Third, significant methodological inconsistencies exist
Research gap analysis derived from 3 computer_science papers in our local library.
The gap
Third, significant methodological inconsistencies exist across studies. Researchers employ different performance indicators, data preprocessing methods, validation techniques, and evaluation metrics. This variation complicates comparative a
Evidence profile
Sourced from the semantic:gap in literature of the source papers, classified as empirical-gap, spanning 3 journals. Those papers have been cited 1 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Pose Estimation Frameworks in Healthcare: A Systematic Review (2026) · Journal of Applied Engineering and Technological Science (JAETS) · doi
Despite significant progress, several critical challenges remain in the current literature. First, there is a lack of standardized evaluation metrics. Studies employ diverse performance indicators such as accuracy, precision/recall, and latency, making cross-study comparison difficult (Gopal et al., 2023). Second, dataset variability poses a major limitation.
empirical-gapsemantic:gap in literatureevidence 4/5 - Applications of Artificial Intelligence in Endobronchial Ultrasound for Lung Cancer Diagnosis and Staging: A Scoping Review (2026) · Current Oncology · cited 1× · doi
or standardized comparison of performance metrics across studies was conducted. However, the review protocol and methodological framework were registered and made publicly available through the Open Science Framework (OSF) [49], representing an im- portant methodological strength by enhancing the transparency, reproducibility, and credibility of the review process.
empirical-gapsemantic:gap in literatureevidence 4/5 - Machine Learning-Driven Construction Management: Enhancing Productivity, Quality, and Sustainability (2026) · International Journal of Creative and Open Research in Engineering and Management · doi
Third, significant methodological inconsistencies exist across studies. Researchers employ different performance indicators, data preprocessing methods, validation techniques, and evaluation metrics. This variation complicates comparative assessment and limits the development of unified implementation guidelines [51,52,53,54,55,56].
empirical-gapsemantic:gap in literatureevidence 4/5
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