Jeremy A Balch

Jeremy A Balch, MD

General Surgery Resident

Department: MD-SURGERY-RESIDENCY PROGRAM
Business Phone: (352) 265-0916

About Jeremy A Balch

Hometown: San Diego, CA

Clinical and Research Interests: Artificial Intelligence, Machine Learning, Health Systems

What were you looking for in a residency program? Commitment to research, supportive culture, regional referral center

What are the strengths of the UF program? Opportunities to collaborate across campus, faculty dedicated to residents, large surgical volume, diversity of surgical training

What do you like best about living in Gainesville? The convenience of a small town that punches above its weight in terms of restaurants and cultural opportunities

List of hobbies/interests: Rowing, house plants

Research Profile

Open Researcher and Contributor ID (ORCID)

0000-0002-1826-7884

Publications

2024
Are we ready for “green surgery” to promote environmental sustainability in the operating room? Results from the WSES STAR investigation.
World journal of emergency surgery : WJES. 19(1) [DOI] 10.1186/s13017-024-00533-y. [PMID] 38267949.
2024
Operating Room Supply Cost and Value of Care after Implementing a Sustainable Quality Intervention.
Journal of the American College of Surgeons. 238(4):404-413 [DOI] 10.1097/XCS.0000000000000972. [PMID] 38224109.
2024
The dilemma of consent for AI in healthcare
Surgery. [DOI] 10.1016/j.surg.2024.01.019.
2023
A simulation curriculum for laparoscopic common bile duct exploration, balloon sphincterotomy, and endobiliary stenting: Associations with resident performance and autonomy in the operating room
Surgery. 173(4):950-956 [DOI] 10.1016/j.surg.2022.11.007.
2023
Actionable artificial intelligence: Overcoming barriers to adoption of prediction tools
Surgery. 174(3):730-732 [DOI] 10.1016/j.surg.2023.03.019.
2023
Artificial Intelligence-enabled Decision Support in Surgery: State-of-the-art and Future Directions.
Annals of surgery. 278(1):51-58 [DOI] 10.1097/SLA.0000000000005853. [PMID] 36942574.
2023
Building an automated, machine learning-enabled platform for predicting post-operative complications
Physiological Measurement. 44(2) [DOI] 10.1088/1361-6579/acb4db. [PMID] 36657179.
2023
Correction: Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey.
World journal of emergency surgery : WJES. 18(1) [DOI] 10.1186/s13017-023-00493-9. [PMID] 36959605.
2023
Defining critical illness using immunological endotypes in patients with and without of sepsis: A cohort study.
Research square. [DOI] 10.21203/rs.3.rs-2874506/v1. [PMID] 37214996.
2023
Defining critical illness using immunological endotypes in patients with and without sepsis: a cohort study.
Critical care (London, England). 27(1) [DOI] 10.1186/s13054-023-04571-x. [PMID] 37474944.
2023
Exosomal miRNA Following Severe Trauma: Role in Bone Marrow Dysfunction
Journal of Trauma and Acute Care Surgery. [DOI] 10.1097/ta.0000000000004225.
2023
Machine Learning–Enabled Clinical Information Systems Using Fast Healthcare Interoperability Resources Data Standards: Scoping Review
JMIR Medical Informatics. 11:e48297-e48297 [DOI] 10.2196/48297. [PMID] 37646309.
2023
Methods and evaluation metrics for reducing material waste in the operating room: a scoping review
Surgery. 174(2):252-258 [DOI] 10.1016/j.surg.2023.04.051.
2023
Overtriage, Undertriage, and Value of Care after Major Surgery: An Automated, Explainable Deep Learning-Enabled Classification System.
Journal of the American College of Surgeons. 236(2):279-291 [DOI] 10.1097/XCS.0000000000000471. [PMID] 36648256.
2023
Postoperative Overtriage to an Intensive Care Unit Is Associated With Low Value of Care.
Annals of surgery. 277(2):179-185 [DOI] 10.1097/SLA.0000000000005460. [PMID] 35797553.
2023
Postoperative Triage Hybrid Model: In Reply to Bellini and Bignami.
Journal of the American College of Surgeons. 237(2) [DOI] 10.1097/XCS.0000000000000747. [PMID] 37184098.
2023
Predictive Modeling for Readmission to Intensive Care: A Systematic Review.
Critical care explorations. 5(1) [DOI] 10.1097/CCE.0000000000000848. [PMID] 36699252.
