CCADD, led by Professor Howard Lee, attended the 2026 Spring Conference of the Korean Society of Medical Informatics (KOSMI). The conference was held over three days, from June 24 to June 26, 2026, at OSCO in Cheongju and co-hosted by KOSMI and the Korea Health Industry Development Institute (KHIDI). This year’s theme was “From Operating System to Operating Society: Next Mission of Medical Informatics.” The sessions focused on artificial intelligence (AI) and large language models (LLMs) in medical informatics. Topics ranged from trustworthy medical AI to lifelog analysis and digital healthcare.

David Seung U Lee, a postdoctoral researcher at CCADD, gave an oral presentation in Session 2 (LLM-based Clinical Decision Support) on “DDI-Expert: Explainable Prediction of Pharmacokinetic Drug Interaction in Humans using Mixture of Experts.” His work moves beyond the limits of conventional drug–drug interaction (DDI) prediction. Using a Mixture of Experts (MoE) architecture that combines domain adaptation with domain application, it predicts pharmacokinetic DDI outcomes while also explaining their underlying mechanisms.

Yujin Kim, a student at CCADD, presented in the e-poster session (Generative AI and Clinical Text) on “Information Extraction and Structuring from Drug Approval Review Reports Using Large Language Models.” Her study introduced a pipeline that accurately extracts and structures information from drug approval review reports, which often have complex, multi-table layouts, while keeping costs low and performance high. The work covered the full process from model adaptation to evaluation.

Both presentations were well received at the conference. David Seung U Lee received the Best Oral Presentation Award, and Yujin Kim received the Best Poster Award. The awards mark another step in CCADD’s continued efforts to advance medical informatics through LLMs and AI-based approaches. CCADD will continue its research toward reliable and practical AI applications in healthcare and drug development.

David Seung U Lee, a Ph.D. student at CCADD, and Seeun Park, an undergraduate researcher and the soon-to-be Master’s student at CCADD, received the Outstanding Presentation Awards at the 2025 Fall Conference of the Korean Society of Medical Informatics (KOSMI).

David presented his study titled "Improving Large Language Model-Based Drug-Drug Interaction Prediction Using Conformal Prediction." His research demonstrated that incorporating input features with coverage guarantees, verified through conformal prediction, significantly improves the performance of LLM-based DDI prediction in both in-context learning and fine-tuning settings.

Seeun Park, presented her study titled “Improving Synthetic Clinical Note Generation via Expert Prompting Reflecting Linguistic and Structural Characteristics.” Her research proposes a data augmentation framework that incorporates the knowledge of medical professionals into LLM-based prompting, coupled with a feedback-driven iterative generation loop. This approach enables the model to produce synthetic clinical notes that more closely reflect the characteristics of real-world clinical notes.

These awards highlight the growing importance of LLMs in the healthcare industry and recognizes the potential impact of our work in advancing AI-driven medical text generation.

CCADD members attended the 2025 Fall Conference of the Korean Society of Medical Informatics(KOSMI), held from November 23 to 24 at Songdo Convensia in Incheon. With the theme “Generative AI in Healthcare Systems: From Insight to Impact,” the conference showcased the latest developments, real-world applications, and future opportunities for generative AI in healthcare. Major sessions explored LLM evaluation, LLM-based clinical ation and validation, and AI-driven prediction of neurological disorders.

The conference featured keynote lectures from leading experts in Korea and Taiwan. Professor Sang-Hoon Jeon from Seoul National University Bundang Hospital discussed initiatives aimed at reducing global healthcare disparities, including the establishment of a Global Smart Hospital Network and the development of cloud-based platforms for clinician education and severe disease consultation. He emphasized that the key challenge is not merely how AI can reduce healthcare disparities, but how quickly high-quality medical services can reach those who are waiting for them. Professor Ming-Chin Lin from the College of Medicine at Taipei Medical University addressed the shared challenges facing both Korea and Taiwan—rapid population aging, declining birth rates, and increasing strain on healthcare professionals. He introduced Ambient Intelligence as the next evolution beyond ambient recording and traditional AI systems: a context-aware, ethically governed, sensor-integrated healthcare environment designed to support clinicians and empower patients.

More importantly, CCADD delivered five oral presentations.

