Evaluating Large Language Models in extracting cognitive exam dates and scores.

Ensuring reliability of Large Language Models (LLMs) in clinical tasks is crucial. Our study assesses two state-of-the-art LLMs (ChatGPT and LlaMA-2) for extracting clinical information, focusing on cognitive tests like MMSE and CDR. Our data consisted of 135,307 clinical notes (Jan 12th, 2010 to May 24th, 2023) mentioning MMSE, CDR, or MoCA.

Health system-wide access to generative artificial intelligence: the New York University Langone Health experience.

Objectives: The study aimed to assess the usage and impact of a private and secure instance of a generative artificial intelligence (GenAI) application in a large academic health center. The goal was to understand how employees interact with this technology and the influence on their perception of skill and work performance.

Materials And Methods: New York University Langone Health (NYULH) established a secure, private, and managed Azure OpenAI service (GenAI Studio) and granted widespread access to employees.

Trotter Procedure with Harmonic Scalpel : A Unique Approach to Mucoepidermoid Carcinoma of Tongue Base Revisited.

Mucoepidermoid carcinoma (MEC) is a malignant locally invasive tumour of salivary glands, presumed to arise from reserve cells of salivary gland ducts. It accounts approximately 35% of all malignancies of major and minor salivary glands [1]. MEC arising in minor salivary glands can be located in different areas such as palate, retromolar trigone, floor of mouth, buccal mucosa, lips and tongue.

The First Generative AI Prompt-A-Thon in Healthcare: A Novel Approach to Workforce Engagement with a Private Instance of ChatGPT.

Background: Healthcare crowdsourcing events (e.g. hackathons) facilitate interdisciplinary collaboration and encourage innovation.