Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery

D Dash, R Thapa, JM Banda, A Swaminathan… - arxiv preprint arxiv …, 2023 - arxiv.org
Despite growing interest in using large language models (LLMs) in healthcare, current
explorations do not assess the real-world utility and safety of LLMs in clinical settings. Our …

Genomic profiles and clinical outcomes of penile squamous cell carcinoma with elevated tumor mutational burden

A Necchi, PE Spiess, TC de Padua, R Li… - JAMA Network …, 2023 - jamanetwork.com
Importance Tumor mutational burden (TMB) is a putative biomarker of efficacy for immune
checkpoint inhibitor (ICI) therapies of solid tumors, but not specifically for penile squamous …

Promoting informed decision-making in a primary care practice by implementing decision aids

CL Lewis, MP Pignone - North Carolina medical journal, 2009 - pmc.ncbi.nlm.nih.gov
Empowering patients to be effective advocates for their health requires that they have
adequate information and understanding about their health conditions. Many patients have …

Real-world comparative effectiveness of acalabrutinib and ibrutinib in patients with chronic lymphocytic leukemia

LE Roeker, M DerSarkissian, K Ryan, Y Chen… - Blood …, 2023 - ashpublications.org
Novel agents, including Bruton tyrosine kinase inhibitors (BTKis), have become the standard
of care for patients with chronic lymphocytic leukemia (CLL). We conducted a real-world …

Investigating Why Clinicians Deviate from Standards of Care: Liberating Patients from Mechanical Ventilation in the ICU

N Yildirim, S Zlotnikov, A Venkat, G Chawla… - Proceedings of the CHI …, 2024 - dl.acm.org
Clinical practice guidelines, care pathways, and protocols are designed to support evidence-
based practices for clinicians; however, their adoption remains a challenge. We set out to …

[HTML][HTML] Using artificial intelligence to label free-text operative and ultrasound reports for grading pediatric appendicitis

W Abu-Ashour, S Emil, D Poenaru - Journal of Pediatric Surgery, 2024 - Elsevier
Purpose Data science approaches personalizing pediatric appendicitis management are
hampered by small datasets and unstructured electronic medical records (EMR). Artificial …

Replication of real-world evidence in oncology using electronic health record data extracted by machine learning

CM Benedum, A Sondhi, E Fidyk, AB Cohen, S Nemeth… - Cancers, 2023 - mdpi.com
Simple Summary Obtaining and structuring information about the characteristics, treatments,
and outcomes of people living with cancer for research purposes is difficult and resource …

Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs

S Yada, T Nishiyama, S Wakamiya, Y Kawazoe, S Imai… - PloS one, 2024 - journals.plos.org
Real-world data (RWD) in the medical field, such as electronic health records (EHRs) and
medication orders, are receiving increasing attention from researchers and practitioners …

Natural Language Processing for Analyzing Electronic Health Records and Clinical Notes in Cancer Research: A Review

M Bilal, A Hamza, N Malik - arxiv preprint arxiv:2410.22180, 2024 - arxiv.org
Objective: This review aims to analyze the application of natural language processing (NLP)
techniques in cancer research using electronic health records (EHRs) and clinical notes …

Extraction of clinical data on major pulmonary diseases from unstructured radiologic reports using a large language model

HJ Park, JY Huh, G Chae, MG Choi - PloS one, 2024 - journals.plos.org
Despite significant strides in big data technology, extracting information from unstructured
clinical data remains a formidable challenge. This study investigated the utility of large …