Li BV, Gehl C, Nimmer K, Shaik T, Quade K, Xing Y, Yang X, Kerns S, Kothari AN. Association of an Existing Polygenic Risk Score for Cutaneous Infection with Postoperative Surgical Site Infection. SAMS 2024. 

Brian shared his work demonstrated how genetic risk factors potentially play a role in the development of surgical site infection (SSI) in the postoperative setting for the 2024 MCW Summer Academic programs for Medical Students (SAMS) in Milwaukee, WI. 

Elftmann E, Wolfrath N, Verhagen N, Kothari An. Evaluation of Surgival AI-Simulated Clinical Interactions Using ChatClinic. SAMS 2024. 

Eric presented his work evaluating the reliability of 'ChatClinic', an educational platform created by Nate W and Nate V that uses AI to prepare medical students for clinical rotations for the 2024 Summer Academic programs for Medical Students (SAMS) in Milwaukee, WI. 

SenthilKumar G, Muthukumar A, Fong ZV, Buss R, Rolan S, Datta J, Kothari A, Calata J. Why are international students underrepresented in US-MD schools? SAAS 2024. 

Gopika shared data on the institutional policies affecting international medical students and how socioeconomic factors (SES) affect different Asian subpopulations at the 2024 Society of Asian Academic Surgeons (SAAS) Annual Meeting. 

Verhagen NB, Wolfrath N, Sathe T, Shah M, Nimmer K, Tomlin C, Peschman J, Murphy P, Dream S, Kothari A. Evaluation of ChatClinic's AI-Simulated Clinical Interactions Using Large Language Models and Human Experts. SAAS 2024. 

Nate V presented "ChatClinic", an innovate large language model (LLM) based educational resource that may provide a new approach to preparing medical students for clinical rotations at the 2024 Society of Asian Academic Surgeons (SAAS) Annual Meeting in New Orleans, LA. 

Gehl C, Li BV, Ramamurthi A, SenthilKumar G, Verhagen NB, Shaik TJ, Yang X, Linsky PL, Funk LM, Kerns SL, Kothari AN. Cardiothoracic surgery patients carrying a causal atrial fibrillation variant (ZFHX3) are at increased risk of developing postoperative new-onset atrial fibrillation. SAAS 2024. 

Brian presented the relationship between ZFHX3, a causal atrial fibrillation variant, and an increased risk for post-op atrial fibrillation at the 2024 Society of Asian Academic Surgeons (SAAS) Annual Meeting in New Orleans, LA. 

Shaik T, Yang X, Wolfrath N, SenthilKumar G, Merrill J, Istl A, Clarke C, Maduekwe UN, Kothari AN. Integrating a Machine Learning Model into Web-Based App to Predict Readmission after CRS +/- HIPEC. SAAS 2024. 

Tahseen displayed how AI models can predict patients' post-operative risk to help inform more personalized follow up care at the 2024 Society of Asian Academic Surgeons (SAAS) Annual Meeting in New Orleans, LA. 

Ramamurthi A, Shaik T, Kothari AN. Utilizing GPT-4 and Unstructured Note Data for Case Length Prediction. SAAS 2024. 

Adhit presented his work on utilizing large language models (LLMs) to predict surgical case length at the 2024 Society of Asian Academic Surgeons (SAAS) Annual Meeting in New Orleans, LA. 

Ramamurthi A, Shaik T, Kothari AN. Prediction of Operating Room Case Length with GPT-4 from Unstructured Notes. Southeast Wisconsin Data Science (SEAWINDS) Collaborative Annual Research Symposium: All Things Data Science. 

Adhit presented his work using ChatGPT-4 and unstructured notes to predict operating room case length at the SEAWINDS 2024 Collaborative. 

Gehl C, Verhagen NB, Shaik T, Yang X, Taylor B, Maduekwe U, Kerns S, Kothari A. Wearable Device Activity Trackers as a Tool for Surgical Risk Stratification.  Southeast Wisconsin Data Science (SEAWINDS) Collaborative Annual Research Symposium: All Things Data Science. 

Carson presented his work on wearable activity trackers as a tool for surgical risk stratification at the SEAWINDS 2024 Collaborative. 

Shaik T, Yang X, Wolfrath N, SenthilKumar G, Merrill J, Istl A, Clarke C, Maduekwe UN, Kothari AN. Integrating a Machine Learning Model into Web-Based App to Predict Readmission after CRS +/- HIPEC.  Southeast Wisconsin Data Science (SEAWINDS) Collaborative Annual Research Symposium: All Things Data Science. 

