Table of Contents

• Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical SettingsJoel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin. 1-7 [doi]
• Medical Visual Textual Entailment for Numerical Understanding of Vision-and-Language ModelsHitomi Yanaka, Yuta Nakamura, Yuki Chida, Tomoya Kurosawa. 8-18 [doi]
• Privacy-Preserving Knowledge Transfer through Partial Parameter SharingPaul Youssef, Jörg Schlötterer, Christin Seifert. 19-23 [doi]
• Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's DiseaseKritesh Rauniyar, Shuvam Shiwakoti, Sweta Poudel, Surendrabikram Thapa, Usman Naseem, Mehwish Nasim. 24-30 [doi]
• Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer LearningLifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic. 31-40 [doi]
• Tracking the Evolution of Covid-19 Symptoms through Clinical ConversationsTiciana Coelho da Silva, José Antônio Fernandes de Macêdo, Regis Pires Magalhães. 41-47 [doi]
• Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement LearningXiangru Tang, Arman Cohan, Mark Gerstein. 48-58 [doi]
• Navigating Data Scarcity: Pretraining for Medical Utterance ClassificationDo June Min, Verónica Pérez-Rosas, Rada Mihalcea. 59-68 [doi]
• Hindi Chatbot for Supporting Maternal and Child Health Related Queries in Rural IndiaRitwik Mishra, Simranjeet Singh, Jasmeet Kaur, Pushpendra Singh 0001, Rajiv Ratn Shah. 69-77 [doi]
• Multi-Task Training with In-Domain Language Models for Diagnostic ReasoningBrihat Sharma, Yanjun Gao, Timothy A. Miller, Matthew M. Churpek, Majid Afshar, Dmitriy Dligach. 78-85 [doi]
• Context-aware Medication Event Extraction from Unstructured TextNoushin Salek Faramarzi, Meet Patel, Sai Harika Bandarupally, Ritwik Banerjee. 86-95 [doi]
• Improving Automatic KCD Coding: Introducing the KoDAK and an Optimized Tokenization Method for Korean Clinical DocumentsGeunyeong Jeong, Juoh Sun, Seokwon Jeong, Hyunjin Shin, Harksoo Kim. 96-101 [doi]
• Who needs context? Classical techniques for Alzheimer's disease detectionBehrad Taghibeyglou, Frank Rudzicz. 102-107 [doi]
• Knowledge Injection for Disease Names in Logical Inference between Japanese Clinical TextsNatsuki Murakami, Mana Ishida, Yuta Takahashi, Hitomi Yanaka, Daisuke Bekki. 108-117 [doi]
• Training Models on Oversampled Data and a Novel Multi-class Annotation Scheme for Dementia DetectionNadine Abdelhalim, Ingy Abdelhalim, Riza Batista-Navarro. 118-124 [doi]
• Improving the Transferability of Clinical Note Section Classification Models with BERT and Large Language Model EnsemblesWeipeng Zhou, Majid Afshar, Dmitriy Dligach, Yanjun Gao, Timothy Miller 0002. 125-130 [doi]
• Can Large Language Models Safely Address Patient Questions Following Cataract Surgery?Mohita Chowdhury, Ernest Lim, Aisling Higham, Rory McKinnon, Nikoletta Ventoura, Yajie He, Nick de Pennington. 131-137 [doi]
• Large Scale Sequence-to-Sequence Models for Clinical Note Generation from Patient-Doctor ConversationsGagandeep Singh, Yue Pan, Jesús Andrés-Ferrer, Miguel A. del Agua, Frank Diehl, Joel Pinto, Paul Vozila. 138-143 [doi]
• clulab at MEDIQA-Chat 2023: Summarization and classification of medical dialoguesKadir Bulut Özler, Steven Bethard. 144-149 [doi]
• Leveraging Natural Language Processing and Clinical Notes for Dementia DetectionMing Liu, Richard Beare, Taya Collyer, Nadine Andrew, Velandai Srikanth. 150-155 [doi]
