Benjamin Shickel, PhD
Assistant Professor
Department:
MD-MED QUANTITATIVE HEALTH
Business Email:
shickelb@ufl.edu
Teaching Profile
Courses Taught
2022
BME3053C Computer Applications for BME
2023-2024
GMS7979 Advanced Research
2023-2024
GMS6029 Brain Journal Club
Research Profile
Open Researcher and Contributor ID (ORCID)
0000-0002-5304-7027
Publications
2024
Gender differences in autonomy and performance assessments in a national cohort of vascular surgery trainees.
Journal of vascular surgery.
[DOI] 10.1016/j.jvs.2024.03.019.
[PMID] 38493897.
2024
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures.
Scientific reports.
14(1)
[DOI] 10.1038/s41598-024-59047-x.
[PMID] 38600110.
2024
The dawn of multimodal artificial intelligence in nephrology
Nature Reviews Nephrology.
20(2):79-80
[DOI] 10.1038/s41581-023-00799-6.
2024
The dilemma of consent for AI in healthcare.
Surgery.
175(5):1456-1457
[DOI] 10.1016/j.surg.2024.01.019.
[PMID] 38413305.
2024
Use of artificial intelligence in critical care: opportunities and obstacles.
Critical care (London, England).
28(1)
[DOI] 10.1186/s13054-024-04860-z.
[PMID] 38589940.
2023
A deep learning–based dynamic model for predicting acute kidney injury risk severity in postoperative patients
Surgery.
174(3):709-714
[DOI] 10.1016/j.surg.2023.05.003.
[PMID] 37316372.
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
Artificial intelligence guidance of advanced heart failure therapies: A systematic scoping review.
Frontiers in cardiovascular medicine.
10
[DOI] 10.3389/fcvm.2023.1127716.
[PMID] 36910520.
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
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit.
ArXiv.
[PMID] 36945691.
2023
Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup
Nature Reviews Nephrology.
19(12):807-818
[DOI] 10.1038/s41581-023-00744-7.
2023
Digital Health Transformers and Opportunities for Artificial Intelligence–Enabled Nephrology
Clinical Journal of the American Society of Nephrology.
18(4):527-529
[DOI] 10.2215/cjn.0000000000000085.
2023
Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.
… IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics.
2023
[DOI] 10.1109/bhi58575.2023.10313445.
[PMID] 38585187.
2023
Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks
Scientific Reports.
13(1)
[DOI] 10.1038/s41598-023-27418-5.
[PMID] 36681755.
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
Reinforcement Learning for Clinical Applications
Clinical Journal of the American Society of Nephrology.
18(4):521-523
[DOI] 10.2215/cjn.0000000000000084.
2023
Resident Operative Autonomy and Attending Verbal Feedback Differ by Resident and Attending Gender.
Annals of surgery open : perspectives of surgical history, education, and clinical approaches.
4(1)
[DOI] 10.1097/AS9.0000000000000256.
[PMID] 37600892.
2023
Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide Images.
Proceedings of SPIE–the International Society for Optical Engineering.
12471
[DOI] 10.1117/12.2655266.
[PMID] 37818350.
2023
Spatially Aware Transformer Networks for Contextual Prediction of Diabetic Nephropathy Progression from Whole Slide Images.
medRxiv : the preprint server for health sciences.
[DOI] 10.1101/2023.02.20.23286044.
[PMID] 36865174.
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
Utilization of the percutaneous left ventricular support as bridge to heart transplantation across the United States: In-depth UNOS database analysis
The Journal of Heart and Lung Transplantation.
42(11):1597-1607
[DOI] 10.1016/j.healun.2023.06.002.
2022
Artificial intelligence-enabled decision support in nephrology.
Nature reviews. Nephrology.
18(7):452-465
[DOI] 10.1038/s41581-022-00562-3.
[PMID] 35459850.
2022
Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals.
Journal of the American Medical Informatics Association : JAMIA.
30(1):54-63
[DOI] 10.1093/jamia/ocac188.
[PMID] 36214629.
2022
Federated learning for preserving data privacy in collaborative healthcare research.
Digital health.
8
[DOI] 10.1177/20552076221134455.
[PMID] 36325438.
2022
Ideal algorithms in healthcare: Explainable, dynamic, precise, autonomous, fair, and reproducible
PLOS Digital Health.
1(1)
[DOI] 10.1371/journal.pdig.0000006.
[PMID] 36532301.
2022
Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks.
Frontiers in digital health.
4
[DOI] 10.3389/fdgth.2022.1029191.
[PMID] 36440460.