Tahseen presented her work on predicting readmission after CRS +/- HIPEC using AI and integrating models into a web based application at the SEAWINDS 2024 Collaborative. She also received the "Best Early Career Research Poster" award!

Verhagen NB, Wolfrath N, Gehl C, Geissler T, Chu T, Flitcroft MA, SenthilKumar G, Sathe T, Kothari AN. Shaping the Future of Medical Education with Generative AI: Student-Initiated Data Science Interest Group Launches ChatClinic. MCW Research Day 2024. 

Nate V and Nate W once again shared how they utilized generative AI to create an educational ChatClinic for medical students at MCW Research Day 2024. 

Gehl C, Ramamurthi A, SenthilKumar G, Verhagen NB, Shaik T, Yang X, Linsky PL, Funk LM, Kerns S, Kothari AN. Variant in ZFHX3 Gene Increases Risk of Postoperative Atrial Fibrillation in Cardiothoracic Surgery. ASC 2024. 

Carson presented his work using All of Us Research Program displaying how those with genetic risk factors for atrial fibrillation are at an increased risk for new-onset postoperative atrial fibrillation following cardiothoracic surgery. 

Ramamurthi A, Kothari AN. Development and Validation of an Artificial Intelligence System for Surgical Case Length Prediction. ASC 2024. 

Adhit presented his work assessing the accuracy of EHR-generated surgical case length estimation at the 19th Annual Academic Surgical Congress. 

Verhagen NB, Wolfrath N, Sathe T, Shah M, Nimmer K, Tomlin C, Peschman J, Murphy P, Dream S, Kothari AN. Evaluation of ChatClinic's AI-Simulated Clinical Interactions Using Large Language Models and Human Experts. ASC 2024. 

Nate V presented data evaluating the content of AI Simulated Clinical Interactions (ASCI), a tool that may provide a new approach to preparing medical students for clinical rotations. 

Wolfrath N, Flitcroft MA, McConnell L, Maddula R, Verhagen NB, Clarke CN, Deshpande P, Kothari AN. Varying Large Language Model Parameters Influence Detectability of AI-Generated Scientific Articles. ASC 2024. 

Nate W presented his work on the detectability of AI-generated scientific articles using varying large language model parameters at the 19th Annual Academic Surgical Congress. 

Kothari AN. AI and Clinical Documentation: Efficiency Meets Privacy. ASC 2024. 

Dr. Kothari discussed the use of AI for clinical documentation during the AI Unleashed: Ethical Implications and Transformative Potential of Language Models in Academic Surgery hot topic session at the 19th Annual Academic Surgical Congress. 

Shaik T, Yang X, Wolfrath N, SenthilKumar G, Merrill J, Istl A, Clarke C, Maduekwe UN, Kothari AN. Integrating a Machine Learning Model into Web-Based App to Predict Readmission after CRS +/- HIPEC. ASC 2024.

Tahseen presented her work on predicting readmission after CRS +/- HIPEC using AI and integrating models into a web based application at the 19th Annual Academic Surgical Congress in Washington D.C..

Kothari AN. Teaming with Artificial Intelligence to Augment Surgical Practice. AMIA 2023.

Dr. Kothari discussed developing oncology-specific large language models in our lab at the 2023 American Medical Informatics Association Annual Symposium in New Orleans, LA.

SenthilKumar G, Verhagen NB, Sheriff S, Yang X, Figueroa Castro CE, Canales B, Szabo A, Taylor BW, Gould JC, Kothari AN. Risk of Early Postoperative Cardiovascular Complications in Patients with Preoperative COVID-19 Undergoing Cancer Surgery. ACSCC 2023.

Gopika gave a presentation at the 2023 American College of Surgeons Clinical Congress in Boston, MA on her work studying the influence of COVID-19 on adverse events postoperatively in those undergoing cancer resection. 

Gehl C, Verhagen NB, Shaik T, Yang X, Taylor BW, Maduekwe U, Kothari AN. Wearable Device/Smart Watch Activity Trackers as a Tool for Surgical Risk Stratification. ACSCC 2023.

Carson presented his work on how recording more than 7,500 daily steps prior to surgery is associated with lower risk of 90-day postoperative outcomes at the 2023 American College of Surgeons Clinical Congress in Boston, MA.

