Artificial intelligence in surgery

C Varghese, EM Harrison, G O'Grady, EJ Topol - Nature Medicine, 2024 - nature.com
Artificial intelligence (AI) is rapidly emerging in healthcare, yet applications in surgery
remain relatively nascent. Here we review the integration of AI in the field of surgery …

Large language models could make natural language again the universal interface of healthcare

JN Kather, D Ferber, IC Wiest, S Gilbert, D Truhn - Nature Medicine, 2024 - nature.com
Human healthcare providers com-municate in natural language, such as “a 25-year-old
male, 2 days after laparoscopic appendectomy for acute appendicitis, with normal bowel …

A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs)

L Li, J Zhou, Z Gao, W Hua, L Fan, H Yu… - arXiv preprint arXiv …, 2024 - arxiv.org
Electronic Health Records (EHRs) play an important role in the healthcare system. However,
their complexity and vast volume pose significant challenges to data interpretation and …

Predicting Lung Cancer Patient Prognosis with Large Language Models

D Hu, B Liu, X Li, X Zhu, N Wu - arXiv preprint arXiv:2408.07971, 2024 - arxiv.org
Prognosis prediction is crucial for determining optimal treatment plans for lung cancer
patients. Traditionally, such predictions relied on models developed from retrospective …

The Power of Combining Data and Knowledge: GPT-4o is an Effective Interpreter of Machine Learning Models in Predicting Lymph Node Metastasis of Lung Cancer

D Hu, B Liu, X Zhu, N Wu - arXiv preprint arXiv:2407.17900, 2024 - arxiv.org
Lymph node metastasis (LNM) is a crucial factor in determining the initial treatment for
patients with lung cancer, yet accurate preoperative diagnosis of LNM remains challenging …