| A survey of large language models in medicine: Progress, application, and challenge H Zhou, B Gu, X Zou, Y Li, SS Chen, P Zhou, J Liu, Y Hua, C Mao, X Wu, ... arXiv preprint arXiv:2311.05112, 2023 | 54 | 2023 |
| A survey on clinical natural language processing in the United Kingdom from 2007 to 2022 H Wu, M Wang, J Wu, F Francis, YH Chang, A Shavick, H Dong, ... NPJ digital medicine 5 (1), 186, 2022 | 42 | 2022 |
| Stock market trend analysis using hidden Markov model and long short term memory M Liu, J Huo, Y Wu, J Wu arXiv preprint arXiv:2104.09700, 2021 | 10 | 2021 |
| Edinburgh_UCL_Health@ SMM4H'22: From Glove to Flair for handling imbalanced healthcare corpora related to Adverse Drug Events, Change in medication and self-reporting vaccination I Guellil, J Wu, H Wu, T Sun, B Alex Proceedings of the 29th International Conference on Computational …, 2022 | 6 | 2022 |
| KnowLab at RadSum23: comparing pre-trained language models in radiology report summarization J Wu, D Shi, A Hasan, H Wu BioNLP 2023, 535-540, 2023 | 4 | 2023 |
| Ontology-Driven Self-Supervision for Adverse Childhood Experiences Identification Using Social Media Datasets J Wu, R Smith, H Wu Proceedings of the 1st Workshop on Scarce Data in Artificial Intelligence …, 2023 | 4 | 2023 |
| Hallucination Benchmark in Medical Visual Question Answering J Wu, Y Kim, H Wu ICLR 2024, 2024 | 3 | 2024 |
| Exploring Multimodal Large Language Models for Radiology Report Error-checking J Wu, Y Kim, EC Keller, J Chow, AP Levine, N Pontikos, Z Ibrahim, ... arXiv preprint arXiv:2312.13103, 2023 | 3 | 2023 |
| Detecting Adverse Drug Events from social media: A brief literature review I Guellil, N Chenni, Y Berrachedi, MN Abboud, J Wu, H Wu, B Alex The Sixth Widening NLP Workshop: Proceedings of the Workshop, 2022 | 2 | 2022 |
| Adverse Childhood Experiences Identification from Clinical Notes with Ontologies and NLP J Wu, R Smith, H Wu the 5th Healthcare Text Analytics Conference, 2022 | 2 | 2022 |
| Chain-of-Though (CoT) prompting strategies for medical error detection and correction Z Wu, A Hasan, J Wu, Y Kim, JPY Cheung, T Zhang, H Wu ClinicalNLP 2024, 2024 | 1 | 2024 |
| Retrieving and Refining: A Hybrid Framework with Large Language Models for Rare Disease Identification J Wu, H Dong, Z Li, A Patra, H Wu arXiv preprint arXiv:2405.10440, 2024 | 1 | 2024 |
| Enhancing Human-Computer Interaction in Chest X-ray Analysis using Vision and Language Model with Eye Gaze Patterns Y Kim, J Wu, Y Abdulle, Y Gao, H Wu MICCAI 2024, 2024 | 1 | 2024 |
| Natural language processing for detecting adverse drug events: A systematic review protocol I Guellil, J Wu, A Pradipta Gema, F Francis, Y Berrachedi, N Chenni, ... NIHR Open Research 3, 67, 2023 | 1 | 2023 |
| A nationwide study of 331 rare diseases among 58 million individuals: prevalence, demographics, and COVID-19 outcomes JH Thygesen, H Zhang, H Issa, J Wu, T Hama, AC Pinho-Gomes, T Groza, ... medRxiv, 2023.10. 12.23296948, 2023 | 1 | 2023 |
| SLaVA-CXR: Small Language and Vision Assistant for Chest X-ray Report Automation J Wu, Y Kim, D Shi, D Cliffton, F Liu, H Wu arXiv preprint arXiv:2409.13321, 2024 | | 2024 |
| Human-in-the-Loop Chest X-Ray Diagnosis: Enhancing Large Multimodal Models with Eye Fixation Inputs Y Kim, J Wu, Y Abdulle, Y Gao, H Wu International Workshop on Trustworthy Artificial Intelligence for Healthcare …, 2024 | | 2024 |
| Harnessing Knowledge Retrieval with Large Language Models for Clinical Report Error Correction J Wu, Z Wu, A Hasan, Y Kim, JPY Cheung, T Zhang, H Wu arXiv preprint arXiv:2406.15045, 2024 | | 2024 |
| Infusing clinical knowledge into tokenisers for language models A Hasan, J Wu, QN Nguyen, S Andres, I Guellil, H Zhang, A Casey, B Alex, ... arXiv preprint arXiv:2406.14312, 2024 | | 2024 |
| MedExQA: Medical Question Answering Benchmark with Multiple Explanations Y Kim, J Wu, Y Abdulle, H Wu BioNLP 2024, 2024 | | 2024 |
