Influencing public acceptance of artificial intelligence (AI) in healthcare delivery. [PDF]
Aras S +6 more
europepmc +1 more source
Chemically Doped Conductive Polymers for Wearable Health Monitoring
Among conductive polymers, poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS), polyaniline (PANI), and polypyrrole (PPy) are the most studied and applied. Chemical doping significantly boosts intrinsic conductivity and mechanical robustness.
Mengdi Zuo +5 more
wiley +1 more source
Artificial Intelligence (AI) in rheumatology: a comparative evaluation of the ChatGPT and DeepSeek application. [PDF]
Polyzou M, Baraliakos X.
europepmc +1 more source
Recent Advances of Slip Sensors for Smart Robotics
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
wiley +1 more source
Human and Artificial Intelligence (AI) Analysis of Patient Experiences of Periodontal Graft Surgery. [PDF]
Mak WWN, Budden T, Kaur S, Meade MJ.
europepmc +1 more source
Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi +12 more
wiley +1 more source
Engaging Artificial Intelligence (AI)-based chatbots in digital health: A systematic review. [PDF]
Feng S, Li XL, Wake AN.
europepmc +1 more source
ABSTRACT Quantifying oral polymorphonuclear neutrophils (oPMNs) is a clinically validated approach for assessing periodontal inflammation. However, current methods, such as manual hemocytometry and flow cytometry, are time‐consuming (>3 h), require invasive sampling, and depend on staining and complex instrumentation, making them unsuitable for point ...
Mohsen Hassani +9 more
wiley +1 more source
Advancing Nursing Education: Evaluating Artificial Intelligence (AI) and Escape Room (ER) Approaches for E-Learning and Interpretation Skills. [PDF]
Salimi A, Nouri M, Moradi A, Vasiee A.
europepmc +1 more source

