AI for Health 2025: Transforming Medicine Through Artificial Intelligence
25th September 2025
Webinar has been completed
Welcome to AI for Health 2025
Transforming Medicine Through Artificial Intelligence
Welcome to AI for Health 2025: TMTAI Conference, the premier event exploring how artificial intelligence is reshaping every facet of medicine—from diagnostics and drug development to patient engagement and personalized care. Through quarterly webinars and an annual in-person summit, TMTAI unites visionary researchers and healthcare technologists to accelerate innovation.
TMTAI Conference 2025
Hosted by NEO-ART EXCELLENCE HUB PVT LTD, the Transforming Medicine Through Artificial Intelligence (TMTAI) Conference is a digital-first initiative that addresses the growing integration of AI in the healthcare ecosystem. We aim to highlight transformative applications and foster dialogue between technology creators, regulators, and end users.
Themes
- Predictive analytics in diagnostics
- AI in medical imaging and radiomics
- Real-time clinical decision support
- AI in robotic surgery
- Chatbots and virtual assistants in healthcare
- AI-driven drug discovery and clinical trials
- Ethical AI and patient data governance
- AI in mental health and behavioral sciences
- Large Language Models in health communication
OUR SPEAKERS
Dr. Hai Van Pham
Hai Van Pham is an Associate Professor in specialization of Artificial Intelligence (applied AI, Soft computing, machine learning, Bigdata analysis), working at the School of Information Technology and Communication, Hanoi University of Science and Technology.
Claris Mahambo Siyamayambo
Dr Claris Siyamayambo is a mathematical statistician and a researcher (PhD in Statistics (2021), M.A. in Statistics (2012), PGDE (2004), BSc General in Mathematics and Statistics, (2001) trained at the North West University, South Africa, University of Botswana and University of Zimbabwe.
Dr. Huang Wei Ling
Huang Wei Ling has completed her Graduation in Medicine in Brazil, specializing in infectious and parasitic diseases, General Practitioner, Parenteral and Enteral Medical Nutrition Therapist, Acupuncture and Pain Management Practitioner. Since 2007, she has been disseminating the knowledge of Oriental medicine, especially Traditional Chinese Medicine, in various places around the world, in the treatment of the various pathologies of the human body.
Dr. Atlanta Choudhury is a researcher at Gauhati University, working in Artificial Intelligence, Communication, and Medical Electronics. Her work focuses on AI-driven solutions for healthcare and smart systems.
Ashish Aggarwal
Dr. Ashish Agarwal holds a Ph.D. in Electrical and Instrumentation from Thapar Institute of Engineering and Technology, India, with over 9 years of experience in academics, training, and research. His expertise spans AI, ML, neural networks, circuit design, brain signal processing, and neuroscience, including the development of a cognitive enhancement game.
Dr. Dror Malka received his BSc and MSc degrees in electrical engineering from the Holon Institute of Technology (HIT) in 2008 and 2010, respectively, Israel. He has also completed a BSc degree in Applied Mathematics at HIT in 2008 and received his Ph.D. degree in electrical engineering from Bar-Ilan University (BIU) in 2015, Israel. Currently, he is a Senior Lecturer in the Faculty of Engineering at HiT.
MS4 at New York Medical College School of Medicine , AI – Powered Translation in Neurology: Potential Gains and Ongoing Challenges for use in the Clinic.