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ORTHO AI : The Dawn Of A New Era: Artificial Intelligence In Orthopaedics

Parag Sancheti, Neeraj Bijlani, Ashok Shyam, Amit Yerudkar, Rohan Lunawat

Year
2023
Citations
2
Access
Open access

Abstract

OrthoAI is the new buzz word in Orthopaedics. It was launched on 11th Dec 2023 at the hands of Dr Raghunath Mashelkar. It was an amazing event structured around the World’s First AI Focussed on Orthopaedics. Artificial Intelligence revolution began in Nov 2022 with advent of Chat GPT 3.5 on the AI landscape. Since then the advancements in Artificial Intelligence (AI) have started to change the landscape of various industries, and orthopaedics is no exception. Based on our observations and research, we firmly believe AI will redefine the landscape of orthopaedics in the near future specially in fields mentioned below but not restricted to it. With OrthoAI as first step we have created the foundation on which we can build on. We would be working in this field and follow it as it unfolds and present our insights from time to time. OrthoAI: A Generative AI Revolution in Orthopaedics As said OrthoAI is the foundation of the AI Revolution in Orthopaedics, and we would like to share some more insights about it. OrthoAI primary is a Generative AI like chat GPT. You can even call it OrthoGPT (Ortho Generative Pre-trained Transformer), a type of artificial intelligence model designed for understanding and generating human-like text. OrthoAI, akin to a specialized version of Chat GPT, or ‘OrthoGPT’, stands on three foundational pillars: 1. The OrthoAI Database: The essence of OrthoAI lies in its meticulously curated vector database, developed over nine months by a team of expert orthopaedic surgeons. This database is the cornerstone of OrthoAI’s reliability and validation. 2. PubMed Access: OrthoAI’s integration with PubMed enriches its evidence base, ensuring that its responses are grounded in the latest orthopaedic literature. 3. OrthoTV Access: With over eleven thousand orthopaedic videos, OrthoTV provides a wealth of expert knowledge and experiences. OrthoAI’s access to this repository allows it to offer comprehensive answers, supplemented with relevant article links and video content Before we explore the far-reaching applications of OrthoAI, it’s crucial to gain an understanding of what AI is and its main types. At its core, AI involves creating computer systems that mimic human intelligence, enabling them to perform tasks that usually require human intellect. Before delving into OrthoAI’s applications, it’s vital to understand AI’s core components: • Machine Learning (ML) is a subset of AI that allows computers to learn and improve from experience without being explicitly programmed. In simpler terms, it’s like teaching a child to identify objects. Over time, the child learns to recognize and distinguish objects on their own, much like ML algorithms learn from data and improve over time. OrthoAI is primed with Machine Learning • Deep Learning (DL) is a more complex subset of ML that mimics the neural networks of our brain. DL involves feeding a computer system a vast amount of data, which it uses to make decisions. For example, DL can help computers identify diseases by analyzing thousands of radiographs or MRI Scans. This ability to process and analyse a significant amount of data makes DL particularly valuable for OrthoAI. • Natural Language Processing (NLP) is another critical aspect of AI that focuses on the interaction between computers and humans using natural language. NLP can read and understand human language, enabling it to extract essential information from clinical notes or respond to patient queries in real-time. OrthoAI has NLP built in and will continue to learn from all its interactions. The rise of NLP and Large language models in last few months has infused new life in the AI arena and has piked the interest in these models. We believe AI will primarily impact in following Five areas of Orthopaedics OrthoAI & Clinical Decision Making OrthoAI as discussed above is built on a validated database, along with PubMed and OrthoTV access. This makes the answers most relevant and trustworthy. With a synthesised answer

Keywords

MedicineArtificial intelligence

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