In his talk, Dr Gupta discussed the potential role of large language models (LLMs) in revolutionizing healthcare in low and middle-income countries (LMICs). The talk explored the various benefits these technologies offer to patients, healthcare professionals, and the healthcare system at large, including improved diagnostic accuracy, personalized patient education, and streamlined administrative processes. He presented real-world use cases where LLMs have made tangible differences in resource-constrained healthcare settings. This talk also addressed the significant challenges and limitations facing the implementation of LLMs in such contexts including infrastructural deficiencies, the barrier posed by language diversity, socio-cultural nuances, and the risk of over-dependence on AI technologies. Finally, the talk discussed future considerations and a potential roadmap for the effective integration of LLMs into healthcare systems in LMICs while ensuring inclusivity, equity, and ethical use of AI in global healthcare.
Dr. Amit Gupta, MBBS, MD, EDiR, specialized in Radiology at the All India Institute of Medical Sciences, New Delhi, India. After his postgraduate training, he held the position of Assistant Professor in Radiology at AIIMS, and obtained a Fellowship in Pediatric Radiology from the same institution. Over the past few years, Dr. Gupta has worked on exploring the application of Artificial Intelligence in medical imaging and radiology. His work spans several radiological modalities including mammography, computed tomography, and ultrasound, and extends to enhancing radiological reporting through foundational language models for both practitioners and patients. Dr. Gupta's scholarly contributions include over 20 scientific publications and 10 presentations at esteemed radiology conferences. Recently, he was awarded the prestigious Frank Doyle medal by the Royal College of Radiology and the European Congress of Pediatric Radiology Grant by the European Society of Pediatric Radiology.