SESSION 165: <br/>Health data science and artificial intelligence
MedInfo 3
| Saturday, July 8, 2023 |
| 1:15 PM - 2:45 PM |
| C4.4 |
Overview
C4.4
Panels
Panels
Details
This session contains two 40 minute panels.
Panel: Responsible artificial intelligence for healthcare applications: We need it nowSpectacular advances in artificial intelligence algorithms, and the fast growth in “real world” data available in electronic form offer tremendous opportunity in healthcare quality, efficiency, and accessibility improvement in a growing variety of applications. But this game changing progress also causes growing concerns about its effects and unintended, unanticipated, or even intentionally unethical consequences. Multiple issues and limitations of the algorithms and data used have become increasingly visible and several authors and organizations have proposed advice and guidelines to help address these concerns, issues, and limitations. The concept of Responsible AI is now promoted by several important organizations and stakeholders in the AI industry. This panel will address several key aspects of responsible AI: explainability and interpretability; justice and fairness; reusability and efficiency; privacy and confidentiality protection.
Panel: Methods and applications of biomedical natural language processing across languages and institutions
Through this panel, we would like to introduce our methodological efforts in applying natural language processing (NLP) to the clinical domain, and showcase our real-world NLP applications in clinical practice and research across three countries with different languages and five institutions with diverse healthcare systems. We will review NLP techniques in solving clinical problems and facilitating clinical research, the state-of-the art clinical NLP tools, and share collaboration experience with clinicians, as well as publicly available EHR data and medical resources, and finally conclude the tutorial with vast opportunities and challenges of clinical NLP. The panel will provide an overview of clinical backgrounds, and does not presume knowledge in medicine or health care.
Speaker
Dr Sankalp Khanna FAIDH
Team Leader - Health Intelligence
Australian e-Health Research Centre, CSIRO
Session chair
Biography
Sankalp Khanna is a Principal Research Scientist and leads the Health Intelligence team at the CSIRO Australian e-Health Research Centre. His research is focused on applying Artificial Intelligence and Machine Learning techniques to model, analyse, predict, simulate and optimise patient flow through Australian public hospitals and develop explainable algorithms for delivering decision support that clinicians can interpret and trust. Solutions developed by Sankalp have helped reshape workflow and policy in hospitals in Australia and overseas. Sankalp is also Adjunct Associate Professor at the Queensland University of Technology and Griffith University, the Secretary of the Pacific Rim International Conference on Artificial Intelligence (PRICAI) Steering Committee, and a founding Fellow of the Australasian Institute of Digital Health.
Dr Ronald Cornet
Associate Professor
Amsterdam UMC
Panel: Responsible artificial intelligence for healthcare applications: We need it now
1:15 PM - 1:55 PMBiography
Ronald Cornet holds a position as associate professor, principal investigator and principal educator at the department of Medical Informatics in the Amsterdam Public Health research institute, Amsterdam UMC.
Dr John Holmes
Professor of Medical Informatics in Epidemiology
University of Pennsylvania
Panel: Responsible artificial intelligence for healthcare applications: We need it now
1:15 PM - 1:55 PMBiography
In addition to his professorship in the DBEI, Dr. Holmes is the Associate Director of the Institute for Biomedical Informatics, Director of the Master’s Program in Biomedical Informatics, and Chair of the Doctoral Program in Epidemiology, all at Penn. Dr. Holmes leads studies of novel analytic methods informed by statistics and artificial intelligence as they apply to interactions between people and environments in space and time.
Prof Christoph Lehmann
Associate Dean
UT Southwestern Medical Center
Panel: Responsible artificial intelligence for healthcare applications: We need it now
1:15 PM - 1:55 PMBiography
Dr Lehmann is the Associate Dean of Clinical Informatics, the Willis C. Maddrey MD Distinguished Professor in Clinical Sciences and Professor for Pediatrics, Population and Data Sciences, and Bioinformatics at UT Southwestern where he directs the Clinical Informatics Center.
