Research gap analyses
Page 17 of 19, ordered by evidence strength.
Showing 961–1,020 of 1,136 gap analyses · page 17 of 19
- False Positive/Negative Rates
The studies lack comprehensive error analysis, particularly in false positive and negative rates for machine learning models across various contexts such as pavement crack detection, deforestation prediction, employee performance monitoring, and threat identification in fog-IoT systems.
Computer Science · 2 papers · avg 2026 · strong evidence - Computational Efficiency and Scalability
The computational efficiency, scalability, and runtime performance of machine learning models in large-scale applications are not adequately addressed.
Computer Science · 2 papers · avg 2026 · moderate evidence - Black-box AI Models
There is a need for explainable artificial intelligence (XAI) techniques in various applications such as medical imaging, cybersecurity, and education to improve transparency and trustworthiness of black-box models.
Computer Science · 2 papers · avg 2026 · strong evidence - AI in Education
Future research should develop and test integrated frameworks that connect AI technologies, sustainability practices, and teacher professional development for K-12 classrooms.
Education · 2 papers · avg 2026 · moderate evidence - Scalability Across Varying Conditions
The performance of proposed models and systems under extreme conditions such as varying network topologies, large populations, diverse datasets, and dynamic environments remains unexplored.
Computer Science · 2 papers · avg 2026 · strong evidence - Resource-Constrained Device Deployment
Validation of AI models on resource-limited devices such as smartphones and edge devices is required for practical deployment in developing regions and field settings.
Agriculture · 2 papers · avg 2026 · moderate evidence - Model Validation
The studies collectively highlight the need for validation against observational data and independent models to strengthen findings in climate modeling, biogeochemical simulations, and earthquake analysis.
Earth Science · 2 papers · avg 2026 · moderate evidence - Data and Methodological Gaps
Most studies lack empirical validation or detailed environmental and social impact analyses of their proposed models or interventions.
Economics · 2 papers · avg 2026 · moderate evidence - Research Generalizability Across Contexts
There is a need to investigate how educational interventions, such as AI in medical education and gamification in CRM systems, generalize across diverse institutional settings, cultural contexts, and geographical regions.
Education · 2 papers · avg 2026 · strong evidence - Real-world Validation
The effectiveness of proposed methodologies in real-world scenarios is unaddressed, particularly for AI, smart systems, and organizational strategies.
Economics · 2 papers · avg 2026 · strong evidence - Educational Context Generalizability
The impact of educational interventions on student performance and teacher practices is context-specific, requiring further investigation across diverse geographical, institutional, and subject areas.
Education · 2 papers · avg 2026 · moderate evidence - Measurement and Metrics
The papers collectively call for more precise measurement methods, including objective metrics (Paper 1), specific behavioral metrics (Paper 3), detailed performance indicators (Papers 2, 5, 8), and outcome-based KPIs (Papers 9, 10).
Education · 2 papers · avg 2026 · strong evidence - Parameter Tuning and Sensitivity Analysis
There is a need for systematic parameter tuning mechanisms and sensitivity analysis for various algorithms (AHA in PID control, DLH-GWO in IoT scheduling, Nesterov acceleration in nonconvex optimization) across different application domains.
Engineering · 2 papers · avg 2025.5 · strong evidence - Empirical Parameter Selection
The empirical selection of key hyperparameters (such as exp_i, rdif, saturation constraint parameters, tiling parameter KA) in various algorithms and models is a recurring gap. These include PSNR/SSIM metrics, B-spline control points, initial conditions for consensus, fractional order parameters, and steaming parameters.
Biology · 2 papers · avg 2026 · strong evidence - Applicability Across Conditions
The applicability of the proposed methods and systems to different vibration sources, fluid types, grain varieties, flow regimes, industries, motor types, and delay ranges remains unexplored.
Engineering · 2 papers · avg 2026 · strong evidence - Clinical Translation and Validation
There is a need for clinical validation of AI-driven gene therapy designs using patient-derived cell models and animal disease models before human trials.
Biology · 2 papers · avg 2026 · moderate evidence - Randomized Controlled Trials
There is a need for large-scale, well-designed randomized controlled trials to validate findings and establish clinical efficacy of various interventions in diverse medical fields.
Computer Science · 2 papers · avg 2026 · strong evidence - Dose-related Research Gaps
Optimal dosing strategies for antipsychotics in elderly and renal-impaired patients need to be established through specific dose escalation schedules and clearance adjustment formulas.
Medicine · 2 papers · avg 2026 · moderate evidence - Primary Care Generalizability
There is a need for validation of clinical and diagnostic tools in diverse primary care settings beyond Tijuana, Mexico.
