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Barinov L, Jairaj A, Becker M, Seymour S, Lee E, Schram A, Lane E, Goldszal A, Quigley D, Paster L. Impact of Data Presentation on Physician Performance Utilizing Artificial Intelligence-Based Computer-Aided Diagnosis and Decision Support Systems. J Digit Imaging 2020; 32:408-416. [PMID: 30324429 PMCID: PMC6499739 DOI: 10.1007/s10278-018-0132-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Ultrasound (US) is a valuable imaging modality used to detect primary breast malignancy. However, radiologists have a limited ability to distinguish between benign and malignant lesions on US, leading to false-positive and false-negative results, which limit the positive predictive value of lesions sent for biopsy (PPV3) and specificity. A recent study demonstrated that incorporating an AI-based decision support (DS) system into US image analysis could help improve US diagnostic performance. While the DS system is promising, its efficacy in terms of its impact also needs to be measured when integrated into existing clinical workflows. The current study evaluates workflow schemas for DS integration and its impact on diagnostic accuracy. The impact on two different reading methodologies, sequential and independent, was assessed. This study demonstrates significant accuracy differences between the two workflow schemas as measured by area under the receiver operating curve (AUC), as well as inter-operator variability differences as measured by Kendall’s tau-b. This evaluation has practical implications on the utilization of such technologies in diagnostic environments as compared to previous studies.
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Affiliation(s)
- L Barinov
- Koios Medical, New York, NY, USA. .,Princeton University, Princeton, NJ, USA. .,Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
| | - A Jairaj
- Koios Medical, New York, NY, USA
| | - M Becker
- Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ, USA.,University Radiology Group, East Brunswick, NJ, USA
| | | | - E Lee
- Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ, USA.,University Radiology Group, East Brunswick, NJ, USA
| | - A Schram
- Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ, USA.,University Radiology Group, East Brunswick, NJ, USA
| | - E Lane
- University Radiology Group, East Brunswick, NJ, USA
| | - A Goldszal
- Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ, USA.,University Radiology Group, East Brunswick, NJ, USA
| | - D Quigley
- University Radiology Group, East Brunswick, NJ, USA
| | - L Paster
- Rutgers University Robert Wood Johnson Medical School, New Brunswick, NJ, USA.,University Radiology Group, East Brunswick, NJ, USA
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Cai CJ, Winter S, Steiner D, Wilcox L, Terry M. "Hello AI": Uncovering the Onboarding Needs of Medical Practitioners for Human-AI Collaborative Decision-Making. ACTA ACUST UNITED AC 2019. [DOI: 10.1145/3359206] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Lotte R, Lafourcade A, Mozer P, Conort P, Barret E, Comperat E, Ezziane M, de Guibert PHJ, Tavolaro S, Belin L, Boudghene F, Lucidarme O, Renard-Penna R. Multiparametric MRI for Suspected Recurrent Prostate Cancer after HIFU:Is DCE still needed? Eur Radiol 2018; 28:3760-3769. [DOI: 10.1007/s00330-018-5352-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2017] [Accepted: 01/23/2018] [Indexed: 01/28/2023]
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Detection of locally radio-recurrent prostate cancer at multiparametric MRI: Can dynamic contrast-enhanced imaging be omitted? Diagn Interv Imaging 2016; 97:433-41. [PMID: 26928245 DOI: 10.1016/j.diii.2016.01.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2015] [Revised: 01/17/2016] [Accepted: 01/26/2016] [Indexed: 11/21/2022]
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