Research gap analyses
Page 16 of 19, ordered by evidence strength.
Showing 901–960 of 1,136 gap analyses · page 16 of 19
- Generalizability of Findings
Most studies lack external validation in diverse populations or settings, questioning the generalizability of their findings.
Medicine · 10 papers · avg 2026 · moderate evidence - Psychological Impact and Interventions
Standardized assessment tools and psychological interventions for anxiety and depression in chronic conditions like SLE, BMS, and palliative care are needed.
Psychology · 10 papers · avg 2038.1 · moderate evidence - AI in Education
There is a need for comprehensive frameworks and guidelines to implement artificial intelligence in higher education across different institutional contexts.
Education · 9 papers · avg 2025.8 · strong evidence - Clinical Practice Integration
Standardization and validation of AI-assisted imaging, molecular probes, and multiparametric techniques in routine clinical practice are needed.
Medicine · 8 papers · avg 2023.8 · moderate evidence - Bladder Volume Control in Radiation Therapy
Further research is needed to develop an intelligent volume control system integrating elastic imaging and four-dimensional CT technologies for real-time bladder volume regulation during pelvic radiotherapy.
Medicine · 8 papers · avg 2024.6 · strong evidence - Research Generalizability
The need for multi-center studies to address potential referral bias and ensure generalizability of findings in various healthcare settings.
Medicine · 8 papers · avg 2025.1 · moderate evidence - Research Design and Measurement
Future research should employ longitudinal or experimental designs to establish causal relationships between constructs such as digital mindfulness engagement, emotion regulation, self-compassion, and psychological wellbeing in children.
Psychology · 8 papers · avg 2026 · moderate evidence - Dataset Generalizability
The generalizability of AI models across diverse datasets and populations needs validation.
Computer Science · 7 papers · avg 2025.9 · moderate evidence - Generalizability Across Healthcare Settings
There is a need to validate findings across different geographic regions, healthcare settings, and populations for studies on clinical outcomes, quality of care, and resource management.
Medicine · 7 papers · avg 2024.1 · strong evidence - Temperature Effects in Thin Film Synthesis
The effects of a broader range of annealing and rinsing temperatures on the properties of thin films synthesized by chemical bath deposition, SILAR, and other methods need to be systematically investigated.
Physics · 7 papers · avg 2024.6 · strong evidence - Computational Scalability
The computational complexity and scalability of methods to large-scale problems are unexplored for most techniques presented in these papers.
Biology · 6 papers · avg 2026 · moderate evidence - Atmospheric Chemistry Models
Improving atmospheric chemistry models to better incorporate regional and seasonal factors such as photochemical lifetimes, boundary layer mixing, and contributions from soil NOx and fire emissions is needed.
Earth Science · 6 papers · avg 2026 · moderate evidence - Randomized Controlled Trials
Most studies suggest that non-randomized designs limit causal inference and recommend rigorous, randomized controlled trials to validate interventions in their respective fields.
Medicine · 6 papers · avg 2025 · moderate evidence - Subjectivity in Measurement and Analysis
There is a need for more objective methods to reduce variability in pain assessment scales and selection effects in sample studies.
Medicine · 5 papers · avg 2026 · moderate evidence - Long-term Follow-up
Prospective clinical studies are needed to assess long-term outcomes and treatment responses in various medical conditions, including post-operative tongue carcinoma, EFNA3 expression in gastric cancer, rare Mendelian disorders, acute T-lymphoid leukemia, airway remodeling in asthma, metabolic liver disease, total ankle replacement, muscle dysregulation in inclusion body myositis, nutrition-related complications, diabetic macular edema, and cardiomyopathies in ADPKD.
Medicine · 5 papers · avg 2025 · moderate evidence - Parameter Range Limitations
The behavior of systems outside specific parameter ranges (0 < β < 20 for cavity solitons, κ ∈ (0,1/2) for SPDEs, and others) requires further investigation.
Physics · 4 papers · avg 2025.7 · moderate evidence - Educational Research Generalizability
The studies focus on specific populations and topics, limiting generalizability to other educational contexts, grade levels, and geographic regions.
Education · 3 papers · avg 2026 · moderate evidence - AI in Education
Future research should explore optimal integration methods and long-term impacts of AI tools on teaching practices and learning outcomes across K-12 and higher education.
Education · 3 papers · avg 2026 · strong evidence - Metal Complexes and Ligands
The applicability of computational methods to predict the binding affinity and structural parameters for metal complexes with various ligands and metals beyond those studied remains unexplored.
Chemistry · 3 papers · avg 2025.7 · moderate evidence - Pharmacological Evaluation
Most studies fail to perform in vivo pharmacological evaluations or broader biological tests on synthesized compounds, despite predicting their efficacy through computational methods.
