AI for Reliable and Equitable Evidence Generation in Medicine

International Workshop on Advances in Generating Real-World Evidence from Real-World Data Using Artificial Intelligence

July 12th, 2024 – Salt Lake City, UT, USA

RWE-AI

We are thrilled to welcome you to RWE-AI, a groundbreaking event dedicated to the exploration of artificial intelligence’s transformative role in generating real-world evidence from real-world data in healthcare. 

Join us to navigate through the current advancements and the future prospects of AI-driven healthcare technology.

Check the RWE-AI detailed program:

Overview

This workshop aims to promote modern approaches for real-world evidence (RWE) generation, share best practices, and address potential challenges in using artificial intelligence (AI) to analyze real-world data (RWD).

Our goals are to foster collaboration among researchers, practitioners, and healthcare professionals, highlight the latest advancements in AI-driven RWE generation, and explore innovative solutions to overcome obstacles in the field.

Format

The workshop will comprise two sessions divided by a 15-minute networking coffee break. At the end of the second session, a 15-minute discussion will be led by the workshop co-chairs to summarize the workshop findings, to have presenters to answer any additional questions, and to plan future directions.

Call for submissions

Publication

A subset of articles will be considered for submission to Journal of Healthcare Informatics Research (impact factor 5.9).

An expanded commentary based on the workshop proceedings has been commissioned by the Lancet eBioMedicine (impact factor 10.2).

Key dates

  • Submission open

    April 4th, 2024

  • Submission deadline

    June 1st, 2024

  • Notification of acceptante

    June 11th, 2024

  • RWE-AI Workshop

    July 12th, 2024

(*) All times are Mountain Time (MT). The Mountain Time Zone refers to time zone which observes time where seven hours are subtracted from GMT (UTC/GMT -7).

Review process

The submissions will be reviewed on a rolling basis. Review results are expected to be communicated within 10 days after submission.

Topics

  • Leveraging AI algorithms for understanding disease progression patterns, treatment trajectories, and clinical decision-making by analyzing large and complex RWD datasets. 
  • AI models analyze patient behavior based on RWD to generate insights into patient adherence, lifestyle choices, and treatment preferences to help optimize interventions and personalize care. 
  • AI-Driven Electronic Patient Phenotyping Based on RWD Characteristics to Uncover Latent Disease Subgroups.  
  • AI Algorithms for matching patients to appropriate clinical trials based on their EHR profiles to improve trial efficiency and patient outcomes. 
  • Evaluating the safety and effectiveness of treatments over extended periods, monitoring adverse events, treatment outcomes, and real-world effectiveness using AI-driven analyses of RWD. 
  • AI approaches for generating regulatory-grade synthetic control arms for clinical trials from RWD for evaluating treatment efficacy when randomized controlled trials (RCTs) are not feasible. 
  • AI-assisted design of adaptive clinical trials supporting dynamic trial modifications based on real-time data to allow efficient adjustments during the trial, enhancing evidence generation. 
  • AI approaches to support continuous RWD screening for adverse events, detecting safety risks early, enabling timely risk assessment and benefit evaluation. 
  • Demonstrating the real-world impact of therapies compared to alternatives and aiding decision-making using AI RWD analyses. 
  • Using biomedical ontologies and knowledge databases to facilitate AI-driven analyses of RWD. 
  • Intelligent informatics integration of heterogeneous multimodal RWD sources (e.g., EHRs, genomics, wearables)  to ensure seamless data linkage and interoperability across systems, development of robust data exchange standards, APIs, and interoperable platforms for RWE generation. 
  • Automated generation of RWE by AI-assisted live meta-analysis of existing clinical trial results. 
  • Role of natural language processing and large language models in generating RWE from RWD. 
  • Processing and analyzing streaming data in near-real time by leveraging stream processing frameworks (e.g., Apache Kafka, Flink) and adaptive algorithms. 
  • Combining RWE with randomized controlled trials (RCTs) or employing causal inference methods (e.g., propensity score matching, instrumental variables) to generate RWE. 

Submission guidelines

TeleHealth-AI features 2 types of submissions (papers and posters), each one should be submitted as a PDF file using our Easychair page and following the further instructions:

1. Full papers:

  • Main paper up to 10 pages, including references; appendix up to 10 pages, maximun of 20 pages in the final file. 
  • Papers should be formatted according to Springer’s LNCS format. Authors can include an appendix that does not count towards the page limit, however there is no guarantee that reviewers will read it. 
  • Authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word, for the preparation of their papers.

2. Short papers:

  • Main paper up to 5 pages, including references.
  • Should include abstract, introduction, methods, results, discussion, conclusions and references.
  • Arial or Times New Roman size 11 are recommended fonts for submissions.
  • Figure and/or tables can be included, the number and position of these are on the discretion of authors. 
  •  

3. Posters:

  • 1 to 2 pages consisting of a structured abstract
  • The structured abstract comprises background, methods, results, discussion and references.
  • Arial or Times New Roman size 11 are recommended fonts for submissions.
  • Figure and tables can be included in the structured abstract, the number and position of these are on the discretion of authors.

Accepted structured abstracts will be presented at the poster sessions, and must follows the further:

  • Posters should not exceed 48 inches wide by 48 inches tall.  
  • Presenters must provide their own poster printed on paper or cloth.
    •  Should you need assistance with directions for printing a poster in Salt Lake City, please email cmcfadden@conferences.utah.edu
  • Boards on easels with push pins or binder clips will be provided. 

Organization

Workshop co-chairs

Professor and Director of the Informatics Core in the Institute of Clinical and Translational  Research at the University of Maryland

Director of the Center for Biomedical Informatics and Biostatistics at the University of Arizona Health Science

Professor and Deputy CIO of Health Systems and Research Analytics at the Weill Cornell Health

Professor and Head of the Complex Data Analytics Lab at Ben Gurion University

Vice dean for research, Professor, and Head of the Research Institute at the Faculty of Health Sciences, at the University of Maribor

Professor and Vice-Chair for Clinical Data Science and Telemedicine Informatics at the University of Utah

Scientific Paper Program Committee

  • Enea Parimbelli, PhD, Assistant Professor, Università di Pavia, Pavia, Lombardy, Italy. 
  • Shinya Sonobe, MD, PhD, Assistant Professor, AI Lab, Tohoku University Hospital, Sendai, Japan. 
  • Julio Facelli, PhD, FACMI, Professor at the Department of Biomedical Informatics at the University of Utah, UT, USA.  
  • Yi Zhou, PhD, Assistant Professor at the Department of Electrical and Computer Engineering at the University of Utah, UT, USA. 
  • Jeffrey Ferraro, PhD, Research Assistant Professor, Department of Epidemiology, University of Utah School of Medicine, UT, USA. 
  • Fatemeh Shah-Mohammadi, PhD, Assistant Professor at the Department of Biomedical Informatics at the University of Utah, UT, USA. 
  • Yue Zhang, PhD, Research Associate Professor, Division of Epidemiology, University of Utah School of Medicine, UT, USA.

Program

The full program is available in this LINK.

All times are Mountain Time (MT). The Mountain Time Zone refers to time zone which observes time where seven hours are subtracted from GMT (UTC/GMT -7).

For VISA request procedure please follow this LINK.

Registration

RWE-AI 2024 is being held in conjunction with the AIME 2024.

Participants have the flexibility to register solely for the RWE-AI workshop or opt for a combined registration that includes both the AIME main conference and the RWE-AI workshop.