2022
Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform.
JAMA network open.
5(5)
[DOI] 10.1001/jamanetworkopen.2022.11973.
[PMID] 35576007.
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
Physiologic signatures within six hours of hospitalization identify acute illness phenotypes
PLOS Digital Health.
1(10)
[DOI] 10.1371/journal.pdig.0000110.
[PMID] 36590701.
2022
Potentials and Challenges of Pervasive Sensing in the Intensive Care Unit.
Frontiers in digital health.
4
[DOI] 10.3389/fdgth.2022.773387.
[PMID] 35656333.
2022
Uncertainty-aware deep learning in healthcare: A scoping review
PLOS Digital Health.
1(8)
[DOI] 10.1371/journal.pdig.0000085.
[PMID] 36590140.
2021
Deep Multi-Modal Transfer Learning for Augmented Patient Acuity Assessment in the Intelligent ICU.
Frontiers in digital health.
3
[DOI] 10.3389/fdgth.2021.640685.
[PMID] 33718920.
2021
Reinforcement learning in surgery
Surgery.
170(1):329-332
[DOI] 10.1016/j.surg.2020.11.040.
[PMID] 33436272.
2020
Automated Emotional Valence Prediction in Mental Health Text via Deep Transfer Learning
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).
[DOI] 10.1109/bibe50027.2020.00051.
2020
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE).
[DOI] 10.1109/bibe50027.2020.00052.
2020
Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning–Based Text Generation
Pain Medicine.
21(11):3133-3160
[DOI] 10.1093/pm/pnaa061.
[PMID] 32249306.
2019
DeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning
Scientific Reports.
9(1)
[DOI] 10.1038/s41598-019-38491-0.
[PMID] 30755689.
2019
Intelligent ICU for Autonomous Patient Monitoring Using Pervasive Sensing and Deep Learning
Scientific Reports.
9(1)
[DOI] 10.1038/s41598-019-44004-w.
[PMID] 31142754.
2018
1619: INCREASING SOFA SCORE GRANULARITY WITH DEEP LEARNING
Critical Care Medicine.
46(1):794-794
[DOI] 10.1097/01.ccm.0000529620.25380.4a.
2018
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
IEEE Journal of Biomedical and Health Informatics.
22(5):1589-1604
[DOI] 10.1109/jbhi.2017.2767063.
2016
Deep neural network architectures for forecasting analgesic response.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference.
2016:2966-2969
[DOI] 10.1109/EMBC.2016.7591352.
[PMID] 28268935.
Grants
Dec 2023
ACTIVE
Surveillance priorities and outcomes for Veterans treated with endovascular abdominal aneurysm repair (EVAR Surveillance)
Role: Principal Investigator
Funding: US DEPT OF VET AFF WHITE RIV JCT MED CTR
Sep 2023
ACTIVE
Computational Image Analysis of Renal Transplant Biopsies to Predict Graft Outcome
Role: Co-Investigator
Funding: NATL INST OF HLTH NIDDK
Jul 2023
ACTIVE
QUantifIEd Coronary Artery Plaque and OuTcomes (QUIET): WARRIOR Ancillary Study
Role: Co-Investigator
Funding: US ARMY MED RES ACQUISITION
Apr 2023
ACTIVE
Aligning Patient Acuity with Resource Intensity after Major Surgery
Role: Co-Investigator
Funding: NATL INST OF HLTH NIGMS
Sep 2022
ACTIVE
Patient-Focused Collaborative Hospital Repository Uniting Standards (CHoRUS) for Equitable AI
Role: Project Manager
Funding: MASSACHUSETTS GENERAL HOSPITAL
via NATL INST OF HLTH OD
Aug 2022
ACTIVE
Explainable, Fair, Reproducible and Collaborative Surgical Artificial Intelligence: Integrating data, algorithms and clinical reasoning for surgical risk assessment (XAI-IDEALIST)
Role: Co-Investigator
Funding: NATL INST OF HLTH NIGMS
Apr 2022
– Mar 2024
(MEnD-AKI) Multicenter Implementation of an Electronic Decision Support System for Drug-Associated AKI
Role: Co-Investigator
Funding: UNIV OF PITTSBURGH MED CNTR
via NATL INST OF HLTH NIDDK
Education
Doctor of Philosophy, Computer Science
2020
·
University of Florida
Master of Science, Computer Science
2019
·
University of Florida
Contact Details
Emails:
- Business:
- shickelb@ufl.edu
Addresses:
- Business Mailing:
-
PO Box 100224
GAINESVILLE FL 32610