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Explainable, Fair, Reproducible and Collaborative Surgical Artificial Intelligence: Integrating data, algorithms and clinical reasoning for surgical risk assessment (XAI-IDEALIST)

Award Number: R01GM110240
ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 03/01/2016
PERIOD OF PERFORMANCE END DATE: 05/31/2026

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Explainable, Fair, Reproducible and Collaborative Surgical Artificial Intelligence: Integrating data, algorithms and clinical reasoning for surgical risk assessment (XAI-IDEALIST) - Project Summary In the United States, the average American can expect to undergo seven surgical operations during a lifetime. Each year 150,000 surgical patients die, and 1.5 million develop a complication after surgery. Progress in medical Artificial Intelligence (AI) remains halted by limited datasets and models with insufficient interpretability, transparency, fairness, and reproducibility that are difficult to implement and share across institutions. In the previous funding period, in addition to 98 publications and 3 patents, a real-time intelligent surgical risk assessment system was successfully implemented at University of Florida. The overall objective of this renewal application is to develop a new conceptual framework for “Explainable, Fair, Reproducible, and Collaborative Medical AI” to provide a foundation for clinical implementation at scale. It will leverage the OneFlorida, a large clinical consortium of 22 hospitals serving 10 million patients in Florida, the nation’s third largest state. The overall objective will be achieved by pursuing three specific aims. (1) External and prospective validation of novel interpretable, dynamic, actionable, fair and reproducible algorithmic toolkit for real-time surgical risk surveillance. (2) Developing and evaluating explainable AI platform (XAI-IDEALIST) for real-time surgical risk surveillance using human-grounded benchmarks. (3) Implementing and evaluating a federated learning approach with advanced privacy features for collaborative surgical risk model training. The approach is innovative, because it represents the first attempt to (1) build the first surgical FAIR (Findable, Accessible, Interoperable, Reproducible) AI-ready, large multicenter multimodal dataset, (2) Novel computational approaches accompanied by assessing fairness and reproducibility, (3) a multifaceted and full-stack explainable AI framework, and (4) federated learning capacity for privacy-preserving model trainingacross institutions. The proposed research is significant since it will address several key problems and critical barriers, including (1) lack of AI-ready large surgical datasets, (2) lack of interpretable, dynamic, actionable, fair and reproducible surgical risk algorithms, (2) lack of a medical AI explainability platform, and (4) lack of a systematic approach for collaborative model training and sharing across institutions. Ultimately, the results are expected to improve patient outcomes and decrease hospitalization costs, as well as lifelong complications.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $513,428 )
2025	2025	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	9	6/10/2025	NON-COMPETING CONTINUATION	$513,428
														Subtotal = $513,428

Issue Date FY: 2024 ( Subtotal = $776,544 )
2024	2024	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	001	8	9/11/2024	SUPPLEMENT FOR EXPANSION	$249,124
2024	2024	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	8	6/21/2024	NON-COMPETING CONTINUATION	$527,420
														Subtotal = $776,544

Issue Date FY: 2023 ( Subtotal = $541,970 )
2023	2023	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	7	5/26/2023	NON-COMPETING CONTINUATION	$541,970
2023	2022	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	002	6	7/3/2023	COMPETING CONTINUATION	$4,885
2023	2020	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	001	5	7/3/2023	NON-COMPETING CONTINUATION	-$4,885
														Subtotal = $541,970

Issue Date FY: 2022 ( Subtotal = $554,855 )
2022	2022	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	003	6	8/10/2022	COMPETING CONTINUATION	$554,855
2022	2020	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	001	5	5/23/2022	NON-COMPETING CONTINUATION	$0
2022	2020	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	5	12/6/2021	NON-COMPETING CONTINUATION	$0
2022	2020	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	002	5	8/10/2022	NON-COMPETING CONTINUATION	$0
														Subtotal = $554,855

Issue Date FY: 2020 ( Subtotal = $531,970 )
2020	2020	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	5	1/6/2020	NON-COMPETING CONTINUATION	$478,772
2020	2020	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	001	5	3/10/2020	NON-COMPETING CONTINUATION	$53,198
														Subtotal = $531,970

Issue Date FY: 2019 ( Subtotal = $531,970 )
2019	2019	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	4	12/13/2018	NON-COMPETING CONTINUATION	$531,970
														Subtotal = $531,970

Issue Date FY: 2018 ( Subtotal = $531,970 )
2018	2018	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	001	3	5/15/2018	NON-COMPETING CONTINUATION	$53,198
2018	2018	UNIVERSITY OF FLORIDA	1523 UNION RD RM 207	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	3	12/14/2017	NON-COMPETING CONTINUATION	$478,772
														Subtotal = $531,970

Issue Date FY: 2017 ( Subtotal = $531,443 )
2017	2017	UNIVERSITY OF FLORIDA	207 GRINTER HALL	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	001	2	6/21/2017	NON-COMPETING CONTINUATION	$53,145
2017	2017	UNIVERSITY OF FLORIDA	207 GRINTER HALL	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	2	12/12/2016	NON-COMPETING CONTINUATION	$478,298
														Subtotal = $531,443

Issue Date FY: 2016 ( Subtotal = $573,044 )
2016	2016	UNIVERSITY OF FLORIDA	PO BOX 113001, 302 TIGERT HALL	GAINESVILLE	FL	32611	ALACHUA	USA	Biomedical Research and Research Training	000	1	2/26/2016	NEW	$573,044
														Subtotal = $573,044

Grand Total All Awards = $5,087,194

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Explainable, Fair, Reproducible and Collaborative Surgical Artificial Intelligence: Integrating data, algorithms and clinical reasoning for surgical risk assessment (XAI-IDEALIST)

Award Number: R01GM110240

ORGANIZATION: NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 03/01/2016

PERIOD OF PERFORMANCE END DATE: 05/31/2026

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