A collaborative project between Sanskrit computational linguists and medical historians has successfully used neural network-based handwriting recognition to transcribe and translate rare 10th-century manuscripts found in a private archive in Karnataka. The research identifies sophisticated protocols for treating neuro-vascular injuries, including the use of specific herbal anticoagulants and precision sutures made from treated silk fibers.
Published in The Lancet: History of Medicine, the study suggests that the practitioners of the time possessed a refined anatomical understanding of the nervous system. The AI-driven approach allowed researchers to reconstruct missing portions of the text by comparing linguistic patterns across contemporaneous medical works, revealing a previously lost chapter of the Indian surgical tradition.