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The Future of AI in Healthcare
The future of AI in healthcare promises transformative advancements, enabling faster and more accurate diagnoses through machine learning algorithms. AI will enhance personalized medicine, tailoring treatments to individual patients based on genetic and lifestyle data. Robotic surgery and AI-driven imaging will improve precision in medical procedures, reducing risks and recovery times. AI-powered virtual assistants will support doctors by streamlining administrative tasks, allowing more focus on patient care. Ultimately, AI has the potential to revolutionize healthcare by increasing efficiency, reducing costs, and improving patient outcomes globally.
About the Speaker
Mr. Jitendra Barmecha
Senior Vice President, Chief Information & Digital Strategy Officer, SBH Health System, NewYork, USA
Dr. Jitendra Barmecha, MD, MPH, MACP, SFHM, is an Associate Professor of Clinical Medicine at CUNY School of Medicine and serves as Chief Information & Digital Strategy Officer and Senior Vice President at SBH Health System, Bronx, NY. Starting as Chief Medical Resident at SBHHS, he later earned an MPH in Health Management and Policy from New York Medical College. He oversees SBHHS's digital transformation, focusing on health technologies, EHR integration, and patient engagement solutions. A key member of SBHHS’s COVID-19 pandemic command center, Dr. Barmecha has contributed to telehealth publications and serves on various healthcare advisory boards. He remains active in clinical care, teaching, and publishing on healthcare management, digital medicine, and patient safety.
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.
AI in Medicine: Challenges and Opportunities
AI in Medicine: Challenges and Opportunities explores the transformative potential of artificial intelligence in improving diagnostics, treatment planning, and healthcare delivery. The session highlights how AI can enhance clinical accuracy, streamline workflows, and support personalized medicine. At the same time, it addresses key challenges such as data privacy, algorithm bias, and the need for regulatory oversight. Real-world applications and case studies illustrate both the promise and the pitfalls of integrating AI into clinical practice. This session aims to equip healthcare professionals with a balanced view of how AI can complement human expertise in medicine.
Ayurvedic Path to Parkinson’s Relief: Research Based Perspective
Ayurvedic Path to Parkinson's Relief: A Research-Based Perspective explores how ancient Ayurvedic principles can complement modern approaches in managing Parkinson's disease. Drawing from recent clinical studies and traditional wisdom, this session delves into the use of herbal formulations, Panchakarma therapies, and lifestyle modifications to alleviate motor and non-motor symptoms. It highlights the neuroprotective potential of key herbs like Mucuna pruriens and Ashwagandha. Backed by evidence and expert insights, the session aims to bridge traditional healing with modern neurological care for holistic patient outcomes.
Congenital Uterine Anomalies
Congenital uterine anomalies are structural abnormalities of the uterus resulting from improper fusion, canalization, or resorption of the Müllerian ducts during fetal development. These anomalies include septate, bicornuate, unicornuate, and didelphys uterus, among others. They can be asymptomatic or associated with infertility, recurrent pregnancy loss, preterm birth, or abnormal menstruation. Diagnosis is typically made using imaging modalities like ultrasound, MRI, or hysterosalpingography. Treatment depends on the type and severity of the anomaly, with surgical correction such as hysteroscopic septum resection often indicated in symptomatic cases. Early detection is crucial for optimizing reproductive outcomes and guiding appropriate management strategies.
Approach to severe hyperkalemia in ICU
Approach to Severe Hyperkalemia in the ICU focuses on rapid identification and targeted intervention to prevent life-threatening complications. The session outlines key steps including ECG monitoring, membrane stabilization with calcium gluconate, intracellular potassium shift using insulin-dextrose and beta-agonists, and potassium elimination via diuretics or dialysis. It emphasizes prioritizing reversible causes like renal failure or medication-induced hyperkalemia. Real-world ICU scenarios and evidence-based protocols will guide clinicians in managing this critical electrolyte emergency effectively.
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Mr. Jitendra Barmecha's Talks on Assimilate
- 18th -Oct -2024, TIME : 6:30PM TO 7:30 PM
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The future of AI in healthcare promises transformative advancements, enabling faster and more accurate diagnoses through machine learning algorithms. AI will enhance personalized medicine, tailoring treatments to individual patients based on genetic and lifestyle data. Robotic surgery and AI-driven imaging will improve precision in medical procedures, reducing risks and recovery times. AI-powered virtual assistants will support doctors by streamlining administrative tasks, allowing more focus on patient care. Ultimately, AI has the potential to revolutionize healthcare by increasing efficiency, reducing costs, and improving patient outcomes globally.