Results 181 to 190 of about 3,330,790 (253)

MRI‐based deep learning models match or surpass physician performance for early detection and staging of avascular necrosis of the femoral head: A systematic review

open access: yesKnee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Efficient and reliable magnetic resonance imaging (MRI)‐based diagnosis of early avascular necrosis of the femoral head (AVNFH) is essential for guiding treatment but remains challenging due to variability in clinician experience. Deep learning (DL) models offer a promising solution. This review evaluates and summarizes the performance
Khaled Skaik   +4 more
wiley   +1 more source

Machine Learning‐Based Risk Stratification Tool for Hearing Loss in High‐Risk Neonates

open access: yesThe Laryngoscope, EarlyView.
Machine learning models, particularly XGBoost, provide robust risk stratification for neonatal hearing loss by capturing complex interactions among clinical risk factors such as NICU stay duration and family history. To translate these predictive capabilities into routine practice, an open‐access web‐based clinical decision support tool was developed ...
Sevgi Kutlu   +4 more
wiley   +1 more source

Resonant States Reveal Strong Light–Matter Coupling in Nanophotonic Cavities

open access: yesLaser &Photonics Reviews, EarlyView.
Photonic resonant states reveal characteristics of coupled light–matter systems that would otherwise be hidden by damping. Their trajectories (when tuning the optical resonance) undergo a qualitative change at the onset of strong coupling: They start swapping positions.
Jan David Fischbach   +5 more
wiley   +1 more source

Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds

open access: yesLaser &Photonics Reviews, EarlyView.
A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis   +8 more
wiley   +1 more source

Beyond Reality Avoidance: Unraveling the Paradox of Escapism Through Self‐Monitoring and Autonomy Mechanisms for Consumers' Life Satisfaction

open access: yesPsychology &Marketing, EarlyView.
ABSTRACT This study introduces the Paradox of Escapism, exploring how the act of escaping reality can evolve from a short‐term avoidance strategy to a mechanism for self‐regulation and enhanced life satisfaction. Employing five rigorous, multimethod investigations, including qualitative interviews and sentiment analysis (Study 1), Structural Equation ...
Thamiris Magalhães de Sousa   +3 more
wiley   +1 more source

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