output
20142026
most citedscikit-image: Image processing in Python

7.2k citations

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9 papers · 1 filter

cs.CL2025

Cognitive bias in LLM reasoning compromises interpretation of clinical oncology notes

Matthew W. Kenaston, Umair Ayub, Mihir Parmar +14

Despite high performance on clinical benchmarks, large language models may reach correct conclusions through faulty reasoning, a failure mode with safety implications for oncology…

cs.CL2024★ 30 cited

A Comparative Study of Recent Large Language Models on Generating Hospital Discharge Summaries for Lung Cancer Patients

Yiming Li, Fang Li, Kirk Roberts +3

Generating discharge summaries is a crucial yet time-consuming task in clinical practice, essential for conveying pertinent patient information and facilitating continuity of care.…

cs.CL2024★ 40 cited

Relation Extraction Using Large Language Models: A Case Study on Acupuncture Point Locations

Yiming Li, Xueqing Peng, Jianfu Li +6

In acupuncture therapy, the accurate location of acupoints is essential for its effectiveness. The advanced language understanding capabilities of large language models (LLMs) like…

cs.CL2024★ 31 cited

Extracting Social Support and Social Isolation Information from Clinical Psychiatry Notes: Comparing a Rule-based NLP System and a Large Language Model

Braja Gopal Patra, Lauren A. Lepow, Praneet Kasi Reddy Jagadeesh Kumar +16

Background: Social support (SS) and social isolation (SI) are social determinants of health (SDOH) associated with psychiatric outcomes. In electronic health records (EHRs), indivi…

cs.CL2023★ 57 cited

AE-GPT: Using Large Language Models to Extract Adverse Events from Surveillance Reports-A Use Case with Influenza Vaccine Adverse Events

Yiming Li, Jianfu Li, Jianping He +1

Though Vaccines are instrumental in global health, mitigating infectious diseases and pandemic outbreaks, they can occasionally lead to adverse events (AEs). Recently, Large Langua…

cs.CL2023★ 260 cited

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

Kai Zhang, Rong Zhou, Eashan Adhikarla +20

Traditional biomedical artificial intelligence (AI) models, designed for specific tasks or modalities, often exhibit limited flexibility in real-world deployment and struggle to ut…

cs.CL2023★ 7 cited

Extracting Thyroid Nodules Characteristics from Ultrasound Reports Using Transformer-based Natural Language Processing Methods

Aman Pathak, Zehao Yu, Daniel Paredes +5

The ultrasound characteristics of thyroid nodules guide the evaluation of thyroid cancer in patients with thyroid nodules. However, the characteristics of thyroid nodules are often…

cs.CL2023★ 22 cited

Detecting Reddit Users with Depression Using a Hybrid Neural Network SBERT-CNN

Ziyi Chen, Ren Yang, Sunyang Fu +3

Depression is a widespread mental health issue, affecting an estimated 3.8% of the global population. It is also one of the main contributors to disability worldwide. Recently it i…

cs.CL2022★ 6 cited

Development of an Extractive Clinical Question Answering Dataset with Multi-Answer and Multi-Focus Questions

Sungrim Moon, Huan He, Hongfang Liu +1

Background: Extractive question-answering (EQA) is a useful natural language processing (NLP) application for answering patient-specific questions by locating answers in their clin…