Investigation of Pressure Injuries With Visual ChatGPT Integration: A Descriptive Cross‐Sectional Study DOI Open Access
Pelin Karaçay, Polat Göktaş, Özgen Yaşar

et al.

Journal of Advanced Nursing, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

ABSTRACT Aim This study aimed to assess the performance of Visual ChatGPT in staging pressure injuries using real patient images, compare it manual by expert nurses, and evaluate its applicability as a supportive tool wound care management. Design used descriptive comparative cross‐sectional design. Methods The analysed 155 injury images from hospital database, staged nurses National Pressure Injury Advisory Panel guidelines. ChatGPT's was tested two scenarios: with only plus characteristics. Diagnostic evaluated, including sensitivity, specificity, accuracy, inter‐rater agreement (Kappa). Results Expert demonstrated superior accuracy specificity across most stages. performed comparably early‐stage injuries, especially when characteristics were included, but struggled unstageable deep‐tissue injuries. Conclusion shows potential an artificial intelligence for management nursing. However, improvements are necessary complex cases, ensuring that complements clinical judgement. Implications Profession and/or Patient Care can serve innovative settings, assisting less experienced those areas limited specialists managing Reporting Method STROBE checklist followed reporting studies line relevant EQUATOR Contribution No or public contribution.

Language: Английский

Advancements in Wound Dressing Materials: Highlighting Recent Progress in Hydrogels, Foams, and Antimicrobial Dressings DOI Creative Commons

A. S. Alberts,

Dana-Ionela Tudorache,

Adelina-Gabriela Niculescu

et al.

Gels, Journal Year: 2025, Volume and Issue: 11(2), P. 123 - 123

Published: Feb. 7, 2025

Recent advancements in wound dressing materials have significantly improved acute and chronic management by addressing challenges such as infection control, moisture balance, enhanced healing. Important progress has been made, especially with hydrogels, foams, antimicrobial for creating optimized dressings. Hydrogels are known maintaining optimal levels, while foam dressings excellent exudate absorbents. Meanwhile, incorporates various agents to reduce risks. These options healing time focusing on customized patient needs. Therefore, this review highlights the newest research prototypes applications, emphasizing their particular benefits clinical importance. Innovations stimuli-responsive hydrogels hybrid bioengineered composites discussed relation properties, including responsiveness pH, temperature, glucose, or enzymes drug delivery precision. Moreover, ongoing trials included, demonstrating potential of emerging solutions be soon translated from laboratory settings. By discussing interdisciplinary approaches that integrate advanced materials, nanotechnology, biological insights, work provides a contemporary framework patient-centric, efficient care strategies.

Language: Английский

Citations

7

A Review of Wearable Electroceutical Devices for Chronic Wound Healing DOI Open Access
Ali Abba Mutah,

Joseph Amitrano,

Mark Seeley

et al.

Electronics, Journal Year: 2025, Volume and Issue: 14(7), P. 1376 - 1376

Published: March 29, 2025

A chronic wound is a that fails to progress through the normal stages of healing within typical time frame, often remaining open and unhealed for more than 4 6 weeks. The delayed associated with comorbidities, its clinical consequences have posed great concern patients, caregivers, researchers. use electrostimulation enhance in wounds has received attention last 20 years. Innovative wearable electroceutical devices are engineered while prioritizing patient convenience. These employ controlled micro-electrostimulation reactivate endogenous bioelectric activities needed cellular signaling. However, these their mechanisms not been fully explored. In this systematic review, three databases articles published between 2000 2023 were searched screened using strict inclusion criteria adhering PRISMA checklist. We identified direct, pulsed, alternating electric currents as primary modalities by deliver electrical stimulation wounds. Typical include diabetic foot ulcers, pressure venous ulcers. Additionally, few materials crucial reviewed, recent research considered study. Various devices, including triboelectric piezo-nanogenerators, potential functionalities generating relevant applications. literature lacked closed-loop platforms treatment concurrent monitoring healing. analysis taken from review provides opportunities at intersection epidermal soft bioelectronics, care, remote sensing.

Language: Английский

Citations

0

How Successful Is AI in Developing Postsurgical Wound Care Education Material? DOI Creative Commons
Yeliz Sürme, Handan Topan, Gülseren Maraş

et al.

Wound Repair and Regeneration, Journal Year: 2025, Volume and Issue: 33(3)

Published: May 1, 2025

ABSTRACT ChatGPT can be used as an aid in education, research and clinical management. This study was conducted using the 4.0 program to develop artificial intelligence‐supported wound care education material that read understood by patients discharged after surgery. In this methodological study, while creating material, needs of were determined first. Then, content created 4 program. Expert opinion taken for clarity, applicability, accuracy quality content. The Turkish readability index found 68.9 easily understandable. Automated Readability Index 9.29, Simple Measure Gobbledygook 7.89, Flesch‐Kincaid 8.07, Flesch Reading Ease 59.0 Average Level Consensus 9.99, which are frequently health literature. PEMAT understandability applicability score averages 93.90 ± 6.11 (84–100) 90.20 8.66, respectively. Global Quality Scale average 4.40 0.69. reveals provides understandable, applicable, accurate high‐quality postoperative material.

Language: Английский

Citations

0

Investigation of Pressure Injuries With Visual ChatGPT Integration: A Descriptive Cross‐Sectional Study DOI Open Access
Pelin Karaçay, Polat Göktaş, Özgen Yaşar

et al.

Journal of Advanced Nursing, Journal Year: 2025, Volume and Issue: unknown

Published: March 14, 2025

ABSTRACT Aim This study aimed to assess the performance of Visual ChatGPT in staging pressure injuries using real patient images, compare it manual by expert nurses, and evaluate its applicability as a supportive tool wound care management. Design used descriptive comparative cross‐sectional design. Methods The analysed 155 injury images from hospital database, staged nurses National Pressure Injury Advisory Panel guidelines. ChatGPT's was tested two scenarios: with only plus characteristics. Diagnostic evaluated, including sensitivity, specificity, accuracy, inter‐rater agreement (Kappa). Results Expert demonstrated superior accuracy specificity across most stages. performed comparably early‐stage injuries, especially when characteristics were included, but struggled unstageable deep‐tissue injuries. Conclusion shows potential an artificial intelligence for management nursing. However, improvements are necessary complex cases, ensuring that complements clinical judgement. Implications Profession and/or Patient Care can serve innovative settings, assisting less experienced those areas limited specialists managing Reporting Method STROBE checklist followed reporting studies line relevant EQUATOR Contribution No or public contribution.

Language: Английский

Citations

0