ReviewAmerican journal of translational research2024
Progress in the application of artificial intelligence in skin wound assessment and prediction of healing time.
Review in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The intelligent lift: Artificial Intelligence's growing role in plastic surgery - a comprehensive review.Frontiers in surgery · 2025Pooled it
- TransUNet-GradCAM: a hybrid transformer-U-Net with self-attention and explainable visualizations for foot ulcer segmentation.BMC medical imaging · 2026Article
- Review
- Artificial Intelligence in Inherited Epidermolysis Bullosa: Current Evidence, Challenges, and Future Directions.Diagnostics (Basel, Switzerland) · 2026Review
- Promoting skin regeneration: research progress on hydrogel wound dressings related to scarless healing.Journal of Zhejiang University. Science. B · 2026Review
- Open Pilonidal Excision as a Translational Human Model for Wound Healing and Skin Regeneration Research.Biomedicines · 2026Review
- AI-guided wound closure: complementing surgical judgment.Annals of medicine and surgery (2012) · 2026Article
- Stimuli-Responsive Nanomaterial-Based Biosensor Structures for Wound Care: pH, ROS, and Temperature Sensing Strategies.Micromachines · 2026Review
- Machine Learning Applications for Venous Ulcer Assessment and Wound Care: A Review.Diagnostics (Basel, Switzerland) · 2026Review
- Use of Artificial Intelligence in Burn Assessment: A Scoping Review with a Large Language Model-Generated Decision Tree.European burn journal · 2026Review
- Infection-driven proliferative phase impairment in chronic wounds: a mechanistic framework for precision regenerative therapy.Frontiers in immunology · 2026Review
- Monitoring and evaluation of an artificial intelligence-enhanced wound care intervention in a rural health network: defining stakeholder expectations and shared priorities.Frontiers in digital health · 2026Article
- Smart Healing for Wound Repair: Emerging Multifunctional Strategies in Personalized Regenerative Medicine and Their Relevance to Orthopedics.Antibiotics (Basel, Switzerland) · 2026Review
- Integrating platelet-rich plasma therapy into nursing practice: a review of biological mechanisms and clinical applications.Frontiers in bioengineering and biotechnology · 2026Review
- Biological Models for Evaluating Hydrogel-Based Formulations in Wound Healing.Gels (Basel, Switzerland) · 2025Review
- Advanced 3PM strategies in traditional Chinese medicine gels for wound healing integrating 3D/4D printing, network pharmacology and multiomics technologies.The EPMA journal · 2025Review
- Developing an AI-powered wound assessment tool: a methodological approach to data collection and model optimization.BMC medical informatics and decision making · 2025Observational
- Fabrication and Characterization of Flexible pH Sensors Based on Pulsed Laser-Ablated Graphene/MoSNanomaterials (Basel, Switzerland) · 2025Article
- Assessing Clinician Consistency in Wound Tissue Classification and the Value of AI-Assisted Quantification: A Cross-Sectional Study.International wound journal · 2025Article
- Dermatoscopic Patterns in Mycosis Fungoides: Observations from a Case-Series Retrospective Analysis and a Review of the Literature.Diagnostics (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since the 1970s, artificial intelligence (AI) has played an increasingly pivotal role in the medical field, enhancing the efficiency of disease diagnosis and treatment. Amidst an aging population and the proliferation of chronic disease, the prevalence of complex surgeries for high-risk multimorbid patients and hard-to-heal wounds has escalated. Healthcare professionals face the challenge of delivering safe and effective care to all patients concurrently. Inadequate management of skin wounds exacerbates the risk of infection and complications, which can obstruct the healing process and diminish patients' quality of life. AI shows substantial promise in revolutionizing wound care and management, thus enhancing the treatment of hospitalized patients and enabling healthcare workers to allocate their time more effectively. This review details the advancements in applying AI for skin wound assessment and the prediction of healing timelines. It emphasizes the use of diverse algorithms to automate and streamline the measurement, classification, and identification of chronic wound healing stages, and to predict wound healing times. Moreover, the review addresses existing limitations and explores future directions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.