Generative AI, the next wave of Machine Learning, is a revolutionary form of intelligence that encloses a category of algorithms that develop content, including text, images, and even music. Such algorithms learn patterns of existing data to generate unique outputs. It is a game-changing technology in different fields, including hospitality and healthcare.
In this era of generative AI, Aakash Chotrani is making his mark in the healthcare domain by enhancing machine learning models with generative AI. Aakash, a software developer and an innovative member of the Artificial Department at Oracle Cloud Infrastructure, is playing a significant role in incorporating AI in the healthcare field. Well, sourcing and de-identifying data are some of the critical issues in healthcare data. In healthcare, the data that can be used to identify an individual is known as Personal Identification Information (PIP), which is essential to de-identify to remove any bias from a machine learning model and bypass any backtracking of confidential information.
Aakash has mastered AI technology by extensively researching the medical AI field and its applications. In addition, he has published several research papers based on his research. Nowadays, he is pursuing a Ph.D. in Information Technology, where his thesis focuses on AI applications in healthcare. He has published several research papers on Ethical Considerations in Deploying Machine Learning Models in Healthcare and AI-driven integration of Genomic Data for Enhanced Cancer Diagnostics, to name a few. Learn more about his research by visiting his profile on ResearchGate. Additionally, he shares his enthusiasm for teaching and democratizing access to machine learning through his blog, Passionate star.
Aakash reports that he and his team use generative AI to decode the US healthcare system. They have developed large-scale distributed models to automate data deidentification using a hybrid approach of models detecting personal information and human evaluators monitoring results. This information is then used to build a large language model for prompt engineering.
Implementing Generative AI has shown a revolutionary impact in medical scenarios, including the summarization of doctor-patient conversations in which AI technology helps in SOAP note generation, disease detection, etc. Generative AI can enhance healthcare by streamlining workflows, automating processes, and making data-driven decisions that improve patient outcomes and experiences.
AI and Machine Learning technologies improve the effectiveness and efficiency of healthcare services that provide better patient care. Moreover, Aakash and his expert team have proven this statement with innovative technology solutions. Their noteworthy contributions to medical AI research have opened gateways for forthcoming innovations and the gradual decoding of the healthcare system.
In the current era, healthcare is a booming and critical sector that shows continuous improvement in providing better healthcare services by developing and applying ML and AI technologies. Generative AI developed by Oracle and Aakash’s team holds a promising future and has the potential to revolutionize the healthcare sectors across the US and the world.
To learn more about this game-changing technology and Generative AI development done by Oracle Cloud in the healthcare field, visit their official website.
Published by: Martin De Juan
