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AI in Public Health
Artificial Intelligence (AI) is revolutionizing public health by enhancing disease surveillance, predicting outbreaks, and optimizing resource allocation. By analyzing vast datasets, AI can identify patterns and provide insights for timely interventions, improving population health outcomes. It aids in personalized healthcare by tailoring prevention strategies and treatments to individual needs. AI-driven tools, like chatbots and health apps, improve accessibility to health information, empowering communities. Additionally, AI supports research by accelerating data analysis in epidemiology and public health studies. However, ethical considerations and data privacy remain crucial challenges to address in leveraging AI for public health.
About the Speaker
Dr. Umashankar
Professor and Managing Director Arogyati Private Limited, Banglore
Dr.Umashankar Subramanian is an Academician, Entrepreneur, Administrator and Mentor. He graduated BHMS from Government Homoeopathic Medical College and Hospital Bangalore, and Masters in Public Health from University of South Florida, Tampa, USA. He has 17 years of experience in homeopathic clinical practice and public health. He is Former Principal of Padmashree School of Public Health. He is Chairman, Scientific Committee, Government Homoeopathic Medical College, Karnataka and also Vice President: National Association of Palliative care and Integrated Medicine, Karnataka Chapter. He presented papers at national and international conferences, and also published papers in national and international journals.
Upcoming Case Discussions
Gynaecologist’s Guide to Ovarian Cancer
Join us for a special webinar on World Ovarian Cancer Day, titled "Gynaecologist’s Guide to Ovarian Cancer." This expert-led session will delve into the latest advancements in early diagnosis, risk stratification, and evidence-based management of ovarian cancer. Tailored for gynecologists and healthcare professionals, the session will also explore real-world case discussions and multidisciplinary treatment approaches. Let’s come together to raise awareness and empower clinicians in the fight against this silent but deadly disease
Massive Transfusion Protocol
Massive Transfusion Protocol (MTP) is a standardized medical procedure activated in cases of severe hemorrhage, typically involving the rapid administration of large volumes of blood products. The goal is to restore circulating volume, maintain hemostasis, and prevent the lethal triad of hypothermia, acidosis, and coagulopathy. MTP usually involves a balanced ratio of packed red blood cells, plasma, and platelets, often in a 1:1:1 ratio. Early activation and coordination among trauma teams, laboratory services, and blood banks are essential for its success.
Sleep Apnea and Daytime Fatigue
Sleep Disorder Breathing is a term for a group of conditions with abnormal breathing patterns during sleep. This affects everyday functioning and well being.There are few types of SDB which include upper airways resistance, hypopnea, apnea, catathrenia and heavy snoring. People suffering with SDB can have daytime symptoms that result in poor sleep also. There can also be sleepiness, depressed mood, irritability and cognitive dysfunction.
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Dr. Umashankar's Talks on Assimilate
- 5th -Dec -2024, TIME : 5:00PM TO 6:00 PM
- 0
Artificial Intelligence (AI) is revolutionizing public health by enhancing disease surveillance, predicting outbreaks, and optimizing resource allocation. By analyzing vast datasets, AI can identify patterns and provide insights for timely interventions, improving population health outcomes. It aids in personalized healthcare by tailoring prevention strategies and treatments to individual needs. AI-driven tools, like chatbots and health apps, improve accessibility to health information, empowering communities. Additionally, AI supports research by accelerating data analysis in epidemiology and public health studies. However, ethical considerations and data privacy remain crucial challenges to address in leveraging AI for public health.
- 5th -Dec -2024, TIME : 5:00PM TO 6:00 PM
- 0
Artificial Intelligence (AI) is revolutionizing public health by enhancing disease surveillance, predicting outbreaks, and optimizing resource allocation. By analyzing vast datasets, AI can identify patterns and provide insights for timely interventions, improving population health outcomes. It aids in personalized healthcare by tailoring prevention strategies and treatments to individual needs. AI-driven tools, like chatbots and health apps, improve accessibility to health information, empowering communities. Additionally, AI supports research by accelerating data analysis in epidemiology and public health studies. However, ethical considerations and data privacy remain crucial challenges to address in leveraging AI for public health.