Results 151 to 160 of about 19,864 (256)

AI in Neurology: Everything, Everywhere, all at Once PART 2: Speech, Sentience, Scruples, and Service

open access: yesAnnals of Neurology, EarlyView.
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

AI in Neurology: Everything, Everywhere, All at Once Part 3: Surveillance, Synthesis, Simulation, and Systems

open access: yesAnnals of Neurology, EarlyView.
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]

open access: yesProc Natl Acad Sci U S A
Dubova M   +14 more
europepmc   +1 more source

The Relationship between Rest Tremor and Underlying Lewy Pathology in Essential Tremor: A Clinical‐Pathological Study of 201 Cases

open access: yesAnnals of Neurology, EarlyView.
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

Advancing plant metabolic research by using large language models to expand databases and extract labeled data

open access: yesApplications in Plant Sciences, EarlyView.
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]

open access: yesAsia Pac J Ophthalmol (Phila)
Rojas-Carabali W   +11 more
europepmc   +1 more source

Ultrafast Demagnetization Through Femtosecond Generation of Non‐Thermal Magnons

open access: yesAdvanced Physics Research, EarlyView.
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]

open access: yesEur J Med Res
Feierabend M   +5 more
europepmc   +1 more source

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