Gehl C, Verhagen NB, SenthilKumar G, Shaik T, Yang X, Taylor B, Knight J, Kerns S, Kothari AN. Fitbit Sleep Data as a Tool for Surgical Risk Stratification.  Medical Student Research Symposium 2023.

Carson presented his work on how Fitbit sleep data can help predict adverse surgical events at the 2023 Medical Student Research Symposium in Milwaukee, WI. 

Verhagen NB, Wolfrath N, Gehl G, Geissler T, Chu J, Flitcroft MA, SenthilKumar G, Sathe T, Kothari AN. Shaping the Future of Medical Education with Generative AI: Student-Initiated Data Science Interest Group Launches ChatClinic. IHER 2023.

Nate V and Nate W shared how they utilized generative AI to create an educational ChatClinic for medical students at the 2023 Innovations in Healthcare Education Research Conference in Milwaukee, WI. 

Li C, Verhagen NB, Flitcroft MA, Shaik T, Yang X, Szabo A, Lauer K, Gould JC, Kothari AN. Characterizing the Impact of SARS-CoV-2 Reduction on Surgical Outcomes. SAAS 2023.

Cindy presented her work on the impact of COVID reinfection on surgical outcomes at the 2023 Society of Asian Academic Surgeons Annual Meeting in Baltimore, MD. 

SenthilKumar G, Verhagen NB, Yang X, Dream SY, Clarke CN, Maduekwe UN, Banerjee A, Tsai S, Wang TS, Kothari AN. Importance of Addressing Heterogeneity Among Asian Subgroups During Development of Machine Learning Models for Postoperative Risk Prediction. SAAS 2023.

Gopika gave a plenary presentation at the 2023 Society of Asian Academic Surgeons Annual Meeting in Baltimore, MD on the importance of testing machine learning models within specific Asian subgroups to account for the heterogeneity in the Asian population. 

Gehl CJ, Verhagen NB, SenthilKumar G, Shaik T, Yang X, Taylor BW, Knight J, Kerns S, Kothari AN. Fitbit Sleep Data as a Tool for Surgical Risk Stratification. SAAS 2023.

Carson gave a plenary presentation at the 2023 Society of Asian Academic Surgeons Annual Meeting in Baltimore, MD, highlighting how sleep hygiene can influence postoperative outcomes, using the All of US Research Workbench.

Verhagen NB, SenthilKumar G, Gehl C, Flitcroft MA, Yang X, Ghaferi AA, Gould JC, Kothari AN. From Alpha to Omicron and Beyond: Assessing the Impact of SARS-CoV-2 Variants on Surgical Outcomes. SAAS 2023.

Nate V gave a plenary presentation at the 2023 Society of Asian Academic Surgeons Annual Meeting in Baltimore, MD on the influence of COVID-19 variants on postoperative outcomes.

Kothari AN. ChatGPT and Large Language Models as Augments of GI Surgical Practice. DDW 2023.

Dr. Kothari discussed the importance and applicability of LLMs in GI Surgical Oncology practice at Digestive Disease Week 2023.

Thalji SZ, Tsai S, Aldakkak M, Belbahri M, Clarke CN, Christians KK, George B, Kamgr M, Erickson BA, Hall WA, Auer PL, Taylor BW, Evans DB, Kothari AN. e19-9: A Machine Learning Derived Electronic Tumor Marker. SSO 2023. 

Sam presented his work on electronic tumor markers to an audience of surgical oncologists at the 2023 Society of Surgical Oncology International Conference on Surgical Cancer Care in Boston, MA.

Flitcroft MA, Shah NC, Knoll KA, Kothari AN, Johnson SC. Facility Level Variation in Pathologic Upstaging of Bladder Cancer After Radical Cystectomy. AUA 2023.

Maddie presented her research at the 2023 American Urologic Association Annual Meeting in Chicago, IL. She utilized NCDB data to investigate the relationship between facility level factors and pathologic upstaging of bladder cancer after cystectomy. 

Flitcroft MA, Verhagen NB, Shah NC, Johnson SC, Kothari AN.  Surgery for Urologic Cancers After SARS-CoV-2 Infection: Adverse Outcomes and Optimal Delay. WUS 2023.

