IJAIR- October 2021 Volume 10 Issue 10 (Sep - Oct 2021)

 

Sr/No/	Title	Pdf
1	A COMPARATIVE CLINICAL STUDY TO EVALUATE THE EFFICACY OF AGNIKARMA WITH GODANTA IN THE MANAGEMENT OF GRIDHRASI W.S.R. TO SCIATICA” Dr. Prajwala Amadihal, Dr. Syeda Ather Fathima, Dr. Shivalingappa. J. Arakeri, Dr. Mohasin Kadegon, Dr.Geetangali Hiremath Abstract: The disorders affecting the Locomotory System are increased in present era, in these diseases Sciatica is considered one among them. No satisfactory conservative management is available in the contemporary science for this, except Analgesics and Steroids. In Ayurveda Gridhrasi [Sciatica] is one of the Rujapradhaana Vatavyadhi.The special feature of Gridhrasi is sakthinikshepana nigraha [restricted lifting of leg], Ruk, Toda, Stambha, and Spandana starts from sphik pradesha and radiates towards the Kati, uru , janu , jangha and pada of the affected side of the leg.which hampers the routine having the Cardinal symptom being radiates pain along the course of the Sciatic nerve. Among the Bahya Chikitsa, Agnikarma is commonly practicing procedure. Agnikarma is indicated in Atya ugra- Ruja condition, requires less duration to perform & gives instant relief. For Agnikarma many Dahanopakarnas are explained like Pippali, Ajashakrut, Godanta, Shara,Shalaka, Jambovastha, Madhu, Gritha and different metals. So here is an attempt to study the efficacy agnikarma with two different dahanopakarana in the treatment of Gridhrasi. Hence to perform Agnikarma procedure with Godanta is taken up for this study and by comparing it with the established study of Agnikarma with Panchaloha Shalaka which has got 80% result as per previous studies.	Download
2	AI Device to Identify Black Fungus disease - Post Covid-19 Pandemic Infections Ishaq Azhar Mohammed, DilipKumarVarma Jetty Abstract: Amid a major 2nd wave of COVID-19 infections, a fast increase in cases of mucormycosis, often known as black fungus, adds to the problems of India's health care system. This disease is not contagious, meaning it cannot be spread through human contact. However, it is transmitted by fungal spores that are prevalent in the air or the environment, and it is practically hard to prevent exposure to them. According to the US Centers for Disease Control and Prevention, mucormycosis has a 54 percent mortality rate, which varies depending on the patient's state and the body area affected [1]. More than 7,000 incidences of the usually uncommon disease have been recorded in recent weeks throughout India, with the majority of the occurrences being individuals who have been diagnosed with COVID-19 or are recuperating from the disease [1]. Although COVID-19 has been linked to a variety of secondary bacterial and fungal diseases, researchers believe that India's second wave of COVID-19 has provided an ideal environment for mucormycosis. According to experts, an increase in the usage of particular immune-suppressing medications during the COVID-19 pandemic might be the root cause of the surge in black fungus cases. This research paper will look at finding solutions on how this condition can be detected in real-time paving the way for medical experts to analyze it utilizing AI techniques.	Download