Exploring the practicalities and nuances of interacting with Large Language Models (LLMs) programmatically.
Dive into the world of QRS*, where cardiac rhythms meet cutting-edge simulation. Forget Q*’s quest for AI supremacy – here, we’re revolutionizing how we view...
Continuing our journey to understand Apple’s VO2 max estimation algorithm, by getting workout data.
I had the distinct pleasure of joining the vibrant community at WPI Business School for a conversation that took us to the crossroads of technology and healt...
Can we build tools to help with the algorithmic way of assessing hyponatremia?
Leveraging personal HealthKit data to evaluate and understand Apple’s VO2 max estimation algorithm.
Analyzing how airlines have come and gone over the past century.
Exploring the motivation behind using iframes OR how to seamlessly integrate the internet into your blog.
Perfect Timing for Talks!
Joined the International Association of Medical Science Educators (IAMSE) for 2023 webinar series on artificial intelligence in medical education. Dr. Cornel...
CI/CD automation isn’t just for large-scale projects; it’s a game-changer for individual programmers. I’ve started using the power of GitHub Actions to impro...
Presentation at Machine Learning for Healthcare 2023 in New York on our work on rank-based compatibility. During the conference I presented a brief spotlight...
A simple hangman game. Made with chatGPT.
Presentation at INFORMS Healthcare 2023 on our work on rank-based compatibility. You can find a link to the post about the upcoming paper here.
A simple QR code generator that you can use to make QR code embeded with the strings of your dreams! I made this for a series of presentations I gave. It ena...
As machine learning models become more integrated into clinical care, how can we update them without violating user expectations? We proposed a new rank-base...
New blog, who dis?
Collaborative for Human Factors discussion on artificial intelligence, ChatGPT, and applicable research.
Panel discussion on AI in health professions education.
RISE Virtual Talking Circle: Innovations in Machine Learning and Artificial Intelligence for Application in Education
University of Michigan Medical School RISE (Research. Innovation. Scholarship. Education) virtual talking circle discussion with Dr. Cornelius James.
Discussed my recent perspective paper on incorporating AI into medical education with Dr. James Woolliscroft and Katie Palmer of STAT News. Check out the ful...
New article out in Cell Reports Medicine. It is a perspective paper on incorporating AI into medical education with Drs. Cornelius A. James, Kimberly D. Lom...
Global Surgical Education. Can be found here.
Was featured in the University of Michigan Department of Industrial and Operations Engineering promotional video.
Prospective evaluation of data-driven models to predict daily risk of Clostridioides difficile infection at 2 large academic health centers
Infection Control and Hospital Epidemiology. Can be found here.
Discussed our recent JAMIA paper on predicting return to work with Jessalyn Tamez. Check out the news brief here.
Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations
Journal of the American Medical Informatics Association manuscript, can be found here.
This is an augmented reality (AR) demo using Apple’s Augmented Reality tools. The 3D asset is a USDZ file created by Apple (they own all rights to it). It is...
A project that was focused on examining and improving the way doctor’s notes are written.
This a foundational post that has two aims. The first is to demystify machine learning which I believe is key to enabling physicians and other clinicians to ...
If you see something, say something.
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
British Medical Journal. Can be found here.
This is going to be a short post because the last one about EHR front-ends was about 3 times longer than I had originally planned for it to be.
I have a love-hate relationship with electronic health records (EHRs). This relationship first started in the early 2000s at a high school sports physical an...
Development and Validation of Models to Predict Pathological Outcomes of Radical Prostatectomy in Regional and National Cohorts
The Journal of Urology article, read here.
A lot of aviation videos show up on my YouTube feed (thank you, DarkAero team). A video that popped up recently was about the Boeing B-52 Stratofortress (B-5...
One of the nice things about being an MD-PhD student at a research institution with a large academic medical center is that you tend to have a lot of support...
This is a reformatted version of a twitter thread I had put together nearly a year ago. In a former life I worked on designing the manufacturing system for c...
ecently I came across some interesting behavior in Microsoft Word. While scrolling through a document I noticed that my pointer had flipped. Instead of seein...
<!DOCTYPE html> Wordle Solver by eotles
Let’s talk about Wordle.  You, like me, might have been drawn into this game recently, courtesy of those yellow and green squares on twitter. The rules ar...
Panel discussion on what is important for clinicians to know and how confident they can be when using these AI tools. Conversation with Drs. Rada Mihalcea, M...
Shared an overview of my research during the 2021 University of Michigan Department of Industrial and Operations Engineering recruiting weekend.
