A Global Grand Challenges case study reveals the potential of large language models (LLMs) to close health gaps in South Asia, but only when they're adapted and fine-tuned using local data and expertise. The study, "Evaluating large language models for clinical note processing: local fine-tuning and internal–external validation using electronic health records from South Asia," has been published in BMC Medical Informatics and Decision Making. A collaboration between Associate Professor Sara Khalid at NDORMS and Dr. Faisal Sultan from the Shaukat Khanum Memorial Cancer Hospital and Research Centre (SKMCH&RC) in Pakistan.
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