ai, radonc

AI Illuminated: Navigating the Future with Thought Leadership

Yusuf Elnady

Apr 11, 2024

At Fuse Oncology, we utilize artificial intelligence (AI) to yield valuable outcomes in healthcare. AI is at the core of our performance technologically. Since this is such a complex topic, I wanted to delve deeper for the entire Fuse team, furthering their understanding of the different categories of AI. The educational presentation, which took place earlier this year, demonstrates our commitment to continuous learning in this evolving field. 

My company-wide presentation explained the realms of AI, exploring its subsets, diverse systems, rule formulation, and applications of machine learning. I also explored how neural networks operate, delving into their recent advancements such as large language models (LLMs) and their potential applications across various healthcare scenarios. It’s crucial for non-technical people to begin demystifying and unraveling the language of AI, much like in navigating the world of computers and the internet through their early days. We are currently surpassing what can be achieved without AI by threefold or more, and I am thrilled Fuse is leading innovatively with its application.  

I was happy to review with my colleagues how artificial neurons in neural networks mimic the workings of biological neurons, replicating human intelligence, and how these models have a notable impact on improving healthcare practices.  

At Fuse, our solution S!GNAL utilizes AI to predict radiation oncology charges missed due to human error, thereby allowing physicians to dedicate more time to patient care while alleviating administrative burdens. It automates charge prediction with remarkable accuracy. FuseDocs takes it a step further, employing AI to provide exceptional editing features that streamline note taking and elevate writing quality. Looking ahead, we are actively exploring the integration of chatbots and virtual assistants to assist in the field of radiation oncology. While this initiative is currently under discussion, it aligns with our commitment to leveraging internal AI tools for continual advancements. These examples showcase the tangible benefits that embracing AI can bring, reinforcing the notion that integrating AI into our customers’ processes yields valuable outcomes. 

Recently, there’s been a misconception that AI is exclusively natural language processing (NLP) generative AI. Clearly, the actual landscape extends far beyond this narrow perspective. Focusing solely on one category may limit our vision for incorporating AI across various applications and contexts. Acknowledging the prominence of NLP with deep learning in recent AI advancements, it’s crucial to recognize that AI's scope extends far beyond any single category. In my talk, I explained the importance of stepping back to look at the broader spectrum to assess whether AI is truly necessary for a particular implementation. Rushing to adopt AI in every scenario is not always optimal; it must be applied in the right one. 

As the healthcare industry continues to learn from AI utilization, it’s important we continue to address privacy concerns. At Fuse, we approach this matter with utmost gravity and stringent protocols, adhering to HIPAA and other robust measures to safeguard and ensure the privacy of our clients’ data. Our anonymization tool rigorously safeguards customer data privacy and security. From a bigger picture perspective, it’s also vital we equip and train our workforces for the shift toward AI-driven healthcare. Education is a great place to start. 

In our recent discussions, ethical aspects related to AI usage were brought to the forefront, emphasizing the significance of awareness regarding potential bias in models resulting from skewed training data. One aspect of solving this is by adding an extra layer of protection to ensure that results are both safe and accurate. Numerous research papers have addressed the issue of bias in machine learning models, an issue we also take seriously at Fuse.   

From day one at this organization, AI has been at the forefront of Fuse innovation. We not only leverage its power for customer efficiency and success, but we also use AI internally to automate and streamline a multitude of tasks. Healthcare leaders are just beginning to unleash the power of AI and understand its many applications. This groundbreaking technology will continue to shape our future, as a company, and the healthcare industry at large. 


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