Tailoring Treatment: AI as a Partner in Care
- Nov 18, 2024
- 5:00PM TO 6:00 PM
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About the Case Presentation
AI plays an important role in dose optimization and adverse medication event prediction, providing major improvements to patient safety and treatment outcomes. Healthcare providers can use AI algorithms to adjust prescription dosages for specific patients and forecast potential adverse drug events, lowering risks and enhancing patient care.
About the Speaker
Dr. Ajit Audipudi
Healthcare AI Engineer, General Surgeon, AI Innovator, Hyderabad
Dr. Ajit Audipudi is a General Surgeon with over 5 years of experience in clinical practice, driven by a passion for revolutionizing patient care through AI technologies. Having witnessed firsthand the critical role of timely diagnosis and personalized treatment, he is dedicated to integrating Artificial Intelligence (AI) into healthcare to enhance clinical decision-making, improve patient outcomes, and increase access to quality care. As a Healthcare AI Freelancer, Dr. Audipudi specializes in developing innovative AI solutions for early detection, predictive analytics, and personalized treatment plans, focusing on streamlining workflows, reducing diagnostic errors, and improving patient experiences. He is proficient in DICOM image processing, Python programming, and applying machine learning and deep learning techniques, with notable achievements in predictive models for breast cancer (98.29% accuracy) and stroke prediction (92.36% accuracy). Dr. Audipudi holds advanced certifications, including an AI in Healthcare specialization from Stanford University, where he developed AI solutions for chronic disease management, and an Artificial Intelligence course from IIT Madras, further cementing his expertise in AI applications within healthcare. His technical skills, coupled with a strong commitment to transforming healthcare through AI, position him at the forefront of the digital health revolution.