Total Credits: 2 AOA Category 1-A Credit(s)
This evidence-driven workshop explores how artificial intelligence is being responsibly integrated into contemporary clinical practice. Attendees will examine AI-enabled remote patient monitoring for chronic disease management, assess the real-world capabilities and limitations of AI in medicine and review clinical decision support and diagnostic applications. The session also highlights human-centered AI and mobile health tools designed to improve communication, access and trust, particularly in rural settings. Together, these perspectives provide a practical framework for evaluating and implementing AI across diverse clinical environments.
Objectives:
1. Evaluate the role of AI-enabled remote patient monitoring in chronic disease management and its impact on clinical outcomes and care workflows.
2. Critically assess the real-world capabilities and limitations of artificial intelligence in medicine to support safe and responsible adoption.
3. Apply AI-driven clinical decision support and human-centered mobile health strategies to enhance diagnostic accuracy, patient engagement, and access to care, especially in rural settings.
| Clinical Applications of Artificial Intelligence - SLIDES (6.8 MB) | 83 Pages | Available after Purchase |
Dr. Rangaprasad Sarangarajan is an accomplished biomedical scientist and educator with over two decades of experience spanning academia, industry, and translational research. Currently serving as Associate Professor of Biomedical Sciences at Sam Houston State University College of Osteopathic Medicine, Dr. Sarangarajan brings deep expertise in pharmacology, toxicology, and systems biology.He previously held executive leadership roles as Chief Scientific Officer at Metabolon, Inc. and BPGbio, where he spearheaded initiatives integrating artificial intelligence, multi-omics, and big data analytics to advance precision medicine and chronic disease management. His work has contributed to the development of data-driven platforms for biomarker discovery, therapeutic targeting, and remote health monitoring.Dr. Sarangarajan’s academic career includes foundational contributions to pharmacy education, curriculum innovation, and interdisciplinary research. He has led federally and institutionally funded studies in dermatology, nephrotoxicity, and pigment cell biology, and has served on national scientific committees and editorial boards. His current interests lie at the intersection of AI, health informatics, and whole-person care, with a focus on leveraging predictive modeling and digital health tools in primary care settings.
Dr. Simon Koch is an Associate Professor at the Medical AI Institute in the College of Osteopathic Medicine at Sam Houston State University. His research focuses on AI-based biomedical image analysis particularly in dermatology and the development of virtual-reality surgical simulations for minimally invasive procedures.
Dr. Vinoth Sittaramane is a Professor of Neuroscience and Director of the Medical Artificial Intelligence Institute at Sam Houston State University College of Osteopathic Medicine (SHSU-COM). Trained as a veterinarian and neuroscientist, Dr. Sittaramane combines over 15 years of academic and research experience with leadership in biomedical innovation and medical education.His work integrates AI-driven translational research, digital health technologies, and rural health workforce development, including the creation of the Master of Science in Applied Biomedical Sciences (MABS) program. Dr. Sittaramane’s research focuses on applying AI to neuroscience and vascular biology, with a commitment to advancing healthcare quality and access through technology, ethics, and education.
Dr. Chen earned her Master of Education (M.Ed.) in Curriculum and Instruction and Doctor of Philosophy (Ph.D.) in Health Education from Texas A&M University, graduating as a Distinguished Honor Graduate. She then completed a postdoctoral fellowship at the University at Buffalo’s School of Public Health and Health Professions. Before joining SHSU College of Osteopathic Medicine, she served as an Assistant Professor of Public Health at Oklahoma State University (OSU) and was later promoted to Associate Professor with tenure. At OSU, she received the Marguerite Scruggs Award for Meritorious Early Career Research in recognition of her exceptional scholarship and potential for national impact.Dr. Chen’s research focuses on how health literacy shapes health information-seeking behaviors, trust in information sources, and ultimately health outcomes among rural residents, Native Americans, immigrant families, and college students. Using both qualitative and quantitative methods, she examines how cultural, linguistic, and socioeconomic factors influence information seeking, risk perception, and health behaviors across diverse contexts, including cancer, diabetes, and, more recently, COVID-19.Her work on the relationships between health literacy, trust, and use of health information has been widely cited in policy documents by major health agencies, including the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC). By exploring the intersections of health literacy, cultural competence, and health outcomes, Dr. Chen’s scholarship informs the development of more equitable and effective health communication strategies.
Dr. Yarid focuses on the clinical and policy implementation of AI in healthcare, with expertise in AI-enabled clinical workflows, digital health governance, and ethical integration of emerging technologies into osteopathic and primary care practice.