Medicine · 2 papers · avg 2024 · moderate evidence - Long-term Follow-up
The impact of interventions on long-term outcomes and recurrence rates in various medical conditions is not adequately addressed, requiring systematic longitudinal studies.
Education · 2 papers · avg 2026 · moderate evidence - AI in Medicine
Future research should focus on improving data quality and minimizing error risks due to AI system imperfections while addressing ethical and regulatory considerations across various medical fields.
Medicine · 2 papers · avg 2026 · strong evidence - Etiological Factors in Disease
The precise etiological factors and mechanisms underlying various diseases such as anemia, myopia, interstitial lung disease, and psychiatric disorders require further investigation.
Medicine · 2 papers · avg 2026 · moderate evidence - Database Incompleteness
Most studies rely on WoSCC and PubMed for literature retrieval, leading to potential underrepresentation of non-English publications, regional journals, or discipline-specific content.
Medicine · 2 papers · avg 2026 · moderate evidence - Economic and Scalability Gaps
There is a need to evaluate the long-term sustainability, environmental impacts, and scalability of integrated fertilization approaches in agriculture across different farm contexts.
Agriculture · 2 papers · avg 2026 · moderate evidence - Anesthetic and Surgical Factors
The impact of perioperative anesthetic techniques (e.g., TIVA vs. thoracic epidural) on postoperative cognitive outcomes in high-risk surgical populations requires further investigation.
Medicine · 2 papers · avg 2026 · moderate evidence - Interdisciplinary Collaboration
There is a need for ongoing interdisciplinary collaboration to address ethical transparency and explainability in AI-driven medical applications across various clinical contexts.
Engineering · 2 papers · avg 2026 · strong evidence - Sleep Assessment Methods
Most studies rely on subjective measures like PSQI without validating against objective methods such as polysomnography or actigraphy in various populations including PLHIV, RA patients, children post-cardiac surgery, and obstructive sleep apnea patients.
Medicine · 2 papers · avg 2026 · moderate evidence - Temperature-dependent behavior
The temperature-dependent behavior of physical properties such as thermal conductivity, magnetoresistive performance, and PL intensity needs further investigation across a broader range of temperatures.
Physics · 2 papers · avg 2026 · moderate evidence - Baseline Noise and Instability
There is a need for robust methods to mitigate baseline noise and instability in low-absorption regimes when extracting optical parameters such as band gap and Urbach energy.
Physics · 2 papers · avg 2026 · moderate evidence - Optical and Structural Characterization
The optimal model selection for true coincidence summing correction in gamma spectrometric measurements requires further investigation.
Physics · 2 papers · avg 2026 · moderate evidence - Synthesis Methods and Defects
The synthesis methods for two-dimensional materials and their defect states need further investigation. Specifically, large-scale wafer-scale protocols, semi-sealed CVD methods, and the use of EPR or XPS are underdeveloped.
Chemistry · 2 papers · avg 2025 · moderate evidence - Mathematics Anxiety Interventions
There is a need to comprehensively evaluate and compare the efficacy of different intervention strategies for reducing mathematics anxiety across diverse student populations and educational contexts.
Psychology · 2 papers · avg 2026 · strong evidence - Research Generalizability
Future studies must examine the effectiveness of coping strategies across diverse populations (socioeconomic status, cultural backgrounds, academic disciplines) and contexts to establish broader generalizability.
Education · 2 papers · avg 2026 · strong evidence - Institutional Interventions
There is a need to empirically evaluate the effectiveness of proposed institutional interventions (workshops, training programs) in enhancing student outcomes across various domains such as time management, technological literacy, and psychological support.
Education · 2 papers · avg 2026 · moderate evidence - Infrastructure and Technological Access
There is a need to investigate the impact of varying levels of internet connectivity, device availability, and technical support on the adoption and effectiveness of technology in diverse educational and social service contexts.
Education · 2 papers · avg 2026 · strong evidence - Residual Confounding and Bias
Most studies cannot exclude residual confounding or bias due to retrospective design, unmeasured factors, and potential selection issues.
Medicine · 6 papers · avg 2026 · moderate evidence - Research Methodology and Generalizability
Most studies focus on specific populations or contexts without addressing generalizability of findings. There is a need for larger, more diverse sample sizes and cross-context validation.
Education · 6 papers · avg 2026 · moderate evidence - Scalability of Industrial Production
The scalability from laboratory to industrial production for green synthesis methods and materials has not been addressed in these studies.
Biology · 5 papers · avg 2024.6 · strong evidence - Sample Size and Generalizability
Future research should involve larger sample sizes to enhance generalizability of findings across different populations and settings.
