Results 191 to 200 of about 449,358 (260)

Application of Fully Convolutional Neural Networks in the Assessment of Cerebral White Matter Involvement in Primary Sjögren's Syndrome. [PDF]

Neuroinformatics
Sobański M, Gajowczyk M, Rygiel P, Sobańska M, Korbecki A, Litwinowicz K, Kacała A, Korbecka J, Zdanowicz-Ratajczyk A, Dziadkowiak E, Sebastian M, Wiland P, Trybek G, Sebastian A, Bladowska J.   +14 more
europepmc   +1 more source

The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review

AGING MEDICINE, EarlyView.
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das, Moustaq Karim Khan Rony, Shovit Dutta, MD. Sami Al Zubair Zujbe, Tapan Bhattacharjee, Niloy Debnath, Shabbir Abdullah Maruf, Chowdhury Galib Mortuza, Farhana Rahman, Akash Das   +9 more
wiley   +1 more source

Adaptation of convolutional neural networks for real-time abdominal ultrasound interpretation. [PDF]

Front Artif Intell
Ruiz AJ, Hernández Torres SI, Snider EJ.   +2 more
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Layer-specific approximate multipliers for energy-precision trade-offs in convolutional neural networks. [PDF]

Sci Rep
Sayadi L, Moaiyeri MH, Timarchi S.
europepmc   +1 more source

Graph‐based imitation and reinforcement learning for efficient Benders decomposition

AIChE Journal, EarlyView.
Abstract This work introduces an end‐to‐end graph‐based agent for accelerating the computational efficiency of Benders Decomposition. The agent's policy is parameterized by a graph neural network, which takes as input a bipartite graph representation of the master problem and proposes a candidate solution.
Bernard T. Agyeman, Zhe Li, Ilias Mitrai, Prodromos Daoutidis   +3 more
wiley   +1 more source

Correction for Anand et al., Convolutional neural networks outperform other presence-only species distribution modeling algorithms. [PDF]

Proc Natl Acad Sci U S A
europepmc   +1 more source

Emergent neuronal mechanisms mediating covert attention in convolutional neural networks. [PDF]

Proc Natl Acad Sci U S A
Srivastava S, Wang WY, Eckstein MP.
europepmc   +1 more source