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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.
About the Speaker
Dr. Viduthalai Virumbi Balagurusamy
Founder Director, Honeybee Population Healthcare Foundation, Chennai
Dr Viduthalai had done his Master of Public Health from ICMR National Institute of Epidemiology. Worked as Scientist D, Program Coordinator of GHSA project - Model district for public health preparedness surveillance and response, Tiruvallur district, South India during 2016-18. He participated in establishing a syndromic surveillance system during mass gatherings, disease outbreaks/pandemics and disasters. Presently working on population-scale tech-driven governance & healthcare projects.
Upcoming Case Discussions
Preparing your Practice for Adoption of AI
Preparing Your Practice for Adoption of AI" involves building a foundation of digital literacy, data readiness, and ethical awareness among clinicians and staff. Successful integration starts with identifying key workflows where AI can enhance efficiency, accuracy, or patient outcomes. It’s essential to choose tools that align with your practice’s goals while ensuring transparency, security, and compliance. Training, change management, and continuous evaluation are critical to fostering trust and long-term adoption. Ultimately, AI should support—not replace—the human touch in medicine.
Inspiratory Muscle Training: Benefits & Techniques
Inspiratory Muscle Training (IMT) is a targeted exercise program that strengthens the muscles involved in breathing, particularly the diaphragm and intercostal muscles. It is beneficial for individuals with respiratory conditions such as COPD, asthma, and heart failure, improving lung function, reducing breathlessness, and enhancing exercise tolerance. IMT can also benefit athletes by increasing endurance and respiratory efficiency. Techniques involve the use of handheld devices that provide resistance during inhalation, with training typically performed twice daily for several weeks. Consistent practice leads to better respiratory muscle strength, improved quality of life, and greater overall physical performance in both clinical and athletic settings.
Rickets & Vitamin D Deficiency: Prevention & Treatment
Rickets, caused primarily by vitamin D deficiency, leads to impaired bone mineralization in children, resulting in bone deformities, delayed growth, and skeletal pain. Prevention involves adequate sunlight exposure, a diet rich in vitamin D and calcium, and supplementation in at-risk populations such as exclusively breastfed infants or those with limited sun exposure. Treatment includes vitamin D and calcium supplementation, correction of underlying causes, and monitoring of biochemical markers and bone health. In severe cases, high-dose vitamin D therapy may be required. Early diagnosis and intervention are crucial to prevent long-term complications and support healthy growth and development in children.
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.
Common Surgical Emergencies in Newborn – Case scenarios
Neonatal surgery is an emergency service; it would not be appropriate to use extremely expensive equipment and highly specialized skills for a procedure that might wait. In fact, most neonatal surgery is performed with the intention of preserving lives. New surgical techniques for the treatment of other congenital anomalies are improbable, except from the inevitable rise in operations for congenital heart disease during the newborn period. The majority of specialized neonatal surgical units have found that children do not pass away from the condition for which they were referred; instead, they pass away from severe prematurity, respiratory difficulties, and accompanying abnormalities, many of which are incurable. Any improvement in outcomes is probably going to come from ventilation.
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Dr. Viduthalai Virumbi Balagurusamy 's Talks on Assimilate
- 08th -Jan -2025, TIME : 5:00PM TO 6:00 PM
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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.