Published on in Vol 9, No 3 (2021): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27767, first published .
Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study

Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study

Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study

Journals

  1. Xiang J, Roy A, Summers C, Delvy M, O’Donovan J, Christensen J, Dwy C, Perry L, Connery D, Rose M, Sheehan K, Chao H. Brief Report: Implementation of a Universal Prescreening Protocol to Increase Recruitment to Lung Cancer Studies at a Veterans Affairs Cancer Center. JTO Clinical and Research Reports 2022;3(7):100357 View
  2. Askin S, Burkhalter D, Calado G, El Dakrouni S. Artificial Intelligence Applied to clinical trials: opportunities and challenges. Health and Technology 2023;13(2):203 View
  3. Zeng J, Shufean M. Molecular-based precision oncology clinical decision making augmented by artificial intelligence. Emerging Topics in Life Sciences 2021;5(6):757 View
  4. Feehan M, Owen L, McKinnon I, DeAngelis M. Artificial Intelligence, Heuristic Biases, and the Optimization of Health Outcomes: Cautionary Optimism. Journal of Clinical Medicine 2021;10(22):5284 View
  5. Feuer Z, Matulewicz R, Basak R, Culton D, Weaver K, Gallagher K, Hung-Jui Tan , Rose T, Milowsky M, Bjurlin M. Non-oncology clinical trial engagement in a nationally representative sample: Identification of motivators and barriers. Contemporary Clinical Trials 2022;115:106715 View
  6. Lin B, Tan Z, Mo Y, Yang X, Liu Y, Xu B. Intelligent oncology: The convergence of artificial intelligence and oncology. Journal of the National Cancer Center 2023;3(1):83 View
  7. Shreve J, Khanani S, Haddad T. Artificial Intelligence in Oncology: Current Capabilities, Future Opportunities, and Ethical Considerations. American Society of Clinical Oncology Educational Book 2022;(42):842 View
  8. Chow R, Midroni J, Kaur J, Boldt G, Liu G, Eng L, Liu F, Haibe-Kains B, Lock M, Raman S. Use of artificial intelligence for cancer clinical trial enrollment: a systematic review and meta-analysis. JNCI: Journal of the National Cancer Institute 2023 View
  9. Küper A, Blanc-Durand P, Gafita A, Kersting D, Fendler W, Seibold C, Moraitis A, Lückerath K, James M, Seifert R. Is There a Role of Artificial Intelligence in Preclinical Imaging?. Seminars in Nuclear Medicine 2023;53(5):687 View
  10. Shriver S, Arafat W, Potteiger C, Butler D, Beg M, Hullings M, Semy S, Lister Z, Khosama L, Armstrong S, Hadley D, Pappa J, Fleury M. Feasibility of institution‐agnostic, EHR‐integrated regional clinical trial matching. Cancer 2024;130(1):60 View
  11. Ryan D, Maclean R, Balston A, Scourfield A, Shah A, Ross J. Artificial intelligence and machine learning for clinical pharmacology. British Journal of Clinical Pharmacology 2024;90(3):629 View
  12. Durden K, Hurley P, Butler D, Farner A, Shriver S, Fleury M. Provider motivations and barriers to cancer clinical trial screening, referral, and operations: Findings from a survey. Cancer 2024;130(1):68 View
  13. Miller M, Shih L, Kolachalama V. Machine Learning in Clinical Trials: A Primer with Applications to Neurology. Neurotherapeutics 2023;20(4):1066 View
  14. Shapiro M, Stuhlmiller T, Wasserman A, Kramer G, Federowicz B, Hoos W, Kaufman Z, Chuyka D, Mahoney W, Newton M, Osking Z, Wong K, Kesari S, Shrager J. AI-Augmented Clinical Decision Support in a Patient-Centric Precision Oncology Registry. AI in Precision Oncology 2024;1(1):58 View
  15. Ismail A, Al-Zoubi T, El Naqa I, Saeed H. The role of artificial intelligence in hastening time to recruitment in clinical trials. BJR|Open 2023;5(1) View
  16. Zhang B, Zhang L, Chen Q, Jin Z, Liu S, Zhang S. Harnessing artificial intelligence to improve clinical trial design. Communications Medicine 2023;3(1) View
  17. Brown S, Beavers C, Bauer B, Cheng R, Berman G, Marshall C, Guha A, Jain P, Steward A, DeCara J, Olaye I, Hansen K, Logan J, Bergom C, Glide-Hurst C, Loh I, Gambril J, MacLeod J, Maddula R, McGranaghan P, Batra A, Campbell C, Hamid A, Gunturkun F, Davis R, Jefferies J, Fradley M, Albert K, Blaes A, Choudhuri I, Ghosh A, Ryan T, Ezeoke O, Leedy D, Williams W, Roman S, Lehmann L, Sarkar A, Sadler D, Polter E, Ruddy K, Bansal N, Yang E, Patel B, Cho D, Bailey A, Addison D, Rao V, Levenson J, Itchhaporia D, Watson K, Gulati M, Williams K, Lloyd-Jones D, Michos E, Gralow J, Martinez H. Advancing the care of individuals with cancer through innovation & technology: Proceedings from the cardiology oncology innovation summit 2020 and 2021. American Heart Journal Plus: Cardiology Research and Practice 2024;38:100354 View
  18. Wang K, Cui H, Zhu Y, Hu X, Hong C, Guo Y, An L, Zhang Q, Liu L. Evaluation of an artificial intelligence-based clinical trial matching system in Chinese patients with hepatocellular carcinoma: a retrospective study. BMC Cancer 2024;24(1) View
  19. Gédor M, Desandes E, Chesnel M, Merlin J, Marchal F, Lambert A, Baudin A. Développement d’une solution d’intelligence artificielle pour améliorer le screening en recherche clinique. Bulletin du Cancer 2024;111(5):473 View
  20. Lajmi N, Alves-Vasconcelos S, Tsiachristas A, Haworth A, Woods K, Crichton C, Noble T, Salih H, Várnai K, Branford-White H, Orrell L, Osman A, Bradley K, Bonney L, McGowan D, Davies J, Prime M, Hassan A. Challenges and solutions to system-wide use of precision oncology as the standard of care paradigm. Cambridge Prisms: Precision Medicine 2024;2 View
  21. Tay S, Low G, Wong G, Tey H, Leong F, Li C, Chua M, Tan D, Thng C, Tan I, Tan R. Use of Natural Language Processing to Infer Sites of Metastatic Disease From Radiology Reports at Scale. JCO Clinical Cancer Informatics 2024;(8) View
  22. Foote H, Cohen-Wolkowiez M, Lindsell C, Hornik C. Applying Artificial Intelligence in Pediatric Clinical Trials: Potential Impacts and Obstacles. The Journal of Pediatric Pharmacology and Therapeutics 2024;29(3):336 View

Books/Policy Documents

  1. Pokhriyal P, Chavda V, Pathak M. Bioinformatics Tools for Pharmaceutical Drug Product Development. View
  2. Yu F. Clinical Informatics Study Guide. View