Education · 5 papers · avg 2026 · strong evidence - Generalizability of Medical Research
The generalizability and applicability of findings to diverse patient populations and healthcare settings are unaddressed in most studies.
Medicine · 5 papers · avg 2024.4 · moderate evidence - Short-term follow-up
Most studies lack long-term follow-up beyond 12 months to assess durability and sustainability of interventions in various clinical populations.
Medicine · 5 papers · avg 2026 · moderate evidence - Retrospective Bias
Most studies rely on retrospective data collection methods, which may introduce selection and recall biases. Future research should focus on prospective validation.
Medicine · 5 papers · avg 2026 · moderate evidence - Scalability in Synthesis Methods
The scalability of synthesis methods from laboratory to industrial scales for various materials and compounds has not been addressed.
Chemistry · 4 papers · avg 2025 · strong evidence - Scalability of Industrial Production
The industrial scalability and manufacturing process validation for large-scale production of various bio-based materials and products are unaddressed.
Chemistry · 4 papers · avg 2026 · strong evidence - Temporal Variations
The studies collectively point to the need for temporal analysis of microbial dynamics in various environments, including air quality, soil bacterial networks, groundwater contamination, and heavy metal pollution.
Biology · 4 papers · avg 2026 · strong evidence - Environmental Contaminants
The impact of long-term, low-dose exposure to microplastics on liver health and cumulative effects requires experimental validation.
Biology · 4 papers · avg 2026 · moderate evidence - Real-world Validation
There is a need for real-world validation of AI models across diverse environments and datasets in fields such as finance, environmental monitoring, cybersecurity, and IoT systems.
Computer Science · 4 papers · avg 2026 · strong evidence - Long-term Durability Testing
There is a lack of long-term durability testing for materials and systems under actual operating conditions in aerospace applications.
Engineering · 4 papers · avg 2026 · moderate evidence - Long-term patient outcomes
There is a need for long-term follow-up studies to assess the sustainability and effectiveness of interventions in various medical conditions such as obesity, diabetes, cancer, and respiratory infections.
Medicine · 4 papers · avg 2023.8 · strong evidence - Clinical Practice Guidelines
There is a need for standardized diagnostic and treatment guidelines across various medical conditions, including ischemic stroke, abdominal epilepsy, rapid atrial fibrillation, and CDK4/6 inhibitor therapy, to harmonize clinical protocols with existing recommendations.
Medicine · 4 papers · avg 2022.5 · moderate evidence - Long-term follow-up and multicenter studies
There is a need for longer-term follow-up and multicenter prospective studies to confirm the efficacy, safety, and generalizability of various medical interventions.
Medicine · 4 papers · avg 2026 · moderate evidence - Wide Confidence Intervals
The studies indicate wide confidence intervals in their estimates due to small sample sizes and heterogeneity, suggesting a need for larger, more homogeneous datasets.
Medicine · 4 papers · avg 2025.8 · moderate evidence - Solid Tumor Research Gaps
Validation of new molecular probes and imaging techniques for diverse solid tumors beyond neuroblastoma, gastric cancer, and non-small cell lung cancer.
Medicine · 4 papers · avg 2024.5 · moderate evidence - Translational Research Gaps
The clinical applicability of preclinical findings in various animal models needs further validation.
Biology · 3 papers · avg 2026 · strong evidence - Research Methodologies and Populations
Future research should employ longitudinal designs and experimental studies to examine the impact of GenAI on actual writing outcomes and sustained academic development across underrepresented regions such as Africa, South America, and Australia.
Education · 3 papers · avg 2026 · strong evidence - Environmental Pollutant Exposure Assessment
Current methods for assessing environmental pollutant exposure, such as in silico predictions and grab sampling, fail to capture real-world mixed exposures and true maximum concentrations. Future research should adopt exposomic approaches with continuous or high-frequency temporal sampling.
Biology · 3 papers · avg 2026 · moderate evidence - Geographic and Temporal Generalizability
Generalization of machine learning models across different geographic regions, time periods, and environmental conditions requires further investigation.
Earth Science · 3 papers · avg 2026 · strong evidence - Hand Gesture Recognition
There is a need for robust hand gesture recognition methods that can handle occlusions, complex backgrounds, varying distances from the camera, and glove wear in real-time presentation scenarios.
Computer Science · 3 papers · avg 2026 · strong evidence - Reinforcement Learning and Offline Methods
Future work should focus on simulation-based safety testing, prospective clinical validation, and personalization strategies for offline reinforcement learning methods in blood glucose management.
Computer Science · 3 papers · avg 2026 · moderate evidence - Real-world validation
There is a lack of real-world implementation and long-term performance validation for systems proposed in these engineering papers.
Engineering · 3 papers · avg 2026 · strong evidence