Medical AI eXploration Laboratory
Welcome to the Medical AI eXploration (MAIX /mæks/ ) Laboratory at Emory University!
Our overarching goal is to empower health research with AI and engineering and to improve patient outcomes.
Latest News
08/01/2024 MAIX Lab received NINR R25 Grant
Congratulations to Drs. Sangmi Kim and Ran Xiao on receiving a National Institute of Nursing Research R25 grant to train researchers to use big data analytics and digital health technologies in intimate partner violence (IPV) research. One of the main challenges in IPV research is the difficulty of collecting reliable data from survivors, due to barriers such as stigma and shame. These barriers often result in small sample sizes and insufficient statistical power, which limit the ability to analyze data for subgroups of underrepresented women. Drs. Kim and Xiao will develop a specialized course to equip researchers with advanced skills to handle complex datasets and develop scalable, proactive digital interventions. Apply for the program here.
05/30/2024 MAIX Lab received Georgia CTSA BERD Grant
The MAIX lab has received a grant from Georgia CTSA to develop innovative AI algorithms for early risk assessment of acute coronary syndromes in prehospital settings. The award is for a one-year pilot to generate crucial preliminary results for future large-scale studies.
05/07/2024 PI Dr. Ran Xiao received the Faculty Mentor Award
Dr. Xiao was awarded the Faculty Mentor Award at NHWSN Faculty & Staff Awards Luncheon for recognizing his dedication to mentoring SON student Weijia Wang in the Honor program.
Under Dr. Xiao's guidance over the past two years, Weijia has developed significant research skills by working with our interdisciplinary team of engineers and clinicians, focused on advancing AI solutions for monitoring Atrial Fibrillation (AF) using wearable devices.
Her accomplishments in the Honors Program include receiving the Sigma Theta Tau Award at the 2023 NHWSON Scholars’ Day, presenting a poster at the 30th Annual Cardiovascular Nursing Symposium, publishing one journal article, and preparing another for submission. These achievements have enabled her to graduate with the “highest honors” and prepare her to be a next-generation nurse who is well-versed in both the potential and the limitations of AI technologies in healthcare, as AI continues to transform healthcare.
04/04/2024 PI Dr. Ran Xiao gave a tutorial at the ISCE conference
Dr. Xiao was invited to give a tutorial at the annual International Society for Computerized Electrocardiography (ISCE) conference in Braselton, GA. The tutorial talk is titled "The Role of Bedside Telemetry: From Diagnosing Arrhythmia to Predictive Models of Patient Instability", which provides an overview of current applications of bedside telemetry within modern healthcare environments, and sheds light on the opportunities and considerations for the development and implementation of algorithms analyzing telemetry data to optimize the efficacy and practical use of bedside telemetry in clinical settings.
Archived News- 2023
09/10/2023 PI Dr. Ran Xiao won FIT'NG Young Investigator Award
Dr. Xiao participated in the annual Fetal, Infant, and Toddler Neuroimaging Group (FIT’NG) conference in Santa Rosa, California. He presented EEGWISE: An EEG Workflow Improvement and Signal Enhancement toolbox for developmental EEG data. This work won him the FIT'NG Young Investigator Award.
08/27/2023 Research Assistant Johnathan Won Second Place in Match's Internal Engineering Week Hackathon
Lab Member Johnathan Zhang Participated in Match's Internal Engineering Week hackathon, and won second place out of 11 competing teams! Johnathan collaborated with two other engineers to create an internal testing tool under the Dev QOL category (enhancing developers’ quality of life). Their focus centered on creating a project that enables QA developers to seamlessly authenticate and log into Match’s iOS app via deep links for any and all test accounts in QA environments. The goal was to reduce QA testing time for pre-production app releases. The project was carried out in a combination of Swift, SQL, C#, and HTML.
04/25/2023 Weijia won the Sigma Theta Tau Award on NHWSON Scholars' Day
Undergraduate Research Assistant Weijia Wang presented our work "Establishing a large-scale labeled PPG database from bedside monitor data for AI-based detection of atrial fibrillation" at the NHWSON Scholars' Day at Emory. She won the Sigma Theta Tau Award to recognize her contribution to the study. Congratulations!
04/18/2023 New study published in Physiological Measurement
PI Dr. Ran Xiao and colleagues published a journal article titled "Integrating multimodal information in machine learning for classifying acute myocardial infarction" on Physiological Measurement. In the study, Dr. Xiao proposed a novel multimodal deep learning architecture to learn joint features from both ECG and patient demographics and demonstrated improved performance for classifying acute myocardial infarction over a single data modality as input. The findings in this study help guide the development of ML solutions for prompt MI detection and move the models one step closer to real-world clinical applications. Please find more about the study here.
03/31/2023 PI Dr. Ran Xiao attended the ISCE Annual Conference
Indian Wells, CA
PI Dr. Ran Xiao attended the annual conference of the International Society for Computerized Electrocardiology (ISCE). During the conference, he served as the poster session chair. He presented his work at the conference with a poster titled "In Search of the Optimal ECG Input Architecture for Deep Learning-Based Prediction of Acute Myocardial Infarction", which evaluates the impact of input layer architecture on the neural network’s overall performance for the classification of acute myocardial infarction.