Surgery resident @UNCSurgery, applying machine learning to colorectal surgery, tweets are my own
Joined January 2017
- Tweets20
- Following218
- Followers100
- Likes117
Overjoyed to have matched at Cleveland Clinic for colorectal fellowship! Forever grateful to @UNCSurgery for training and mentoring me, especially @muneerakapadia
Another outstanding match day for @ClevelandClinic Colorectal Surgery department! 6 up and coming surgeons that will immediately start making a difference in our speciality. @DavidLiskaMD @ScottRSteeleMD @arikanters @MRegueiroMD @EmreGorgunMD @HolubarStefan
Our recent publication uses transcriptomics to analyze the overlap in differentially expressed genes and gene pathways between post-operative Crohn's disease recurrence and surgical site infections to suggest underlying biological mechanisms
link.springer.com/article/10…
Our recent editorial in DCR highlights a project opening a new frontier in AI-assisted intra-op support and emphasizes the need for surgeon-owned, open-source data and models.
journals.lww.com/dcrjournal/…
@patsyllamd
Our recent publication in DCR developed a machine learning-based model for predicting pathologic complete response for rectal cancer. Future models could help guide patient selection for non-operative management.
ncbi.nlm.nih.gov/pmc/article…
@muneerakapadia @shawnmgomez
Our recent publication shows the potential for machine learning applied to gene expression (RNASeq) to predict clinical outcomes in pediatric Crohn's disease
ncbi.nlm.nih.gov/pmc/article…
We developed an AI model which can use intra-op specimen mammography to predict the pathologic margin status of partial mastectomy specimens with accuracy equal to surgeons and radiologists. @Dr_KGallagher @shawnmgomez
link.springer.com/article/10…
While some cancers can be seen or felt, others may microscopic. 🔬
A new #AI tool, developed by researchers at @UNCSurgery, @jointbme, and @UNC_Lineberger, will allow #surgeons to more accurately analyze and remove tumors during #BreastCancer surgery.
news.unchealthcare.org/2023/…
Our letter to the editor in JACS proposes that an ML-based NSQIP risk calculator should be:
1. Procedure-specific
2. Interpretable
3. Open-source and collaboratively developed
journals.lww.com/journalacs/…
ACS NSQIP Risk Calculator Accuracy Using a Machine Learning Algorithm Compared to Regression
journals.lww.com/journalacs/…
Kevin Chen retweeted
The Department of Surgery lost a cherished member of the team this week after a long illness. Katie Iles joined us as a resident in 2018. We grieve her loss and she will be deeply missed, but we will remember her and the contributions she made to our department.
ALT Kathleen Iles, MD in the OR
ALT Katie Iles, photo courtesy of Iles Family
ALT Kathleen Iles, MD
Kevin Chen retweeted
I don’t usually weigh in on non-neurology debates but thought I would fix a typo in this title
A radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer, validated in 3 external cohorts
pubmed.ncbi.nlm.nih.gov/3495…
Our recent publication presents machine learning-based models that can more accurately predict readmission after colorectal surgery, showing an important role for AI in quality improvement.
pubmed.ncbi.nlm.nih.gov/3607…
@muneerakapadia @shawnmgomez
Clinical decision support (CDS) have the potential to "support surgeons’ delivery of high-quality care and reduce physician burden" by applying AI to patient outcomes
facs.org/for-medical-profess…
A multi-institutional study shows improved detection rates for AI-assisted reading of capsule endoscopy recordings in 10% of the time. jamanetwork.com/journals/jam…
A Smartphone Application Using Artificial Intelligence Is Superior To Subject Self-Reporting When Assessing Stool Form
journals.lww.com/ajg/pages/a…
Algorithm-based care versus usual care for the early recognition and management of complications after pancreatic resection in the Netherlands: an open-label, nationwide, stepped-wedge cluster-randomised trial
thelancet.com/journals/lance…
Our publication in Journal of GI Surgery shows improved performance for machine learning in predicting procedure-specific outcomes @muneerakapadia @shawnmgomez
rdcu.be/cMG9e
Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation
nature.com/articles/s41746-0…
Machine Learning Improves Prediction Over Logistic Regression on Resected Colon Cancer Patients
sciencedirect.com/science/ar…
