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  1. Article ; Online: Actionable artificial intelligence: Overcoming barriers to adoption of prediction tools.

    Balch, Jeremy A / Loftus, Tyler J

    Surgery

    2023  Volume 174, Issue 3, Page(s) 730–732

    Abstract: Clinical prediction models based on artificial intelligence algorithms can potentially improve patient care, reduce errors, and add value to the health care system. However, their adoption is hindered by legitimate economic, practical, professional, and ... ...

    Abstract Clinical prediction models based on artificial intelligence algorithms can potentially improve patient care, reduce errors, and add value to the health care system. However, their adoption is hindered by legitimate economic, practical, professional, and intellectual concerns. This article explores these barriers and highlights well-studied instruments that can be used to overcome them. Adopting actionable predictive models will require the purposeful incorporation of patient, clinical, technical, and administrative perspectives. Model developers must articulate a priori clinical needs, ensure explainability and low error frequency and severity, and promote safety and fairness. Models themselves require ongoing validation and monitoring to address variations in health care settings and must comply with an evolving regulatory environment. Through these principles, surgeons and health care providers can leverage artificial intelligence to optimize patient care.
    MeSH term(s) Humans ; Artificial Intelligence ; Algorithms ; Health Personnel ; Surgeons
    Language English
    Publishing date 2023-05-16
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 202467-6
    ISSN 1532-7361 ; 0039-6060
    ISSN (online) 1532-7361
    ISSN 0039-6060
    DOI 10.1016/j.surg.2023.03.019
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Artificial intelligence in surgery: a global balancing act.

    Kewalramani, Divya / Loftus, Tyler J / Mayol, Julio / Narayan, Mayur

    The British journal of surgery

    2024  Volume 111, Issue 3

    MeSH term(s) Humans ; Artificial Intelligence ; General Surgery
    Language English
    Publishing date 2024-03-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 2985-3
    ISSN 1365-2168 ; 0263-1202 ; 0007-1323 ; 1355-7688
    ISSN (online) 1365-2168
    ISSN 0263-1202 ; 0007-1323 ; 1355-7688
    DOI 10.1093/bjs/znae062
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  3. Article ; Online: Introduction to the artificial intelligence in surgery series.

    Loftus, Tyler J

    Surgery

    2020  Volume 169, Issue 4, Page(s) 744–745

    MeSH term(s) Artificial Intelligence ; Clinical Decision-Making ; Decision Support Systems, Clinical ; Disease Management ; General Surgery/methods ; General Surgery/standards ; Humans
    Language English
    Publishing date 2020-10-21
    Publishing country United States
    Document type Editorial ; Introductory Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 202467-6
    ISSN 1532-7361 ; 0039-6060
    ISSN (online) 1532-7361
    ISSN 0039-6060
    DOI 10.1016/j.surg.2020.09.021
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  4. Article ; Online: The dilemma of consent for AI in healthcare.

    Balch, Jeremy A / Evans, Barbara J / Shickel, Benjamin / Bihorac, Azra / Upchurch, Gilbert R / Loftus, Tyler J

    Surgery

    2024  Volume 175, Issue 5, Page(s) 1456–1457

    MeSH term(s) Humans ; Health Facilities ; Delivery of Health Care ; Informed Consent
    Language English
    Publishing date 2024-02-27
    Publishing country United States
    Document type Editorial
    ZDB-ID 202467-6
    ISSN 1532-7361 ; 0039-6060
    ISSN (online) 1532-7361
    ISSN 0039-6060
    DOI 10.1016/j.surg.2024.01.019
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  5. Article ; Online: Artificial intelligence and gender bias in hiring surgeons and beyond.

    Loftus, Tyler J / Cochran, Amalia

    American journal of surgery

    2021  Volume 222, Issue 6, Page(s) 1050

    MeSH term(s) Artificial Intelligence ; Female ; Humans ; Male ; Personnel Selection ; Sexism ; Surgeons
    Language English
    Publishing date 2021-10-13
    Publishing country United States
    Document type Editorial ; Comment
    ZDB-ID 2953-1
    ISSN 1879-1883 ; 0002-9610
    ISSN (online) 1879-1883
    ISSN 0002-9610
    DOI 10.1016/j.amjsurg.2021.10.009
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  6. Article ; Online: Commentary: Machine learning in clinical decision-making.

    Filiberto, Amanda C / Donoho, Daniel A / Leeds, Ira L / Loftus, Tyler J

    Frontiers in digital health

    2023  Volume 5, Page(s) 1214111

    Language English
    Publishing date 2023-07-31
    Publishing country Switzerland
    Document type Journal Article ; Comment
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2023.1214111
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  7. Article ; Online: Postoperative Triage Hybrid Model: In Reply to Bellini and Bignami.

