Title
Cancer Type, Stage and Prognosis Assessment from Pathology Reports using LLMs Rachit Saluja Jacob Rosenthal Yoav Artzi David J. Pisapia B. Liechty M. Sabuncu LM&MA ELM 63 0 0 03 Mar 2025
SudoLM: Learning Access Control of Parametric Knowledge with Authorization Alignment Qin Liu Fei Wang Chaowei Xiao Muhao Chen 76 0 0 18 Oct 2024
MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging Noel Codella Ying Jin Shrey Jain Yu Gu Ho Hin Lee ... Jenq-Neng Hwang Thomas Lin I. Tarapov M. Lungren Mu-Hsin Wei LM&MA VLM MedIm 40 8 0 09 Oct 2024
Enhancing disease detection in radiology reports through fine-tuning lightweight LLM on weak labels Yishu Wei Xindi Wang Hanley Ong Yiliang Zhou Adam Flanders George Shih Yifan Peng AI4MH LM&MA 18 1 0 25 Sep 2024
Unveiling Narrative Reasoning Limits of Large Language Models with Trope in Movie Synopses Hung-Ting Su Ya-Ching Hsu Xudong Lin Xiang Qian Shi Yulei Niu Han-Yuan Hsu Hung-yi Lee Winston H. Hsu LRM 31 0 0 22 Sep 2024
HeadCT-ONE: Enabling Granular and Controllable Automated Evaluation of Head CT Radiology Report Generation J. N. Acosta Xiaoman Zhang Siddhant Dogra Hong-Yu Zhou Seyedmehdi Payabvash Guido J. Falcone Eric K. Oermann Pranav Rajpurkar MedIm 23 0 0 19 Sep 2024
Can Rule-Based Insights Enhance LLMs for Radiology Report Classification? Introducing the RadPrompt Methodology Panagiotis Fytas Anna Breger Ian Selby Simon Baker Shahab Shahipasand Anna Korhonen 23 0 0 07 Aug 2024
No Size Fits All: The Perils and Pitfalls of Leveraging LLMs Vary with Company Size Ashok Urlana Charaka Vinayak Kumar B. Garlapati Ajeet Kumar Singh Rahul Mishra 33 1 0 21 Jul 2024
GPT-4V Cannot Generate Radiology Reports Yet Yuyang Jiang Chacha Chen Dang Nguyen Benjamin M. Mervak Chenhao Tan LM&MA 29 2 0 16 Jul 2024
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation Pablo Messina René Vidal Denis Parra Álvaro Soto Vladimir Araujo MedIm 48 2 0 02 Jul 2024
Evaluation of Language Models in the Medical Context Under Resource-Constrained Settings Andrea Posada Daniel Rueckert Felix Meissen Philip Muller LM&MA ELM 29 0 0 24 Jun 2024
MAIRA-2: Grounded Radiology Report Generation Shruthi Bannur Kenza Bouzid Daniel Coelho De Castro Anton Schwaighofer Sam Bond-Taylor ... Anja Thieme M. Lungren Maria T. A. Wetscherek Javier Alvarez-Valle Stephanie L. Hyland 40 33 0 06 Jun 2024
RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization Jinge Wu Abul Hasan Honghan Wu 26 0 0 05 Jun 2024
Leveraging Prompt-Learning for Structured Information Extraction from Crohn's Disease Radiology Reports in a Low-Resource Language L. Hazan G. Focht N. Gavrielov R. Reichart Talar Hagopian M. Greer R. Cytter-Kuint Dan Turner M. Freiman MedIm 29 1 0 02 May 2024
RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis Xiaoman Zhang Chaoyi Wu Ziheng Zhao Jiayu Lei Ya-Qin Zhang Yanfeng Wang Weidi Xie 23 16 0 25 Apr 2024
RAD-PHI2: Instruction Tuning PHI-2 for Radiology M. Ranjit G. Ganapathy Shaury Srivastav T. Ganu Srujana Oruganti LLMAG LM&MA 36 3 0 12 Mar 2024
Zero-Shot ECG Classification with Multimodal Learning and Test-time Clinical Knowledge Enhancement Che Liu Zhongwei Wan Ouyang Cheng Anand Shah Wenjia Bai Rossella Arcucci 28 27 0 11 Mar 2024
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification Ricardo Bigolin Lanfredi Pritam Mukherjee Ronald M. Summers 23 4 0 06 Mar 2024
LLMs with Industrial Lens: Deciphering the Challenges and Prospects -- A Survey Ashok Urlana Charaka Vinayak Kumar Ajeet Kumar Singh B. Garlapati S. Chalamala Rahul Mishra 35 5 0 22 Feb 2024
Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology Nur Yildirim Hannah Richardson Maria T. A. Wetscherek Junaid Bajwa Joseph Jacob ... Ozan Oktay M. Lungren Javier Alvarez-Valle A. Nori Anja Thieme LM&MA 51 44 0 22 Feb 2024
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports Felix J. Dorfner Liv Jürgensen Leonhard Donle Fares Al Mohamad Tobias R. Bodenmann ... Thomas Schultz Albert E. Kim J. Merkow Keno K. Bressem Christopher P. Bridge LM&MA VLM 23 7 0 19 Feb 2024
RareBench: Can LLMs Serve as Rare Diseases Specialists? Xuanzhong Chen Xiaohao Mao Qihan Guo Lun Wang Shuyang Zhang Ting Chen ELM LM&MA AI4MH 53 21 0 09 Feb 2024
A comparative study of zero-shot inference with large language models and supervised modeling in breast cancer pathology classification Madhumita Sushil T. Zack Divneet Mandair Zhiwei Zheng Ahmed Wali Yan-Ning Yu Yuwei Quan A. Butte 28 6 0 25 Jan 2024
SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval Griffin Adams Jason Zucker Noémie Elhadad 24 4 0 04 Jan 2024
Compositional Zero-Shot Domain Transfer with Text-to-Text Models Fangyu Liu Qianchu Liu Shruthi Bannur Fernando Pérez-García Naoto Usuyama ... A. Nori Hoifung Poon Javier Alvarez-Valle Ozan Oktay Stephanie L. Hyland VLM 43 5 0 23 Mar 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 227 2,989 0 22 Mar 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models Xuezhi Wang Jason W. Wei Dale Schuurmans Quoc Le Ed H. Chi Sharan Narang Aakanksha Chowdhery Denny Zhou ReLM BDL LRM AI4CE 297 3,217 0 21 Mar 2022
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,311 0 17 Jan 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 146 156 0 20 Oct 2020