David presented his work on “improving the performance of drug interaction prediction using conformal prediction”, which delved into a new method of selecting input for LLM-based prediction module using the statistical framework. 

Yujin presented her work on “Constructing a Domain-Specific Korean–English Parallel Corpus and Dictionary for Medical Translation Using a Large Language Model,” which aims to improve the reliability and consistency of LLM-based medical translation. By introducing a large-scale corpus construction framework, she provided foundational resources that can support future research in the field. During the session, she exchanged insights with reviewers and fellow researchers and explored ways to further expand and deepen the study.

Suhyun An presented her research on “Investigating LLM-based Reasoning and Training Strategies for automating causality assessment of adverse drug reactions”. Her study systematically explored optimal reasoning strategies and training methods to enable large language models to emulate the clinical decision-making process of medical experts.

Seoyoon Jang presented her work on "LLM-Based Extraction of Adverse Events from Real-World Clinical Notes", which leveraged open-source LLMs to build a privacy-preserving and robust framework capable of extracting adverse events from real-world clinical notes.

Seeun Park presented her work titled “Improving Synthetic Clinical Note Generation via Expert Prompting Reflecting Linguistic and Structural Characteristics”. Her research proposed a new synthetic data-augmentation framework that captures the characteristics of real-world clinical notes, demonstrating its potential to support large-scale, high-quality synthetic datasets for AI training.

Through this conference, CCADD members reaffirmed that their research aligns with the current interest in the generative AI, which will play a pivotal role in advancing the healthcare industry. The event strengthened our commitment to pursuing impactful research and contributing to the development of next-generation AI-driven healthcare systems.

CCADD members attended the 2025 Spring Conference of the Korean Society of Medical Informatics (KOSMI), held from June 22 to 24 at the Busan Port International Exhibition & Convention Center. Under the theme “AI and Human Collaboration in the Age of Generative AI,” the conference brought together experts from medicine, engineering, law, and industry to discuss the latest developments and practical applications in medical informatics.

Key topics included strategies to automate workflows involving electronic medical records (EMRs) , such as methods using large language models (LLMs), strategies for utilizing MyData in healthcare, integration of genomic and spatial biology data for precision medicine, the potential of quantum computing in medicine, and AI-driven clinical prediction and decision support systems (CDSS).

In the keynote speech, Prof. Adrian Zai of UMass Chan Medical School delivered a presentation titled “Steering the Future of Medicine: Human-Centered AI in the Generative Age.” He emphasized the importance of moving beyond what AI can do, toward how its impact should be directed in clinical settings. He highlighted human-centered design, ethical oversight, and global collaboration as essential to ensuring AI truly supports care delivery.

Dr. Yoona Choi, a former member of CCADD and now a research professor at Seoul National University Hospital's Child Cancer and Rare Disease Project, presented her work on developing an LLM-based computable phenotype for pediatric lymphoma subtypes. The model leverages structured and unstructured EMR data—such as pathology reports and genetic test results—to improve classification accuracy based on real-world clinical data.

Prof. Howard Lee, Founding Director of CCADD and CEO of the digital health startup PMATCH, introduced PillTalk, a mobile app that allows patients to independently check drug–drug interactions using public data made available by the Ministry of Food and Drug Safety. The app provides AI-powered, accessible information to help patients make safer medication decisions. Prof. Lee emphasized that public pharmaceutical datasets can be transformed into practical, patient-centered tools to enhance medication safety.

Through this conference, CCADD members were able to reflect on the essential role of interdisciplinary collaboration and responsible innovation in leveraging digital technologies to advance patient-centered care.

CCADD attended the 2023 Fall Conference of the Korean Society of Medical Informatics (KoSMI) held at HIP(Healthcare Innovation Park) of Seoul National University Bundang Hospital, South Korea. The conference spanned three days from November 29th to December 1^st, both online and offline. Aligned with the theme "Beyond Data: Actionable Health AI", the conference featured 27 symposiums covering various topics, from artificial intelligence in the healthcare to standardization of medical data and digital health.

The first day was conducted online. Particularly, ”Symposium 6: Development of Predictive Models for Cardiovascular Diseases Using Medical Big Data” was noteworthy, where Prof. Howard Lee served as the session chair and speaker, attracting significant attention from the audience with the presentation on ”Improving the Performance of Machine Learning Models for Predicting Acute Coronary Syndrome in Type 2 Diabetes Patients through Substitution of Propensity Scores for Binary Variables”. Also, throughout the conference, the poster presentation was led by David Seung U Lee.

