischemic strokes appear suddenly, develop rapidly and result in the death of brain tissue within minutes or hours. This is why early detection of stroke is essential and remains a challenge for neurophysicists. Neurophysicists routinely use a variety of detection techniques to detect, assess and evaluate the ex-tent of premature ischemic changes in acute stroke brain imaging. Although several effective techniques exist, these methods have limitations due to unenhanced CT scans and invasive techniques. This study aims to demonstrate the limitations of certain detection methods by comparing the performance of automated and human brains in stroke detection and assessment through a literature review of recent studies. This article highlights comparative studies of different artificial intelligence (AI) techniques using medical imaging and allows the authors to orient themselves within these comparative studies, thus projecting themselves into the challenges facing artificial intelligence.


Artificial Intelligence, Medical Imaging, MRI, CT-scan, Ischemic Stroke.