According to the World Health Organization, climate change is the single biggest health
threat facing humanity. The global health care system, including medical imaging, must …

Introduction: The burgeoning burden on emergency departments is a global challenge that
we have been confronting for many years. Emerging artificial intelligence (AI)-based …

Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …

Data annotation in NLP is a costly and time-consuming task, traditionally handled by human
experts who require extensive training to enhance the task-related background knowledge …

Lung cancer is the most common and second leading cause of cancer with lowest survival
rate due to lack of efficient diagnostic tools. Currently, researchers are devising artificial …

Data annotation in NLP is a costly and timeconsuming task, traditionally handled by human
experts who require extensive training to enhance the task-related background knowledge …

Introduction The urgency and complexity of emergency room (ER) settings require precise
and swift decision-making processes for patient care. Ensuring the timely execution of …

With the introduction of Transformers and Large Language Models, the field of NLP has
significantly evolved. Generative AI, a prominent transformer-based technology for crafting …