Maddie presented her research at 2023 Wisconsin Urologic Society Annual Meeting in Milwaukee, WI. Her work focused on the impact of COVID-19 infection severity and timing of surgery for urologic cancers. 

Jaraczewski TJ, Senthilkumar G, Merrill J, Kothari AN, on behalf of the US HIPEC Collaborative. Machine Learning Approach to Personalize Prediction of Recurrence Following CRS and HIPEC. ACT 2023. 

Taylor presented his work on utilizing a machine learning model to create personalized surveillance schedules for patients following CRS and HIPEC at the 2023 Advanced Cancer Therapies conference in San Diego, CA.

Verhagen NB, Koerber NK, Flitcroft MA, Sheriff SA, Clarke CN, Christians KK, Gamblin TC, Gould JC, Kothari AN. Impact of Vaccination on Surgical Outcomes in Patients with Postoperative COVID-19. ASC 2023. 

Nate V presented his work demonstrating the importance of vaccination in the context of surgery in patients that develop COVID-19 after surgery in Houston, TX at the 2023 Academic Surgical Congress.

Flitcroft MA, Verhagen NB, Shah NC, Johnson SC, Kothari AN.  Surgery for Urologic Cancers After SARS-CoV-2 Infection: Adverse Outcomes and Optimal Delay. ASCO GI 2023.

Maddie presented her research at the 2023 American Society of Clinical Oncology Gastrointestinal Cancers Symposium in San Francisco, CA. Her work focuses on optimal timing of surgery after COVID-19 infection with the goal of minimizing adverse outcomes while also preventing unnecessary surgical delay for cancer patients. 

SenthilKumar G, Koerber N, Merrill J, Clarke CN, Maduekwe UN, Tsai S, Christians K, Gamblin TC, Kothari AN. Feasibility of Automatic Machine Learning (AutoML) to Predict 90-day Mortality after Gastrectomy for Cancer. SAAS 2022. 

At the Society for Surgery of the Alimentary Tract 63rd Annual Meeting in San Diego, CA, Gopika presented her work training automated machine learning (AutoML) frameworks to predict post-operative mortality in patients with gastric cancer. View the full abstract here. 

Verhagen NB, Sheriff SA, Szabo A, Kothari AN. Revisiting COVID-19 Surgical Timing Guidelines Using COVID-19 Severity in Cancer Patients.

Nate V presented his work at the annual Medical Student Summer Research Virtual Poster Presentation and received the Dr. Michael J. Dunn poster award. 

Verhagen NB, Koerber NK, Flitcroft MA, Sheriff SA, Clarke CN, Christians KK, Gamblin TC, Gould JC, Kothari AN. Impact of Vaccination on Surgical Outcomes in Patients with Postoperative COVID-19. 

Nate V presented research on the impact vaccination can have on surgical outcomes in patients that develop COVID-19 acutely after surgery. This presentation reaffirms the significant impact postoperative COVID-19 can have on the rate of adverse surgical outcomes. Importantly, this research highlights the role of vaccination in mitigating the serious risk associated with postoperative COVID-19. Together, these findings demonstrate a widely available solution through vaccination to improve surgical outcomes during the COVID-19 pandemic.

Koerber NK, Verhagen NB, Flitcroft MA, Sheriff SA, Merrill JR, Clarke CN, Maduekwe UN, Evans DB, Kothari AN. Characterizing Price Variation Amongst Common Shoppable Surgical Procedures in the United States.

Nic presented his research analyzing data released by Turquoise Health to determine price variation across common surgical procedures in the United States. This research is important for determining hospital compliance to the 2021 Price Transparency Rule that mandates hospitals to release pricing for their procedures and identifies previously uncharacterized disparity in the price of surgical procedures across and within hospitals. 

Flitcroft MA, Sheriff SA, Kothari AN. Where You Go Matters: Hospital Variation in Treatment Outcomes for High-Risk Hepatocellular Carcinoma.

Maddie completed her third year of medical school by presenting her work for peers and faculty at the Scholarly Pathways Scholarship Forum. She studied an observed difference in outcomes for patients with high-risk hepatocellular carcinoma based on which hospital they received treatment.

Tender SL, Verhagen NB, Kothari AN. Black Men Oncologic Surgical Outcomes During the COVID-19 Pandemic. SPARCC 2022.

Sir Lawrence completed the Student-Centered Pipeline to Advance Research in Cancer Careers program with a fantastic poster presentation.