Chemistry · 3 papers · avg 2025.7 · strong evidence - AI in Education
The impact of AI training programs and institutional policies on reducing ethical concerns among educators should be studied.
Computer Science · 3 papers · avg 2026 · moderate evidence - Clinical Translation
There is a need for clinical validation and translation of preclinical findings into therapeutic interventions for diseases such as inflammatory bowel disease, glioblastoma, cardiomyopathies, and diabetes.
Biology · 3 papers · avg 2024.3 · strong evidence - External Validation
There is a need for multi-center studies across different ethnic populations, geographic regions, and healthcare settings to validate findings from single-center studies.
Medicine · 3 papers · avg 2025.7 · moderate evidence - Real-world validation
Most studies rely on retrospective or controlled settings; future research should validate findings in real-world clinical populations and settings.
Medicine · 3 papers · avg 2026 · moderate evidence - Self-reported Data Issues
The impact of self-reported data on the accuracy and reliability of medical outcomes in various populations remains unclear.
Education · 3 papers · avg 2026 · moderate evidence - Educational Assessment Methods
Validated assessment tools for critical thinking and ethical competencies in AI education are needed, particularly for diverse student populations and contexts.
Education · 2 papers · avg 2024.5 · moderate evidence - AI in Education
The impact of AI on students' critical thinking skills requires further examination using diverse methodological approaches and validated instruments across different populations and disciplines.
Education · 2 papers · avg 2026 · moderate evidence - Material and Process Stability
The thermal stability and long-term durability of materials under multiple reprocessing cycles need to be systematically investigated. Specifically, the effects on mechanical properties and performance stability should be evaluated.
Biology · 2 papers · avg 2026 · moderate evidence - Measurement and Validation Gaps
Most studies lack validated measurement tools or broad generalizability across diverse populations and settings.
Education · 2 papers · avg 2026 · moderate evidence - Computational Complexity and Scalability
The papers collectively leave open questions regarding the computational complexity and scalability of their proposed methods to larger datasets or more complex scenarios.
Biology · 2 papers · avg 2026 · strong evidence - Institutional Guidelines for AI
Higher education institutions need to develop and standardize guidelines for the use of artificial intelligence in academic activities, including assessment, writing support, and research.
Education · 2 papers · avg 2026 · strong evidence - Safety and Off-target Effects
Systematic evaluation of adverse effects and off-target toxicity is needed for therapeutic approaches targeting RNF20, CD24, lncRNA-LNP delivery systems, CCHF antiviral drugs, and stress granule modulators in clinical settings.
Biology · 2 papers · avg 2026 · strong evidence - NGAL in Pediatrics
More clinical investigations are needed to establish NGAL as a routine diagnostic and prognostic biomarker in pediatric practice.
Biology · 2 papers · avg 2025 · strong evidence - Industrial Scale Implementation
The scalability of laboratory-scale methods to industrial manufacturing processes for metal-free catalysts, wastewater treatment, hydrogen evolution, organic oxidation reactions, and protein production needs to be addressed.
Chemistry · 2 papers · avg 2026 · strong evidence - Concentration-dependent effects
The concentration-dependent effects of various treatments on cell viability, migration, and other biological responses need to be evaluated.
Biology · 2 papers · avg 2026 · strong evidence - Numerical Methods and Their Comparisons
There is a need to compare proposed numerical methods (Adams-Bashforth scheme, Runge-Kutta methods) across different models (fractional-order chaotic systems, nonlinear transport problems) in terms of computational cost, accuracy, and stability.
Computer Science · 2 papers · avg 2026 · moderate evidence - Long-term educational outcomes
The studies collectively identify a need for longitudinal assessments of sustained engagement and long-term retention of learning outcomes in various digital and interactive educational interventions targeting different populations.
Education · 2 papers · avg 2026 · strong evidence - Bioactive Compound Stability and Activity
The long-term stability of bioactive compounds in various storage conditions and their biological activity need to be evaluated for different plant extracts.
Biology · 2 papers · avg 2026 · moderate evidence - Generalizability Across Contexts
There is a need to investigate whether findings from single-school studies (such as those focusing on specific teaching methods or student populations) can be generalized to other schools, grade levels, and educational contexts.
Computer Science · 2 papers · avg 2026 · strong evidence - Variance Unexplained
Multiple studies across diverse fields find that existing models explain only a portion of variance (ranging from 15% to 82.8%), indicating unexplored factors such as socio-cultural, ecological, regulatory, and individual differences.
Education · 2 papers · avg 2026 · moderate evidence - Single Case Studies
The studies rely on single case reports or limited samples, necessitating broader validation across diverse populations and settings.
Medicine · 2 papers · avg 2019.5 · strong evidence - Multi-target modulation in biology
There is a lack of research on designing multitarget compounds capable of simultaneously modulating multiple pathways (e.g., cholinesterases, MAO-B, oxidative stress, inflammation, and amyloid pathways) in biological systems.