• Automated Orthodontic Diagnosis from a Summary of Medical FindingsTakumi Ohtsuka, Tomoyuki Kajiwara, Chihiro Tanikawa, Yuujin Shimizu, Hajime Nagahara, Takashi Ninomiya. 156-160 [doi]
• Harnessing the Power of BERT in the Turkish Clinical Domain: Pretraining Approaches for Limited Data ScenariosHazal Türkmen, Oguz Dikenelli, Cenk Eraslan, Mehmet Cem Çalli, Suha Sureyya Ozbek. 161-170 [doi]
• A Meta-dataset of German Medical Corpora: Harmonization of Annotations and Cross-corpus NER EvaluationIgnacio Llorca, Florian Borchert, Matthieu-P. Schapranow. 171-181 [doi]
• Uncovering the Potential for a Weakly Supervised End-to-End Model in Recognising Speech from Patient with Post-Stroke AphasiaGiulia Sanguedolce, Patrick A. Naylor, Fatemeh Geranmayeh. 182-190 [doi]
• Textual Entailment for Temporal Dependency Graph ParsingJiarui Yao, Steven Bethard, Kristin Wright-Bettner, Eli Goldner, David Harris 0004, Guergana Savova. 191-199 [doi]
• Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language modelsVarun Nair, Elliot Schumacher, Anitha Kannan. 200-217 [doi]
• Factors Affecting the Performance of Automated Speaker Verification in Alzheimer's Disease Clinical TrialsMalikeh Ehghaghi, Marija Stanojevic, Ali Akram, Jekaterina Novikova. 218-227 [doi]
• Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language modelsAshwyn Sharma, David Feldman, Aneesh Jain. 228-235 [doi]
• Method for Designing Semantic Annotation of Sepsis Signs in Clinical TextMelissa Y. Yan, Lise Tuset Gustad, Lise Husby Høvik, Øystein Nytrø. 236-246 [doi]
• Prompt Discriminative Language Models for Domain AdaptationKeming Lu, Peter Potash, Xihui Lin, Yuwen Sun, Zihan Qian, Zheng Yuan 0002, Tristan Naumann, Tianxi Cai, Junwei Lu. 247-258 [doi]
• Cross-domain German Medical Named Entity Recognition using a Pre-Trained Language Model and Unified Medical Semantic TypesSiting Liang, Mareike Hartmann, Daniel Sonntag. 259-271 [doi]
• Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing ApplicationsUsman Naseem, Surendrabikram Thapa, Qi Zhang, Liang Hu 0004, Anum Masood, Mehwish Nasim. 272-277 [doi]
• Medical knowledge-enhanced prompt learning for diagnosis classification from clinical textYuxing Lu, Xukai Zhao, Jinzhuo Wang. 278-288 [doi]
• Multilingual Clinical NER: Translation or Cross-lingual Transfer?Félix Gaschi, Xavier Fontaine, Parisa Rastin, Yannick Toussaint. 289-311 [doi]
• UMLS-KGI-BERT: Data-Centric Knowledge Integration in Transformers for Biomedical Entity RecognitionAidan Mannion, Didier Schwab, Lorraine Goeuriot. 312-322 [doi]
• WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language ModelsJohn M. Giorgi, Augustin Toma, Ronald Xie, Sondra Chen, Kevin R. An, Grace X. Zheng, Bo Wang. 323-334 [doi]
• Automatic Coding at Scale: Design and Deployment of a Nationwide System for Normalizing Referrals in the Chilean Public Healthcare SystemFabián Villena, Matías Rojas, Felipe Arias, Jorge Pacheco, Paulina Vera, Jocelyn Dunstan. 335-343 [doi]
• Building blocks for complex tasks: Robust generative event extraction for radiology reports under domain shiftsSitong Zhou, Meliha Yetisgen, Mari Ostendorf. 344-357 [doi]
• Intersectionality and Testimonial Injustice in Medical RecordsKenya Andrews, Bhuvni Shah, Lu Cheng. 358-372 [doi]
