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journals.lww.com/journalacs/Abs…

Machine Learning Improves Prediction Over Logistic Regression on Resected Colon Cancer Patients sciencedirect.com/science/articl…

Continuous monitoring of surgical bimanual expertise using deep neural networks in virtual reality simulation nature.com/articles/s4174…

Our publication in Journal of GI Surgery shows improved performance for machine learning in predicting procedure-specific outcomes Muneera Kapadia @shawnmgomez rdcu.be/cMG9e

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…

A Smartphone Application Using Artificial Intelligence Is Superior To Subject Self-Reporting When Assessing Stool Form journals.lww.com/ajg/pages/arti…

A multi-institutional study shows improved detection rates for AI-assisted reading of capsule endoscopy recordings in 10% of the time. jamanetwork.com/journals/jaman…

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-pr…

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/36070116/ Muneera Kapadia @shawnmgomez

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/34952679/

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.

ACS NSQIP Risk Calculator Accuracy Using a Machine Learning Algorithm Compared to Regression journals.lww.com/journalacs/Abs…

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/Cit…

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. Kristalyn Gallagher @shawnmgomez link.springer.com/article/10.124…

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/articles/P…

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/articles/P… Muneera Kapadia @shawnmgomez

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/cit… Patricia Sylla

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/10.100…

Overjoyed to have matched at Cleveland Clinic for colorectal fellowship! Forever grateful to UNC Surgery for training and mentoring me, especially Muneera Kapadia