Dr Stephane Meystre
Scientific Director
OnePlanet Research Center
Panel: Responsible artificial intelligence for healthcare applications: We need it now
1:15 PM - 1:55 PMBiography
Dr Meystre is Scientific Director for data science, AI and data platforms at the OnePlanet research center in the Netherlands. He was Professor of Biomedical Informatics at the Medical University of South Carolina and focused an important part of this research activities on unstructured clinical data de-identification for privacy protection.
A/Prof Buzhou Tang
Associate Professor
Harbin Institute of Technology
Panel: Methods and applications of biomedical natural language processing across languages and institutions
2:05 PM - 2:45 PMBiography
Dr Tang is an Associate Professor in the Department of Computer Science at Harbin Institute of Technology (Shenzhen). He also serves as the Deputy Director and Secretary-General of Medical, Health and Biological Information Processing Technical Committee of CIPS (Chinese Information Processing Society of China). Dr Tang’s research interests include Natural Language Processing (NLP), Machine Learning, Clinical Decision Support System and Multimodal Data Analysis. His research is funded by the National Natural Science Foundation of China (NSFC) and National Key Research and Development Program of China.
Prof Yonghui Wu
Associate Professor
University of Florida
Panel: Methods and applications of biomedical natural language processing across languages and institutions
2:05 PM - 2:45 PMBiography
Yonghui Wu, PhD is an Associate Professor in the Department of Health Outcomes and Biomedical Informatics at the University of Florida (UF) College of Medicine. He also serves as the Director of Natural Language Processing (NLP) at UF Clinical and Translational Science Institute (CTSI) and OneFlorida Clinical Research Consortium. His research is funded by the US NIH, PCORI, and CDC. His research has contributed substantially to clinical and biomedical NLP – including information extraction from clinical notes, Word Sense Disambiguation, clinical language models; predictive modeling for drug adverse reactions and drug new indications (known as drug repurposing); and various applications to apply NLP and machine learning to solve clinical and translational problems.
Dr Hua Xu
Professor
Yale University
Panel: Methods and applications of biomedical natural language processing across languages and institutions
2:05 PM - 2:45 PMBiography
Hua Xu, PhD, FACMI is a Professor at Yale University School of Medicine. He has worked on different clinical NLP topics, including syntactic parsing, word sense disambiguation, and active learning and has built multiple clinical NLP systems including the medication information extraction tool MedEx and a recent comprehensive clinical NLP system CLAMP. Dr Xu served as the Chair of AMIA NLP working group between 2014-2015. He taught NLP tutorials at various conferences such as AMIA, Medinfo, AIME etc.
A/Prof Rui Zhang
Division Chief of Computational Health Sciences
University of Minnesota
Panel: Methods and applications of biomedical natural language processing across languages and institutions
2:05 PM - 2:45 PMBiography
Rui Zhang, PhD is associate professor and Division Chief of Computational Health Sciences at the University of Minnesota. His research interests include the secondly analysis of EHR data for patient care as well as pharmacovigilance knowledge discovery through mining biomedical literature.
Prof Gayo Diallo
Full Professor in Computer Science & Digital Health
Bordeaux Population Health, University of Bordeaux
Panel: Methods and applications of biomedical natural language processing across languages and institutions
2:05 PM - 2:45 PMBiography
Gayo Diallo, PhD, is a Full Professor in Computer Sciences/Digital Health at the Bordeaux Population Health Research Center, joined between the University of Bordeaux in France and the INSERM national research center. He serves as the coordinator of the Informatics core of the Public Health Data Sciences graduate program and deputy director of the AHeaD research group, a multidisciplinary research group with computer scientists/health informatics specialists, pharmacovigilance experts, and medical doctors. His research interests include an AI-based approach for heterogeneous healthcare data and knowledge management and ICT for societal Development.
