[HTML][HTML] Large language models in healthcare and medical domain: A review
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
Evaluating the competency of ChatGPT in MRCP Part 1 and a systematic literature review of its capabilities in postgraduate medical assessments
Objectives As a large language model (LLM) trained on a large data set, ChatGPT can
perform a wide array of tasks without additional training. We evaluated the performance of …
perform a wide array of tasks without additional training. We evaluated the performance of …
Overview of the mediqa-corr 2024 shared task on medical error detection and correction
Automatic detection and correction of medical errors enables a more rigorous validation of
medical documentation as well as clinical notes generated by large language models. Such …
medical documentation as well as clinical notes generated by large language models. Such …
Large language models outperform mental and medical health care professionals in identifying obsessive-compulsive disorder
Despite the promising capacity of large language model (LLM)-powered chatbots to
diagnose diseases, they have not been tested for obsessive-compulsive disorder (OCD). We …
diagnose diseases, they have not been tested for obsessive-compulsive disorder (OCD). We …
[HTML][HTML] Optimizing GPT-4 Turbo Diagnostic Accuracy in Neuroradiology through Prompt Engineering and Confidence Thresholds
A Wada, T Akashi, G Shih, A Hagiwara, M Nishizawa… - Diagnostics, 2024 - mdpi.com
Background and Objectives: Integrating large language models (LLMs) such as GPT-4
Turbo into diagnostic imaging faces a significant challenge, with current misdiagnosis rates …
Turbo into diagnostic imaging faces a significant challenge, with current misdiagnosis rates …
[HTML][HTML] Prompt Engineering Paradigms for Medical Applications: Scoping Review
Background Prompt engineering, focusing on crafting effective prompts to large language
models (LLMs), has garnered attention for its capabilities at harnessing the potential of …
models (LLMs), has garnered attention for its capabilities at harnessing the potential of …
Implications of large language models for quality and efficiency of neurologic care: emerging issues in neurology
Large language models (LLMs) are advanced artificial intelligence (AI) systems that excel in
recognizing and generating human-like language, possibly serving as valuable tools for …
recognizing and generating human-like language, possibly serving as valuable tools for …
Interpretable Differential Diagnosis with Dual-Inference Large Language Models
Methodological advancements to automate the generation of differential diagnosis (DDx) to
predict a list of potential diseases as differentials given patients' symptom descriptions are …
predict a list of potential diseases as differentials given patients' symptom descriptions are …
[HTML][HTML] Advancing Chinese biomedical text mining with community challenges
Objective This study aims to review the recent advances in community challenges for
biomedical text mining in China. Methods We collected information of evaluation tasks …
biomedical text mining in China. Methods We collected information of evaluation tasks …
Comparing ChatGPT's and Surgeon's Responses to Thyroid-related Questions From Patients
S Guo, R Li, G Li, W Chen, J Huang, L He… - The Journal of …, 2024 - academic.oup.com
Context For some common thyroid-related conditions with high prevalence and long follow-
up times, ChatGPT can be used to respond to common thyroid-related questions. Objective …
up times, ChatGPT can be used to respond to common thyroid-related questions. Objective …