Results 11 to 20 of about 18,006 (114)
The graphic abstract was created with the assistance of the AI tool Claude (Accessed August 2026), using data from the study. The authors reviewed and verified the accuracy of all data and figures presented in the graphic abstract prior to submission.
Wandile Witness Mkhonza +2 more
wiley +1 more source
Should Dermatologists Recommend Direct‐to‐Consumer App‐Based Remote Diagnostics? An Ethical Analysis
ABSTRACT Background Dermatology patients still face barriers in accessing timely specialist care. As direct‐to‐consumer (DTC) apps for remote dermatological diagnostics proliferate, guidance is lacking. While promising efficiency and efficacy, their clinical—and ethical—legitimacy is not yet well established.
Sonja Mathes +9 more
wiley +1 more source
ABSTRACT Artificial Intelligence is rapidly transforming allergology by enhancing diagnosis, risk prediction, automation, patient communication, education, and therapy development. Machine learning approaches, including convolutional neural networks, recurrent architectures, and transformer‐based models, enable analysis of complex datasets from ...
Sebastian Seurig +2 more
wiley +1 more source
Artificial Intelligence in Dermatology: Current Applications and Future Directions
This scoping review of 56 studies maps AI applications in dermatology. Image‐based classification for skin cancer detection dominates (48%), followed by clinical decision support (21%), teledermatology triage (11%), and predictive analytics (11%). While deep learning algorithms demonstrate diagnostic performance comparable to clinicians in controlled ...
Sofía Pérez‐Lalinde +1 more
wiley +1 more source
Abstract Purpose Management of patellofemoral instability (PFI) tailored to the individual patoanatomy can be complex with potential pitfalls. However, reports on complications and suboptimal outcomes remain limited. The aim of this study was to analyse problems related to PFI treatment in Denmark.
Louise Marie Helmbæk +2 more
wiley +1 more source
Abstract Purpose Obesity is a major risk factor for knee osteoarthritis (KOA). Bariatric surgery (BAS) effectively induces weight loss, but some of these patients subsequently require knee arthroplasty (KA) despite substantial weight reduction. However, the impact of prior BAS on the risk of reintervention, antibiotic use and mortality following KA ...
Saber Muthanna Aljuboori +5 more
wiley +1 more source
Abstract Musculoskeletal care is being reshaped by population aging, multimorbidity, frailty, osteoporosis, sarcopenia, polypharmacy and increasing vulnerability to postoperative loss of independence. Artificial intelligence (AI) has entered orthopaedic research, but its clinical translation remains constrained. Many models address isolated diagnostic,
Felix C. Oettl +8 more
wiley +1 more source
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang +6 more
wiley +1 more source
ABSTRACT The fifth industrial revolution (I5.0), which is based on the utilization of interconnected data for efficient resource usage in meeting human requirements, proposes efficient solutions to resource constraint situations. However, the transition to I5.0 in the health sector is not easy and has to face several obstacles.
Ajay Jha +5 more
wiley +1 more source
Read the free Plain Language Summary for this article on the Journal blog. Abstract Soil food web models are essential for linking animal diversity to carbon and nutrient cycling. However, it is unclear how soil animals regulate excess carbon when nutrient availability limits their growth and how to best represent animal respiration in these models. To
Robert W. Buchkowski +8 more
wiley +1 more source

