Results 31 to 40 of about 157,570 (268)

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi   +10 more
wiley   +1 more source

Geometric Reasoning in the Embedding Space

open access: yesMachine Learning and Knowledge Extraction
While neural networks can solve complex geometric problems, as demonstrated by systems like AlphaGeometry, we have limited understanding of how they internally represent and reason about spatial relationships.
David Mojžíšek   +4 more
doaj   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot   +6 more
wiley   +1 more source

A Review of Explainable Artificial Intelligence from the Perspectives of Challenges and Opportunities

open access: yesAlgorithms
The widespread adoption of Artificial Intelligence (AI) in critical domains, such as healthcare, finance, law, and autonomous systems, has brought unprecedented societal benefits.
Sami Kabir   +2 more
doaj   +1 more source

Improved Early Referral in Long‐Term Survivor Care With Institutional Standardized Practice Among Childhood Leukemia Survivors#

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT In 2018, the Texas Children's Cancer and Hematology Center Leukemia Program implemented a practice standard to support the transition from treatment to survivorship that includes shared, alternating care between leukemia and survivorship clinicians and a reminder to refer survivors to the long‐term survivor clinic (LTSC) 2 years after ...
Ji Yun Tark   +9 more
wiley   +1 more source

Fuzzy-DogNet: A Lightweight and Interpretable Deep Unstructured Neuro-Fuzzy System Based on Band-Pass Filters for Traffic Sign Recognition

open access: yesIEEE Access
Traffic Sign Recognition (TSR) plays a critical role in autonomous driving and advanced driver-assistance systems, necessitating accurate and efficient recognition under real-world constraints.
Sadra Berangi   +2 more
doaj   +1 more source

Prediction of red blood cell transfusion after orthopedic surgery using an interpretable machine learning framework

open access: yesFrontiers in Surgery, 2023
ObjectivePostoperative red blood cell (RBC) transfusion is widely used during the perioperative period but is often associated with a high risk of infection and complications.
Yifeng Chen   +14 more
doaj   +1 more source

Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge   +6 more
wiley   +1 more source

Signal Processing in the Retina: Interpretable Graph Classifier to Predict Ganglion Cell Responses

open access: yesIEEE Open Journal of Signal Processing
It is a popular hypothesis in neuroscience that ganglion cells in the retina are activated by selectively detecting visual features in an observed scene.
Yasaman Parhizkar   +2 more
doaj   +1 more source

NN-Poly: Approximating common neural networks with Taylor polynomials to imbue dynamical system constraints

open access: yesFrontiers in Robotics and AI, 2022
Recent advances in deep learning have bolstered our ability to forecast the evolution of dynamical systems, but common neural networks do not adhere to physical laws, critical information that could lead to sounder state predictions.
Frances Zhu   +3 more
doaj   +1 more source

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