Digital Event Horizon
NVIDIA's NIM microservices are being utilized by leading healthcare organizations across India to enhance generative AI applications for life sciences research, medical imaging, and drug discovery. The new Nematron-4 Hindi model has delivered exceptional accuracy for large language models in the Hindi language, making it an invaluable tool for researchers and developers working on AI-powered healthcare applications.
NVIDIA's NIM microservices are being used by leading healthcare organizations in India to enhance generative AI applications for life sciences research, medical imaging, and drug discovery. The Nematron-4 Hindi model has delivered the highest accuracy across benchmarks in large language models (LLMs) for Hindi, making it a valuable tool for researchers and developers. Researchers at IIT Madras are leveraging the Nemotron-4 Hindi model to advance neuroscience research by imaging whole human brains using AI analysis of vast petabyte-sized primary datasets. A chatbot utilizing the Nematron-4 Hindi NIM microservice is being developed to answer neuroscience-related questions in Hindi, making information about the brain more accessible to STEM students and researchers. A research group at IIIT-Delhi is using the Nematron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi to combat antimicrobial resistance. Bengaluru-based 5C Network's Bionic suite of medical imaging tools is being used to transform radiology reporting by reading and analyzing medical scans and generating comprehensive medical notes.
In a significant breakthrough, NVIDIA's NIM microservices are being utilized by leading healthcare organizations across India to enhance generative AI applications for life sciences research, medical imaging, and drug discovery. The Nemotron-4 Hindi model, which is part of the NVIDIA Inception program for cutting-edge startups, has been instrumental in boosting the accuracy of large language models (LLMs) in the Hindi language.
The new Nematron-4 Hindi NIM microservice has delivered the highest accuracy across benchmarks in 2 billion to 8 billion model-size categories for Hindi, making it an invaluable tool for researchers and developers working on AI-powered healthcare applications. This development is particularly significant given the Indian government's efforts to invest heavily in building foundational AI models designed and developed within the country, including for healthcare, through initiatives like the IndiaAI Mission.
The use of NVIDIA NIM microservices has far-reaching implications for healthcare organizations across India. For instance, researchers at the Indian Institute of Technology Madras (IIT Madras) are leveraging the Nemotron-4 Hindi model to advance neuroscience research by imaging whole human brains at a cellular level across various ages and brain diseases, using AI to analyze vast petabyte-sized primary datasets.
This work is opening new avenues for understanding brain structure and function as well as how they change in disease conditions, accelerating research that could lead to life-saving discoveries. Furthermore, the IIT Madras Brain Centre is developing an AI chatbot – utilizing the Nemotron-4 Hindi NIM microservice – that can answer neuroscience-related questions in Hindi, making information about the brain more accessible to STEM students and researchers.
In another significant development, a research group at the Indraprastha Institute of Information Technology Delhi (IIIT-Delhi) is using the Nematron-4 Hindi model to collect antibiotic prescription patterns in local languages, including Hindi. This initiative aims to combat antimicrobial resistance – one of the world's greatest threats to global health – by predicting that AI-guided antimicrobial stewardship will be a key component of preventing tens of millions of deaths between 2025 and 2050.
The researchers' AI-powered data integration and predictive analytics tool, AMRSense, improves accuracy and speeds time to insights on antimicrobial resistance. Powered by NVIDIA NeMo platform-based natural language processing, AMRSense is designed to be used in hospital and community settings. This collaborative solution between IIIT-Delhi and a consortium of other research institutions placed second out of over 300 entries in the Trinity Challenge, a competition that calls for data-driven solutions to help tackle global health threats.
In addition, Bengaluru- and Coimbatore-based 5C Network's Bionic suite of medical imaging tools is being used to transform radiology reporting by reading, detecting, and analyzing medical scans and generating comprehensive medical notes that provide actionable insights to support clinicians in decision-making. Used across India's largest hospital groups and several marquee hospitals, Bionic detects pathologies in scans, such as lung lesions in X-rays or brain masses in MRIs.
It then provides detailed measurements of abnormalities, such as the size, volume, or density of lesions to assess disease severity and treatment planning. Finally, Bionic compiles the data into clear, actionable reports with suggested next steps, such as further testing or specialist referrals. The Nematron-4 Hindi NIM microservice is being utilized by 5C Network to enhance its client app, which allows patients to ask questions about radiology reports and receive quick, accurate responses in simplified Hindi.
Overall, the integration of NVIDIA NIM microservices has revolutionized generative AI applications in healthcare across India. With the Nematron-4 Hindi model delivering exceptional accuracy for LLMs in the Hindi language, researchers and developers are now poised to tackle some of the most complex challenges facing the Indian healthcare sector.
Related Information:
https://blogs.nvidia.com/blog/india-healthcare-hindi-llm/
Published: Thu Oct 24 04:37:17 2024 by llama3.2 3B Q4_K_M
