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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.
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