Biology · 2 papers · avg 2024 · moderate evidence - Small Sample Size and Generalizability
More research is needed to validate findings in larger, diverse populations for chronic sodium cyclamate administration (n=20), erector spinae plane block studies (16 cats), Gazania rigens leaf extract experiments (no specific number given), and NGAL determination in pediatric patients with asthma, sepsis, or kidney diseases.
Biology · 2 papers · avg 2026 · moderate evidence - Cross-Technology Validation
There is a lack of validation for new methods and technologies across different photovoltaic device architectures and cancer cell models.
Biology · 2 papers · avg 2026 · moderate evidence - Aggregation Methods in Fuzzy Sets
There is a need to compare different aggregation methods (such as IFWA vs. IFWG or Choquet integral) within fuzzy set frameworks to understand their relative impacts on decision-making and environmental pollution quality control.
Earth Science · 2 papers · avg 2026 · moderate evidence - Developmental Stage Specificity
The impact of developmental stage on gene expression and cellular processes requires comprehensive analysis across multiple tissues and stages using standardized methods.
Biology · 2 papers · avg 2025 · moderate evidence - Sample and Population Generalizability
There is a need to expand sample populations across age ranges in studies examining effort exertion for information (1), video game play effects on spatial ability (4), and lymphatic pumping technique efficacy (7).
Biology · 2 papers · avg 2026 · moderate evidence - Molecular Marker Techniques
There is a need for comparative analysis of different molecular marker techniques (such as RAPD, ISSR, SCoT) to assess genetic diversity in plants like cowpea and Pistacia, considering their relative costs, resource intensity, and impacts on study organisms.
Biology · 2 papers · avg 2026 · moderate evidence - Life Cycle Assessment Gaps
There is a need for unified and comprehensive life cycle assessments (LCAs) across various bio-based materials and products to address inconsistencies in environmental impact evaluations.
Computer Science · 2 papers · avg 2026 · strong evidence - Electron Transfer Mechanisms
The specific roles and quantification of electron transfer mechanisms in various materials and systems (e.g., nanosilica, biofilms, photocatalysts) remain underexplored.
Biology · 2 papers · avg 2026 · moderate evidence - Educational Technology Implementation
More research is needed on the scalability and contextual factors affecting the implementation of Problem-Based Learning (PBL) integrated e-learning in diverse educational settings.
Education · 2 papers · avg 2026 · strong evidence - Bacterial Strain Generalizability
Further testing is needed to validate the general applicability of findings across different bacterial strains and species in studies involving antimicrobial activity, biophotocatalysis, and pathogenicity.
Chemistry · 2 papers · avg 2026 · strong evidence - Developmental Biology
The relationship between gene expression patterns and developmental stages across multiple tissue types needs systematic validation in various organisms.
Biology · 2 papers · avg 2019.5 · moderate evidence - Microbiome Analysis Methods
Most studies rely on 16S rRNA sequencing for microbiome analysis but lack functional insights and comprehensive diversity metrics such as alpha and beta diversity indices.
Agriculture · 2 papers · avg 2026 · strong evidence - Ethical and Methodological Safeguards in AI
The papers collectively leave open how to implement ethical safeguards and methodological rigor in AI systems across diverse applications such as companion AI, sustainability management, and education policy.
Computer Science · 2 papers · avg 2026 · moderate evidence - Redox Biology in Prostatic Enlargement
The specific redox-dependent mechanisms by which adipose tissue, fibroblasts, and senescent cells contribute to oxidative stress and BPH progression need investigation.
Medicine · 2 papers · avg 2026 · strong evidence - Model Optimization for Edge Devices
There is a need to optimize deep learning models (pruning, quantization, knowledge distillation) for real-time deployment on edge devices and mobile platforms in various applications such as emotion recognition, face generation, retail checkout systems, and intrusion detection.
Computer Science · 2 papers · avg 2026 · strong evidence - Detection Accuracy and False Negatives
There is a need to improve detection accuracy and reduce false negatives in deep learning models for various applications such as fraud detection, breast cancer tumor detection, and smart kitchen hygiene monitoring.
Computer Science · 2 papers · avg 2026 · moderate evidence - Computational Scalability
The computational scalability of machine learning models (such as HieDil-P2CAN, ANHP, PINNs) when applied to larger datasets or more complex systems remains unexplored.
Computer Science · 2 papers · avg 2026 · moderate evidence - Clinical Validation and Inter-Rater Agreement
There is a lack of clinical validation studies and inter-rater agreement assessments for deep learning models in medical imaging, particularly regarding radiologist interpretation consistency.
Computer Science · 2 papers · avg 2026 · strong evidence