Research progress of artificial intelligence in bone tumor imaging. [PDF]
Zhang W, Kang S, Li K.
europepmc +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Anomaly-based intrusion detection on benchmark datasets for network security: a comprehensive evaluation. [PDF]
Kumar LKS +7 more
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Benchmarking deep learning models for predicting anticancer drug potency (IC<sub>50</sub>) with insights for medicinal chemists. [PDF]
Garai U +4 more
europepmc +1 more source
Deep Learning in Otolaryngology: A Narrative Review. [PDF]
Novi SL +5 more
europepmc +1 more source
Annual Reports to the ESA Council ESA 110th Annual Meeting July, 2025
The Bulletin of the Ecological Society of America, EarlyView.
wiley +1 more source
Comparing decentralized machine learning and AI clinical models to local and centralized alternatives: a systematic review. [PDF]
Diniz JM +9 more
europepmc +1 more source

