Why It Is Important To Understand Multimodal Large Language Models In Healthcare  

The future of medicine is undoubtedly inextricably linked to the development of artificial intelligence (AI). Although this revolution has been brewing for years, the past few months marked a major change, as algorithms finally moved out of the specialized labs and into our daily lives.  The public debut of Large Language Models (LLMs), like ChatGPT which became the fastest-growing consumer application of all time, has been a roaring success. LLMs are machine learning models trained on a vast amount of text data which enables them to understand and generate human-like text based on the patterns and structures they’ve learned. They differ significantly from prior deep learning methods in scale, capabilities, and potential impact.  Large language models will soon find their way in to everyday clinical settings, simply because the global shortage of healthcare personnel is becoming dire and AI will lend a hand with tasks that do not require skilled medical professionals. But before this can happen, before we have a sufficiently robust regulatory framework in place we are already seeing how this new technology is being used in everyday life. To better understand what lies ahead, let’s explore another key concept that will play a significant role in the transformation of medicine: multimodality. Doctors and nurses are supercomputers, medical AI is a calculator A multimodal system can process and interpret multiple types of input data, such as text, ima...
Source: The Medical Futurist - Category: Information Technology Authors: Tags: TMF Artificial Intelligence in Medicine large language models multimodal AI multimodal large language models multimodal LLM Source Type: blogs