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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
Unexplained Infertility: Diagnostic Techniques
Unexplained infertility refers to the inability to conceive despite thorough evaluation showing no identifiable cause in both partners. Diagnostic techniques focus on ruling out common issues through tests like semen analysis, ovulation assessment, and imaging studies such as hysterosalpingography (HSG) or transvaginal ultrasound to evaluate the reproductive anatomy. Advanced tests, including laparoscopy, can identify subtle conditions like endometriosis or pelvic adhesions. Hormonal evaluations, genetic testing, and endometrial receptivity analysis are also employed to uncover less apparent factors. Despite these methods, unexplained infertility often remains challenging to diagnose, highlighting the need for personalized care and ongoing research.
Nutrition in Pregnancy
Nutrition in pregnancy is crucial for the health of both the mother and the developing baby. A well-balanced diet rich in essential nutrients like folic acid, iron, calcium, and protein supports fetal growth, reduces the risk of birth defects, and strengthens maternal health. Adequate intake of fruits, vegetables, whole grains, and healthy fats ensures a steady supply of vitamins and minerals. Staying hydrated and managing portion sizes helps avoid complications like gestational diabetes and excessive weight gain. Prenatal supplements may be recommended to meet specific nutritional needs. Proper nutrition fosters a healthy pregnancy and sets the foundation for the baby’s long-term well-being.
Management of Pulmonary Embolism
Management of pulmonary embolism (PE) involves rapid diagnosis through imaging techniques like CT pulmonary angiography and the administration of anticoagulant therapy to prevent further clot formation. In severe cases, thrombolytic therapy or surgical intervention may be necessary to remove the embolus and restore normal blood flow.
The Role of AI and Machine Learning in Healthcare
AI and machine learning are transforming healthcare by improving diagnosis, treatment, and patient care. These technologies analyze vast amounts of medical data to detect patterns, enabling early disease diagnosis, such as cancer or heart conditions. Predictive analytics helps identify at-risk patients and optimize care plans. AI-powered tools, like chatbots and virtual assistants, enhance patient engagement and streamline administrative tasks. In treatment, machine learning supports precision medicine by tailoring therapies to individual needs. Additionally, AI accelerates drug discovery and research. While offering immense potential, ethical considerations, data privacy, and algorithm transparency remain critical for successful integration into healthcare systems.
Approach to Hemorrhagic Shock
The approach to hemorrhagic shock involves rapid assessment and stabilization through fluid resuscitation, typically with crystalloids or blood products, to restore circulating volume and improve tissue perfusion. Concurrently, controlling the source of bleeding through surgical intervention or hemostatic techniques is essential to prevent further blood loss and ensure recovery.
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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.