On the second day, each symposium delved into topics of medical data and artificial intelligence applications to the healthcare domain. Themes included "Strategies for the Activation and Commercialization of AI-Based Drug Development" and "Smart Curation of Medical Data: Approaches for Preparing for the Utilization of Medical AI." This encompassed insights into the industry's latest strategies for drug target exploration. In Symposium 9, Dr. Siun Kim delivered a presentation on ”Addressing the challenges of data scarcity and bias of AI-based drug development”. The discourse extensively covered specific manifestations of data scarcity and proposed strategies for mitigation within drug development.

During the final day, the symposiums provided an opportunity to approach the trends in the utilization and data processing methods of developing LLM. Participants delved into the practical approaches for utilizing Real-World Data (RWD) in regulatory decision-making, replicating Randomized Controlled Trials (RCT), and employing common data models. CCADD members exchanged ideas with fellow researchers studying similar research topics, offering a valuable opportunity to comprehend ongoing research trends. It was an insightful symposium for healthcare information researchers to share and discuss the latest trends in research.

Prof. Howard Lee gave a talk at an invited symposium in association with the Annual Conference of the Korean Society of Medical Informatics (KoSMI), held both online and offline on November 29, 2023. The title of his presentation was ‘Performance Increase of the Machine Learning Model to Predict Acute Coronary Syndrome in Patients with Type 2 Diabetes Mellitus by Replacing Binary Variables with Propesnsity Score’. This presentation was a culmination of a research project with the same title supported by the Seokcheon Foundation, 2023, where the current and former CCADD graduate students, namely David Seung U Lee, Jung-Hyun Won, and YeSol Hong collectively contributed by proposing a new novel way to address the falseness of binary feature in the electronic medical records. Prof. Lee's speech was well received by the audience evidenced by 6 follow-up questions! The more detailed methodological aspect of Prof. Lee' talk was presented in an accepted poster led by David Seung U Lee.  

CCADD attended this year's highly anticipated biennial conference hosted by the Korean Society of Medical Informatics (KOSMI). Held at Keimyung University Dongsan Hospital in Daegu, South Korea, the conference spanned two insightful days, supplemented by a three-hour tutorial program.

Under the theme of "Revolution and Innovation in Smart Healthcare," the event delved into an array of captivating topics. Attendees had the privilege of exploring groundbreaking subjects, including the "Application of Large Language Models in Healthcare" and the "Utilization of ChatGPT and Natural Language Processing Models in Medical Research."

Throughout the conference, CCADD seized every moment to absorb valuable lessons. The gathering also served as a catalyst for expanding perspectives and engaging in constructive discussions at this pivotal juncture in the realm of medicine and healthcare. With powerful technologies like ChatGPT emerging, the field is undoubtedly experiencing a wind of change, and KOSMI's conference provided a unique platform to address the challenges and opportunities presented by these advancements.

YeSol had the honor to deliver oral presentation and won the Excellent Research Award at 2022 fall conference hosted by the Korean Society of Medical Informatics(KOSMI). YeSol has presented her work entitled "Effectiveness and safety of sodium-glucose cotransporter-2 inhibitors(SGLT2i) added to mono, dual or triple treatment in patients with type 2 diabetes mellitus(T2DM)". She discussed the additive efficacy in glycemic control and the tolerability of SGLT2i in T2DM patients when combined with other antihyperglycemic agents, such as metformin, sulfonylureas, and dipeptidyl peptidase-4 inhibitors using real-world data. Yoona Choi, TaeKyu Chung, and Yoomin Jeon also contributed to this study as co-researchers, with Professor Howard Lee serving as the principle investigator.

The conference was a three-day event (from Nov 23rd, 2022 to Nov 25th, 2022) and was held at The International Convention Center, Jeonbuk National University, Jeonju, Jeonbuk, South Korea. This conference, the host(KOSMI) organized the event around the theme, "The Power and Value of Healthcare Data Linkage". The conference was full of enlightening speeches that reflected the progress made in the field of medical informatics. With a total of 1,039 participants, this conference was held on the largest scale ever among KOSMI conferences.