AI.Health4All Research
Research
Chicago Data-driven Opioid Screening, Evaluation, Treatment and Prevention (C-DOSETaP) Program
Principal Investigator:
Niranjan S. Karnik , MD, PhD
Department of Psychiatry, Chicago
Machine Learning Approaches for the Detection of Emergency Department Patients with Opioid Misuse
Principal Investigator:
Neeraj Chhabra, MD MSCR
Department of Emergency Medicine, Chicago
Postdoctoral Fellow: Chirag Chhablani, PhD
Exploring the Efficacy of AI Tools in Monitoring Mental Illnesses Through Social Media Engagement
Investigator:
Ranga Chandrasekaran, PhD
Department of Information & Decision Sciences
Virtual Experiences to Improve Health for All
Investigator:
Mohan Zalake, PhD
Department of Biomedical and Health Information Sciences
Fair and Interpretable Prediction of Alzheimer’s Disease and MCI using LLMs
Principal Investigator:
Natalie Parde, PhD
Department of Computer Science, Chicago
Sustainably improve pediatric healthcare through data-driven research and digital innovation.
Investigator:
Adam Cross, MD, FAAP, FAMIA
Department of Pediatrics, Peoria
Postdoctoral Fellow: Paul Landes, PhD
Utilize frontal chest radiography images (CXR) and AI in the form of convolutional neural network (CNN), we can accurately predict chronic disease (i.e. Type 2 diabetes).
Investigator:
Brian Layden, MD, PhD
Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Chicago
Postdoctoral Fellow: Lydia Lagari, PhD
Utilize AI and ML techniques to predict cancer incidence in patients by analyzing clinical and demographic features and leveraging radiomic features from CT chest radiographs.
Investigator:
Ameen Saludaheen, MD, PhD; Ryan Nguyen, DO
Division of Cardiology, Department of Medicine, Chicago; Division of Hematology and Oncology, Department of Medicine, Chicago
Design and implement AI-powered interventions for patients enrolled in the Hospital-at-Home program.
Investigator:
Masahito Jimbo, MD, PhD, MPH, FAAFP; Anwar Jebran, MD
Department of Family & Community Medicine, Chicago
Postdoctoral Fellow: Mohammad Arvan, PhD
Assess the needs, preferences, attitudes and potential challenges and facilitators of integrating AI into rural healthcare delivery.
Investigator:
Hana Hinkle, PhD, MPH
Department of Family & Community Medicine, Rockford
Postdoctoral Fellow: Kiruthika Balakrishnan, PhD
Leverage AI tools to address health differences in rural and urban communities
Investigator:
Sunita Dodani, MBBS (MD), FCPS, MSc, PhD, FAHA
Department of Medicine, Peoria
Postdoctoral Fellow: Babatope Ayokunle Ogunjesa, PhD
Develop an AI-based method that performs equally well across different population groups,with high accuracy in Aortic Stenosis diagnosis.
Investigator:
Kamran Avanaki, PhD; Hema Krishna, MD; Mayan Kansal, MD
Biomedical Engineering, Chicago; Division of Cardiology, Department of Medicine, Chicago
Postdoctoral Fellow: Chris Sevastopoulos, PhD
Utilize AI to improve imaging systems to better identify melanoma in all populations.
Investigator:
Maria Tsoukas, MD, PhD
Department of Dermatology, Chicago
Create a new generative AI model to analyze RPM data and researching experimental clinical workflows to provide fair solutions for blood pressure control.
Investigator:
Karl Kochendorfer, MD, FAAFP, FAMIA
Department of Family & Community Medicine, Chicago
Postdoctoral Fellow: Trust Odia, PhD
Generate robust early feedback signals for various trainee groups using AI/ML techniques.
Investigator:
Yoon Soo Park, PhD
Department of Medical Education, Chicago
Harnessing AI to Counter Medical Misinformation on Social Media
Investigator:
Ranga Chandrasekaran, PhD
Department of Information & Decision Sciences
Research Associate: Mohammad Sadiq T
Cancer Crowdfunding: An AI-Driven Investigation of Population Differences and Campaign Features
Investigators:
Ranga Chandrasekaran PhD, Ruma Bhowmik PhD, John Galvin MD,MS,MPH
Research Associate: Lokesh Bogavarappu
Application of Machine Learning Technology to Automate Thoracic Aorta Dimensions by Echocardiography
Investigator:
Hema Krishna, MD
Sleep Extension Intervention for Young Adults with Externalizing Disorders
Investigator:
Jenna Duffecy, PhD
Department of Psychiatry, Chicago
Postdoctoral Fellow: Katherine Seldin, PhD
Utilize AI tools to uncover unique factors and circumstances that may influence their pre and post-transplant progression.
Investigator:
Jorge Almario Alvarez, MD
Department of Surgery, Chicago
Postdoctoral Fellow: Hossein Haeri, PhD
Data-driven patient flow optimization aimed at reducing hospital crowding and improving health for all
Principal Investigator:
Tesfamariam Abuhay, PhD
Division of Academic Internal Medicine and Geriatrics, Chicago
Postdoctoral Fellow: Nisha Baral, PhD
Develop a computable clinical phenotype algorithm to identify Ehlers-Danlos Syndrome and estimate a population prevalence.
Investigator:
Rebecca Feinstein, MPH, MSW, PhD
Department of Psychiatry, Chicago
Postdoctoral Fellow: Mohammad Arvan, PhD
Leveraging innovative ML/AI methods to integrate multimodal omics and clinical data to advance precision health in diverse populations, with a focus on metabolic diseases and aging-related conditions
Principal Investigator
Yang Pan, PhD
Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Chicago
Postdoctoral Fellow: Zhijie Huang, PhD
Improving patient access to personal health records through secure, user-friendly, and personalized patient portals
Principal Investigator:
Rubina F. Rizvi, MD, PhD
Center 4 Health Research, Department of Medicine, Peoria
Integrating extensive histopathology and single cell spatial omics data from the Kidney Precision Medicine Project (KPMP) to investigate how clonal hematopoiesis of indeterminate potential (CHIP) contributes to chronic kidney disease (CKD) using innovative ML/AI approaches
Principal Investigator:
Tanika Kelly, MD, PhD
Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Chicago
Postdoctoral Fellow: Xiao Sun, PhD
Leveraging next generation AI models to address breast cancer health disparities in minority patients
Principal Investigator:
Ameen Saludaheen, MD, PhD
Division of Hematology and Oncology, Department of Medicine, Chicago
Utilize AI to improve imaging systems to better identify melanoma in all populations.
Investigator:
Maria Tsoukas, MD, PhD
Department of Dermatology, Chicago
Postdoctoral Fellow: Pradeep Bajracharya, PhD