Results 61 to 70 of about 1,874,578 (291)
Artificial Intelligence in the Context of Human Consciousness [PDF]
Artificial intelligence (AI) can be defined as the ability of a machine to learn and make decisions based on acquired information. AI’s development has incited rampant public speculation regarding the singularity theory: a futuristic phase in which ...
DeFries, Hannah
core +1 more source
Multidimensional Profiling of MRI‐Negative Temporal Lobe Epilepsy Uncovers Distinct Phenotypes
ABSTRACT Objective Although hippocampal sclerosis (TLE‐HS) represents the most frequent cause of temporal lobe epilepsy (TLE), up to 30% of patients show no lesion on visual MRI inspection (TLE‐MRIneg). These cases pose diagnostic and therapeutic challenges and are underrepresented in surgical series.
Alice Ballerini +28 more
wiley +1 more source
This work presents a novel and versatile approach to employ textile capacitive sensing as an effective solution for capturing human body movement through fashionable and everyday-life garments.
Daniel Geißler +13 more
doaj +1 more source
Emotional Intelligence or Artificial Intelligence?: Emotional Artificial Intelligence
Emotional intelligence and artificial intelligence have become quite popular concepts in the relevant literature in recent years. This article combines these concepts. It has been investigated that emotional intelligence is related to artificial intelligence and how it affects it.
openaire +2 more sources
ABSTRACT Introduction Glucagon‐like peptide‐1 receptor agonists (GLP‐1 RAs) have demonstrated significant weight‐reducing effects and may offer benefits in idiopathic intracranial hypertension (IIH); however, recent concerns about the risk of non‐arteritic anterior ischemic optic neuropathy (NAION) have emerged.
Faisal A. Al‐Harbi +9 more
wiley +1 more source
Disability classification using machine learning on functional assessment data
The World Health Organization (WHO) estimates that over 1.3 billion people globally experience significant disabilities, a figure projected to exceed two billion by 2050.
Mohamed Abouelezz +2 more
doaj +1 more source
Foundation Models Meet Medical Image Interpretation
Facing challenges such as limited annotated data and insufficient model generalization in medical deep learning, foundation models (FMs) are reshaping the paradigm of medical image interpretation through large-scale pretraining and efficient fine-tuning.
Licheng Jiao +11 more
doaj +1 more source
ABSTRACT Objective We aim to comprehensively analyze how regional tumor and edema characteristics are associated with clinical presentations and survival outcomes in a large cohort of glioblastoma patients. Methods Patients with IDH‐wildtype glioblastoma who received brain MRI from 2010 to 2023 were included.
Daniel J. Zhou +15 more
wiley +1 more source
Machine learning interatomic potentials (MLIPs) enable more efficient molecular dynamics (MD) simulations with ab initio accuracy, which have been used in various domains of physical science.
Taoyong Cui +7 more
doaj +1 more source
Faith in the Algorithm, Part 1: Beyond the Turing Test [PDF]
Since the Turing test was first proposed by Alan Turing in 1950, the primary goal of artificial intelligence has been predicated on the ability for computers to imitate human behavior.
Pepe, Alberto, Rodriguez, Marko A.
core +1 more source