Comparative Assessment of a Machine Learning Model and Rectal Swab Surveillance to Predict Hospital Onset Clostridioides difficile
IDWeek Abstract. Can be found here.
Journal of Surgical Education. Can be found here.
Journal of Surgical Education. Can be found here.
JAMA Network Open. Can be found here.
Arun Shashtri of Forbes covered our JAMA IM Epic Sepsis Model evaluation paper. Check out the article.
INFORMS conference talk focused on dynamic machine learning for medicine. Based on Joint work with Jon Seymour, MD (Peers Health) and Brian Denton PhD (Unive...
Using Natural Language Processing to Automatically Assess Feedback Quality: Findings From 3 Surgical Residencies
Academic Medicine. Can be found here.
Invited to give a talk for the 2021 University of Michigan Center for Healthcare Engineering and Patient Safety (CHEPS) fall seminar series. Discussed engine...
Jeeheh Oh and I presented our work on dataset shift at the 2021 Machine Learning for Healthcare Conference. This talk briefly summarizes our our conference p...
Evaluating a Widely Implemented Proprietary Deterioration Index Model among Hospitalized Patients with COVID-19
Annals of the American Thoracic Society. Can be found here.
Our 2021 Machine Learning for Healthcare Conference paper! It discusses a special kind of dataset shift that is particularly pervasive and pernicious when de...
The Washington Post: Sepsis prediction tool used by hospitals misses many cases, study says. Firm that developed the tool disputes those findings.
Erin Blakemore of The Washington Post covered our JAMA IM Epic Sepsis Model evaluation paper. Check out the article.
Nicole Wetsman of The Verge covered our JAMA IM Epic Sepsis Model evaluation paper. Check out the article.
Tom Simonite of WIRED covered our JAMA IM Epic Sepsis Model evaluation paper. Check out the article.
STAT News: A popular algorithm to predict sepsis misses most cases and sends frequent false alarms, study finds
Casey Ross of STAT News covered our JAMA IM Epic Sepsis Model evaluation paper. Check out the article.
External Validation of a Widely Implemented Proprietary Sepsis Prediction Model in Hospitalized Patients
JAMA Internal Medicine. Can be found here.
Was featured in the University of Michigan Medical Scientist Training Program recruiting video. The MSTP at Michigan prepares physician scientists for car...
Precision Health Data Analytics & IT workgroup held an onboarding session for Engineering students who could use Precision Health tools and resources for...
Virtual panel discussion on precison health. A video segment from the 2020 University of Michigan Precision Health Virtual Symposium.
Appeared in Applied Ergonomics. Link
Virtual panel discussion on how artificial intelligence could guide the response to the coronavirus outbreak. Hosted by the Ann Arbor District Library. Panel...
Michigan Engineering News covered our work on the M-CURES COVID deterioration model that I helped to develop and led the implementation of. Read the article ...
Quick exploration of case spread and mortality rates of the novel coronavirus.
Kenneth Abbott, Alexandra Highet and I catalogued our contributions to the COVID Staffing project in a Dose of Reality Blog Post.
Machine Learning for Healthcare Conference clinical abstract, can be found here.
Discussed my work studying digital scribes with David Mitchell. Read the interview.
Academic Surgical Congress abstract, can be found here.
I developed an an iMessage Sticker Pack for all those interested in medicine, health, and the human body. Download it from the Apple AppSore.
Human factors engineering can play an important role in improving the safety of primary care.
Cues for PE Diagnosis in the Emergency Department: A Sociotechnical Systems Approach for Clinical Decision Support
American Medical Informatics Association Annual Symposium abstract focused on pulmonary embolism diagnosis.
Emergency Department disposition decisions are influenced not only by objective measures of a patient’s disease state, but also by census.
Starting a new INFORMS student chapter.
A community pharmacy initiative to decrease hospital readmissions by increasing patient adherence and competency of therapy
Pharmacy based interventions may help to reduce hospital admissions.
Exploring the potential benefits and challenges of integrating ML into primary care.
Using machine learning to predict the likelihood of inpatient admission at the time of patient triage in emergency departments.
Cherry Picking Patients: Examining the Interval Between Patient Rooming and Resident Self-assignment
Investigating the impact of chief complaints on resident physician self-assignment times in emergency departments.
Discrete event simulation and operations modeling for undergrads.
Machine learning for emergency department throughput prediction.
Article discussing Flexsim-SHS competition win.
Modeling and optimizing the operations of an emergency department using discrete event simulation.
Developed a custom text message gateway for businesses to reach their customers.
Findings from the first I-PrACTISE conference bringing together physicians and engineers.
Improving Primary Care Through Industrial and Systems Engineering