Post by Sankalp Gulati
Chief Data Scientist at Eka Care | PhD in Music AI | Building Scalable AI for Healthcare | Runner & Music Technologist.
🎉 We are thrilled to announce the release of KARMA (Knowledge Assessment and Reasoning for Medical Applications), an open-source evaluation toolkit for Indian healthcare AI, along with four evaluation datasets and two AI models. India's healthcare reality presents unique challenges that most medical AI models aren't yet equipped to handle. They stumble on colloquial Hindi medical conversations. They often fail to understand critical drug names specific to our market. They struggle with the unique disease patterns, genetic variations, and most importantly, the healthcare delivery challenges that define our system. Because they were never built for us. The journey of building any intelligent AI system starts with rigorous evaluation. KARMA-OpenMedEvalKit is our initiative to set standards in healthcare AI assessment. Along with KARMA, we are also releasing 4 India-specific evaluation datasets covering medical ASR, document parsing, clinical note generation, and medical summarisation. The bigger vision? Every healthcare AI system deployed in India should be evaluated on datasets that reflect our linguistic diversity, clinical practices, and patient needs. We're open-sourcing everything because transforming Indian healthcare isn't a competitive advantage—it's a collective responsibility. KARMA blog: https://lnkd.in/ggBb-Mg8 🔗 KARMA docs: https://karma.eka.care 🔗 Datasets and Models: https://lnkd.in/gsesBPX8 #HealthcareAI #IndiaFirst #OpenSource #MedicalAI #HealthTech Dr. Neelesh Kapoor, Amit Bharti, Bhaskar Chaudhary, Vikalp Sahni, Suvrankar Datta, Bhasker Gupta, Anant Bhan, Raghu Dharmaraju, ashish makani, Sunayana Sitaram, Sundar Raman P, Sudarsun Santhiappan, PhD, Shalabh Srivastava, Chetan Verma, Gyavin Picardo, Srinivas Rana, PhD, Sehj Kashyap, Arjun Venkatraman, Sanjay Kinra, Kiran Challapalli, Kalyan Sivasailam, Pratul Varshney, Sharad Lahoti, Ravi Trivedi
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