• Interactive Span Recommendation for Biomedical TextLouis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu, Akshay Chaudhari, Hoifung Poon, Sheng Zhang 0012, Mu Wei, Joseph Preston. 373-384 [doi]
• Prompt-based Extraction of Social Determinants of Health Using Few-shot LearningGiridhar Kaushik Ramachandran, Yujuan Fu, Bin Han, Kevin Lybarger, Nicholas J. Dobbins, Özlem Uzuner, Meliha Yetisgen. 385-393 [doi]
• Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarizationYongbin Jeong, Ju-Hyuck Han, Kyung Min Chae, Yousang Cho, Hyunbin Seo, Kyungtae Lim, Key-Sun Choi, YoungGyun Hahm. 394-402 [doi]
• Rare Codes Count: Mining Inter-code Relations for Long-tail Clinical Text ClassificationJiamin Chen, Xuhong Li 0002, Junting Xi, Lei Yu, Haoyi Xiong. 403-413 [doi]
• NewAgeHealthWarriors at MEDIQA-Chat 2023 Task A: Summarizing Short Medical Conversation with TransformersPrakhar Mishra, Ravi Theja Desetty. 414-421 [doi]
• Storyline-Centric Detection of Aphasia and Dysarthria in Stroke Patient TranscriptsPeiqi Sui, Kelvin K. Wong, Xiaohui Yu 0003, John Volpi, Stephen T. C. Wong. 422-432 [doi]
• Pre-trained language models in Spanish for health insurance coverageClaudio Aracena, Nicolás Rodríguez, Victor Rocco, Jocelyn Dunstan. 433-438 [doi]
• Utterance Classification with Logical Neural Network: Explainable AI for Mental Disorder DiagnosisYeldar Toleubay, Don Joven Agravante, Daiki Kimura, Baihan Lin, Djallel Bouneffouf 0001, Michiaki Tatsubori. 439-446 [doi]
• A Survey of Evaluation Methods of Generated Medical Textual ReportsYongxin Zhou 0004, Fabien Ringeval, François Portet. 447-459 [doi]
• UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?Junda Wang, Zonghai Yao, Avijit Mitra, Samuel Osebe, Zhichao Yang 0001, Hong Yu 0001. 460-471 [doi]
• HealthMavericks@MEDIQA-Chat 2023: Benchmarking different Transformer based models for Clinical Dialogue SummarizationKunal Suri, Saumajit Saha, Atul Singh. 472-489 [doi]
• SummQA at MEDIQA-Chat 2023: In-Context Learning with GPT-4 for Medical SummarizationYash Mathur, Sanketh Rangreji, Raghav Kapoor, Medha Palavalli, Amanda Bertsch, Matthew R. Gormley. 490-502 [doi]
• Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient ConversationsAsma Ben Abacha, Wen-wai Yim, Griffin Adams, Neal Snider, Meliha Yetisgen. 503-513 [doi]
• Transfer Learning for Low-Resource Clinical Named Entity RecognitionNevasini Sasikumar, Krishna Sri Ipsit Mantri. 514-518 [doi]
• IUTEAM1 at MEDIQA-Chat 2023: Is simple fine tuning effective for multi layer summarization of clinical conversations?Dhananjay Srivastava. 519-523 [doi]
• Care4Lang at MEDIQA-Chat 2023: Fine-tuning Language Models for Classifying and Summarizing Clinical DialoguesAmal AlQahtani, Rana Aref Salama, Mona Talat Diab, Abdou Youssef. 524-528 [doi]
• Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction FinetuningKirill Milintsevich, Navneet Agarwal. 529-535 [doi]
• DS4DH at MEDIQA-Chat 2023: Leveraging SVM and GPT-3 Prompt Engineering for Medical Dialogue Classification and SummarizationBoya Zhang, Rahul Mishra, Douglas Teodoro. 536-545 [doi]
• GersteinLab at MEDIQA-Chat 2023: Clinical Note Summarization from Doctor-Patient Conversations through Fine-tuning and In-context LearningXiangru Tang, Andrew Tran, Jeffrey Tan, Mark Gerstein. 546-554 [doi]