2023
Resource use for cholecystectomy with versus without cholangiography: A multicenter, propensity-matched analysis
Surgery. 174(2):152-158 [DOI] 10.1016/j.surg.2023.04.027.
2023
Retrospective value assessment of a dedicated, trauma hybrid operating room.
The journal of trauma and acute care surgery. 94(6):814-822 [DOI] 10.1097/TA.0000000000003873. [PMID] 36727772.
2023
Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey.
World journal of emergency surgery : WJES. 18(1) [DOI] 10.1186/s13017-022-00467-3. [PMID] 36597105.
2023
Surgical resident experience with common bile duct exploration and assessment of performance and autonomy with formative feedback.
World journal of emergency surgery : WJES. 18(1) [DOI] 10.1186/s13017-023-00480-0. [PMID] 36747289.
2023
Survival and neurologic outcomes following aortic occlusion for trauma and hemorrhagic shock in a hybrid operating room.
Research square. [DOI] 10.21203/rs.3.rs-2459030/v1. [PMID] 36711502.
2023
Survival and neurologic outcomes following aortic occlusion for trauma and hemorrhagic shock in a hybrid operating room.
World journal of emergency surgery : WJES. 18(1) [DOI] 10.1186/s13017-023-00484-w. [PMID] 36959585.
2022
Aligning Patient Acuity With Resource Intensity After Major Surgery: A Scoping Review.
Annals of surgery. 275(2):332-339 [DOI] 10.1097/SLA.0000000000005079. [PMID] 34261886.
2022
Federated learning for preserving data privacy in collaborative healthcare research.
Digital health. 8 [DOI] 10.1177/20552076221134455. [PMID] 36325438.
2022
From bench to bedside: Pursuing equity in precision medicine approaches to pancreatic cancer care.
Frontiers in oncology. 12 [DOI] 10.3389/fonc.2022.1086779. [PMID] 36568255.
2022
Gamification for Machine Learning in Surgical Patient Engagement.
Frontiers in surgery. 9 [DOI] 10.3389/fsurg.2022.896351. [PMID] 35656082.
2022
Methods for Phenotyping Adult Patients in Sepsis and Septic Shock: A Scoping Review.
Critical care explorations. 4(4) [DOI] 10.1097/CCE.0000000000000672. [PMID] 35372844.
2022
Phenotype clustering in health care: A narrative review for clinicians.
Frontiers in artificial intelligence. 5 [DOI] 10.3389/frai.2022.842306. [PMID] 36034597.
2022
Safety of laparoscopic inguinal hernia repair in the setting of antithrombotic therapy.
Surgical endoscopy. 36(12):9011-9018 [DOI] 10.1007/s00464-022-09360-1. [PMID] 35674797.
2022
Uncertainty-aware deep learning in healthcare: A scoping review.
PLOS digital health. 1(8) [DOI] 10.1371/journal.pdig.0000085. [PMID] 36590140.
2021
Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity.
JAMA network open. 4(11) [DOI] 10.1001/jamanetworkopen.2021.31669. [PMID] 34757412.
2021
Bridging the artificial intelligence valley of death in surgical decision-making
Surgery. 169(4):746-748 [DOI] 10.1016/j.surg.2021.01.008. [PMID] 33608148.
2021
Corrigendum to Prevalence and extent of industry support for program directors of surgical fellowships in the United States [Surgery Volume 168, Issue 6, December 2020, Pages 1101-1105].
Surgery. 169(6) [DOI] 10.1016/j.surg.2021.02.047. [PMID] 33789814.
2021
Machine Learning Applications in Solid Organ Transplantation and Related Complications.
Frontiers in immunology. 12 [DOI] 10.3389/fimmu.2021.739728. [PMID] 34603324.
2020
Decision analysis and reinforcement learning in surgical decision-making
Surgery. 168(2):253-266 [DOI] 10.1016/j.surg.2020.04.049. [PMID] 32540036.
2020
Intelligent, Autonomous Machines in Surgery
Journal of Surgical Research. 253:92-99 [DOI] 10.1016/j.jss.2020.03.046. [PMID] 32339787.
2020
Opportunities for machine learning to improve surgical ward safety
The American Journal of Surgery. 220(4):905-913 [DOI] 10.1016/j.amjsurg.2020.02.037. [PMID] 32127174.
2020
Prevalence and extent of industry support for program directors of surgical fellowships in the United States.
Surgery. 168(6):1101-1105 [DOI] 10.1016/j.surg.2020.07.035. [PMID] 32943202.

Education

MD
2018 · University Of Michigan Medical School

Contact Details

Phones:
Business:
(352) 265-0916
Emails:
Addresses:
Business Mailing:
PO Box 100287
GAINESVILLE MI 32610