A guide to artificial intelligence for cancer researchers
Artificial intelligence (AI) has been commoditized. It has evolved from a specialty resource to
a readily accessible tool for cancer researchers. AI-based tools can boost research …
a readily accessible tool for cancer researchers. AI-based tools can boost research …
Applications of Large Language Models in Pathology
J Cheng - Bioengineering, 2024 - mdpi.com
Large language models (LLMs) are transformer-based neural networks that can provide
human-like responses to questions and instructions. LLMs can generate educational …
human-like responses to questions and instructions. LLMs can generate educational …
Augmented non-hallucinating large language models as medical information curators
Reliably processing and interlinking medical information has been recognized as a critical
foundation to the digital transformation of medical workflows, and despite the development …
foundation to the digital transformation of medical workflows, and despite the development …
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports
Objective Although supervised machine learning is popular for information extraction from
clinical notes, creating large annotated datasets requires extensive domain expertise and is …
clinical notes, creating large annotated datasets requires extensive domain expertise and is …
Practical Application of Deep Learning in Diagnostic Neuropathology—Reimagining a Histological Asset in the Era of Precision Medicine
Simple Summary Technological and scientific innovations, from genetic sequencing to
digital pathology slide scanners, have drastically altered the field of neuropathology. The …
digital pathology slide scanners, have drastically altered the field of neuropathology. The …
[HTML][HTML] Evaluating the Prevalence of Burnout Among Health Care Professionals Related to Electronic Health Record Use: Systematic Review and Meta-Analysis
Y Wu, M Wu, C Wang, J Lin, J Liu… - JMIR Medical …, 2024 - medinform.jmir.org
Background Burnout among health care professionals is a significant concern, with
detrimental effects on health care service quality and patient outcomes. The use of the …
detrimental effects on health care service quality and patient outcomes. The use of the …
RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation
Large language models (LLMs) have advanced the field of artificial intelligence (AI) in
medicine. However LLMs often generate outdated or inaccurate information based on static …
medicine. However LLMs often generate outdated or inaccurate information based on static …
Emerging Applications of NLP and Large Language Models in Gastroenterology and Hepatology: A Systematic Review
M Omar Sr, K Sharif Sr, BS Glicksberg Sr, G Nadkarni… - medRxiv, 2024 - medrxiv.org
Background and Aim: In the last two years, natural language processing (NLP) has
transformed significantly with the introduction of large language models (LLM). This review …
transformed significantly with the introduction of large language models (LLM). This review …
Anonymizing medical documents with local, privacy preserving large language models: The LLM-Anonymizer
IC Wiest, ME Lessmann, F Wolf, D Ferber… - medRxiv, 2024 - medrxiv.org
Background: Medical research with real-world clinical data can be challenging due to
privacy requirements. Ideally, patient data are handled in a fully pseudonymised or …
privacy requirements. Ideally, patient data are handled in a fully pseudonymised or …
Large Multimodal Model based Standardisation of Pathology Reports with Confidence and their Prognostic Significance
Pathology reports are rich in clinical and pathological details but are often presented in free-
text format. The unstructured nature of these reports presents a significant challenge limiting …
text format. The unstructured nature of these reports presents a significant challenge limiting …