    Loftus, Tyler J / Balch, Jeremy A / Upchurch, Gilbert R / Bihorac, Azra

    Journal of the American College of Surgeons

    2023  Volume 237, Issue 2, Page(s) 390

    MeSH term(s) Humans ; Triage ; Magnetic Resonance Imaging
    Language English
    Publishing date 2023-05-15
    Publishing country United States
    Document type Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Letter ; Comment
    ZDB-ID 1181115-8
    ISSN 1879-1190 ; 1072-7515
    ISSN (online) 1879-1190
    ISSN 1072-7515
    DOI 10.1097/XCS.0000000000000747
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  8. Article ; Online: Surgical leadership: Ensuring financial stability through growth.

    Loftus, Tyler J / McDowell, Lonn D / Upchurch, Gilbert R

    Surgery

    2023  Volume 175, Issue 4, Page(s) 1218–1223

    Abstract: Maintaining financial stability is important for leaders in surgery because it (1) allows consistent, fair (market value) reimbursement for employees, which conveys that they are valued; (2) enables strategic investment in new programs that may not ... ...

    Abstract Maintaining financial stability is important for leaders in surgery because it (1) allows consistent, fair (market value) reimbursement for employees, which conveys that they are valued; (2) enables strategic investment in new programs that may not generate direct financial gains but are required; and (3) builds trust with stakeholders outside the department while strengthening the department's position in negotiations. Key strategies that we have used to increase revenue (income) over the past 6 years have been hiring more faculty, advocating for greater operating room and staffing capacity, staffing surgeons at other institutions using affiliation agreements, attempting to shift grant-funded efforts to non-clinical (research) faculty to mitigate National Institutes of Health salary cap penalties, and increasing efforts to identify external funding for educational and administrative tasks performed by surgeons (eg, increasing contact hours with medical students to secure a greater proportion of state general revenue). Using these strategies, our total revenue has increased 66% over the past 6 years, whereas Academic Support Agreement funds from the College of Medicine concurrently have decreased by 75%. Key strategies that we have used for curtailing expenses have been increasing clinic workflow efficiency; shifting advance practice provider contractual expenses and trainee indirect costs to the hospital; focusing on driving down delayed accounts receivable over time; and using net collections to preferentially invest in research likely to receive future external funding, for which indirect costs return to the department. Despite using these strategies, the total expenses of our department have increased 74% over the past 6 years, driven primarily by the doubling of clinic costs and contractual expenses for advance practice providers. These losses could theoretically be offset by (1) increasing billing by advance practice providers who can also facilitate excellent continuity of surgical care while allowing residents and fellows to shift their effort from service toward education and (2) increasing clinic capacity to generate increasing operative volumes. A department's financial stability is affected by complex interactions among several stakeholders, including the College of Medicine, faculty group practices, and hospitals, with competing interests. Leaders in surgery must understand and manage major categories of revenue and expenses to create a financially stable environment in which they can fulfill their multi-prong missions.
    MeSH term(s) Humans ; Leadership ; Income ; Financial Management ; Surgeons ; Costs and Cost Analysis
    Language English
    Publishing date 2023-10-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 202467-6
    ISSN 1532-7361 ; 0039-6060
    ISSN (online) 1532-7361
    ISSN 0039-6060
    DOI 10.1016/j.surg.2023.09.020
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  9. Article ; Online: Editorial: Machine Learning in Clinical Decision-Making.

    Filiberto, Amanda C / Leeds, Ira L / Loftus, Tyler J

    Frontiers in digital health

    2021  Volume 3, Page(s) 784495

    Language English
    Publishing date 2021-11-18
    Publishing country Switzerland
    Document type Editorial
    ISSN 2673-253X
    ISSN (online) 2673-253X
    DOI 10.3389/fdgth.2021.784495
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  10. Article ; Online: Digital Health Transformers and Opportunities for Artificial Intelligence-Enabled Nephrology.

    Shickel, Benjamin / Loftus, Tyler J / Ren, Yuanfang / Rashidi, Parisa / Bihorac, Azra / Ozrazgat-Baslanti, Tezcan

    Clinical journal of the American Society of Nephrology : CJASN

    2023  Volume 18, Issue 4, Page(s) 527–529

    MeSH term(s) Humans ; Artificial Intelligence ; Nephrology
    Language English
    Publishing date 2023-02-09
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2226665-3
    ISSN 1555-905X ; 1555-9041
    ISSN (online) 1555-905X
    ISSN 1555-9041
    DOI 10.2215/CJN.0000000000000085
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