FHSLA 2025 Annual Meeting: Conference Readings & Posters

TGH Medical Library
Presented by: Jaclyn Castek

USF Health Libraries
Presented by: Julie Evener

Panel Presentations

Links from Presentations

Additional Resources for Consideration

• Chen, Li-Xian, Shih-Wen Su, Chia-Hung Liao, Kai-Sin Wong, and Shyan-Ming Yuan. “An Open Automation System for Predatory Journal Detection.” Scientific Reports 13, no. 1 (February 20, 2023): 2976. https://doi.org/10.1038/s41598-023-30176-z
• Ferreras-Perez, Jennifer, Philip Shen, and Jesus Alberto Galvan. “Identifying Reputable and Non-Reputable Journal Articles Using Machine Learning.” In Applied Research Approaches to Technology, Healthcare, and Business, 318–31. IGI Global, 2023. https://doi.org/10.4018/979-8-3693-1630-6.ch021.
• Saini, Shalini, and Nitesh Saxena. “A Survey of Threats to Research Literature Dependent Medical AI Solutions.” ACM Computing Surveys, April 13, 2023, 3592597. https://doi.org/10.1145/3592597
• Tang, Bor Luen. “Are There Accurate and Legitimate Ways to Machine-Quantify Predatoriness, or an Urgent Need for an Automated Online Tool?” Accountability in Research 32, no. 2 (February 17, 2025): 182–87. https://doi.org/10.1080/08989621.2023.2253425
• Teixeira Da Silva, Jaime A., and Timothy Daly. “The Diagnostic Accuracy of AI-Based Predatory Journal Detectors: An Analogy to Diagnosis.” Diagnosis 0, no. 0 (April 27, 2023). https://doi.org/10.1515/dx-2023-0039.
• Wu, Jinhong, Tianye Liu, Keliang Mu, and Lei Zhou. “Identification and Causal Analysis of Predatory Open Access Journals Based on Interpretable Machine Learning.” Scientometrics, March 11, 2024. https://doi.org/10.1007/s11192-024-04969-6

Library Bingo
Janet Chan & Allison Howard

Graduate Library Orientation for Master Occupational Therapy Students: Comparing Short Videos vs. Research Consultation
Mary Rickelman & Dr. Chia-Wei Fan

A scoping review for assistive technologies for healthy ageing: An international conversation
Ardis Hanson