Results 151 to 160 of about 19,864 (256)
Artificial intelligence (AI) applications are finding use in real‐world neurological settings. Whereas part 1 of this 3‐part review series focused on the birth of AI and its foundational principles, this part 2 review shifts gears to explore more practical aspects of neurological care.
Matthew Rizzo
wiley +1 more source
Investigating machine learning and natural language processing techniques applied for detecting eating disorders: a systematic literature review. [PDF]
Merhbene G, Puttick A, Kurpicz-Briki M.
europepmc +1 more source
This final part 3 review builds on the practical applications discussed in part 2 and explores how artificial intelligence (AI) is transforming data management, neurological education, and neurological care across large healthcare networks and datasets. The review also highlights AI's role in real‐world and synthetic data, digital twins, and innovative
Matthew Rizzo
wiley +1 more source
Is Ockham's razor losing its edge? New perspectives on the principle of model parsimony. [PDF]
Dubova M+14 more
europepmc +1 more source
Objectives Prospective studies demonstrated that essential tremor is a risk factor for Parkinson's disease. Identifying clinical markers for conversion from essential tremor to essential tremor‐Parkinson's disease would be of considerable value. Rest tremor can be present in advanced essential tremor and may be a harbinger of conversion. We examined (1)
Elan D. Louis+3 more
wiley +1 more source
Enhancing dysarthric speech recognition through SepFormer and hierarchical attention network models with multistage transfer learning. [PDF]
Vinotha R+4 more
europepmc +1 more source
Abstract Premise Recently, plant science has seen transformative advances in scalable data collection for sequence and chemical data. These large datasets, combined with machine learning, have demonstrated that conducting plant metabolic research on large scales yields remarkable insights.
Rachel Knapp+2 more
wiley +1 more source
Natural Language Processing in medicine and ophthalmology: A review for the 21st-century clinician. [PDF]
Rojas-Carabali W+11 more
europepmc +1 more source
Ultrafast Demagnetization Through Femtosecond Generation of Non‐Thermal Magnons
A fully ab initio parametrized model is developed to describe out‐of‐equilibrium magnon dynamics in ferromagnetic metals. Applying this model to ultrafast laser‐induced demagnetization, it is revealed that the generation of non‐thermal magnons provides a sizable demagnetization within 200 fs in excellent comparison with experiments, which establishes ...
Markus Weißenhofer, Peter M. Oppeneer
wiley +1 more source
Applications of machine learning and deep learning in musculoskeletal medicine: a narrative review. [PDF]
Feierabend M+5 more
europepmc +1 more source