The integration of large language models (LLMs) into healthcare, particularly in nephrology,
represents a significant advancement in applying advanced technology to patient care …

The radiology report is the main form of communication between radiologists and other
clinicians. Prior work in natural language processing in radiology reports has shown the …

Recent advances in deep learning and natural language processing (NLP) have opened
many new opportunities for automatic text understanding and text processing in the medical …

Natural Language Processing (NLP) is a key technique for developing Medical Artificial
Intelligence (AI) systems that leverage Electronic Health Record (EHR) data to build …

Artificial intelligence (AI) is progressively being woven into the fabric of clinical medicine.
Most notably, radiology, as an image-based medical specialty, offers numerous applications …

Objectives: This survey aims to provide an overview of the current state of biomedical and
clinical Natural Language Processing (NLP) research and practice in Languages other than …

With advancements in large language models, artificial intelligence (AI) is undergoing a
paradigm shift where AI models can be repurposed with minimal effort across various …

Clinical decision-making is one of the most impactful parts of a physician's responsibilities
and stands to benefit greatly from artificial intelligence solutions and large language models …

The rapid development of multimodal large language models (MLLMs), such as GPT-4V,
has led to significant advancements. However, these models still face challenges in medical …

As of this writing, ChatGPT is the world's fastest adopted software application in history,
reaching 100M users in 2 months. While a notable achievement for a wide variety of …