Hugging Face's impact on medical applications of artificial intelligence
Matteo Marco Riva, Tommaso Lorenzo Parigi, Federica Ungaro, Luca Massimino
Abstract
In the rapidly evolving field of medical science, multiple applications of artificial Intelligence (AI) have emerged. Until very recently, developing an AI system required a combination of large datasets and advanced computer skills. Each model had to be coded from scratch, and once they were ready, they were rarely open-sourced. HugginFace, an open-source repository of pre-trained AI models, is transforming this process. HuggingFace provides many tools for addressing complex medical issues. Predictive modeling, natural language processing, and image classifications are just some of the categories of the more than 460,000 pre-trained models available for download. With these tools, AI systems are likely to be developed faster in all fields of medicine, improving patient care, streamlining workflows, and advancing research. In this review, HuggingFace AI tools are analyzed in depth to shed light on how they can evolve the future of healthcare.