New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson's disease
Parkinson's disease (PD) is characterized by the loss of neuronal cells, which leads to
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
synaptic dysfunction and cognitive defects. Despite the advancements in treatment …
ChatGPT versus the neurosurgical written boards: a comparative analysis of artificial intelligence/machine learning performance on neurosurgical board–style …
Methods Six hundred forty-three Congress of Neurological Surgeons (CNS) Self-
Assessment Neurosurgery (SANS) questions were used to evaluate performance on the …
Assessment Neurosurgery (SANS) questions were used to evaluate performance on the …
[HTML][HTML] The future of artificial intelligence in neurosurgery: a narrative review
J Iqbal, K Jahangir, Y Mashkoor, N Sultana… - Surgical neurology …, 2022 - ncbi.nlm.nih.gov
Background: Artificial intelligence (AI) and machine learning (ML) algorithms are on the
tremendous rise for being incorporated into the field of neurosurgery. AI and ML algorithms …
tremendous rise for being incorporated into the field of neurosurgery. AI and ML algorithms …
Beyond human in neurosurgical exams: ChatGPT's success in the Turkish neurosurgical society proficiency board exams
Abstract Chat Generative Pre-Trained Transformer (ChatGPT) is a sophisticated natural
language model that employs advanced deep learning techniques and is trained on …
language model that employs advanced deep learning techniques and is trained on …
Exploring the intersection of artificial intelligence and neurosurgery: let us be cautious with ChatGPT
METHODS: ChatGPT was accessed in January 2023, and prompts were created requesting
treatment information for 40 common neurosurgical conditions. Quantitative characteristics …
treatment information for 40 common neurosurgical conditions. Quantitative characteristics …
Machine learning predictive models in neurosurgery: an appraisal based on the TRIPOD guidelines. Systematic review
A Warman, AL Kalluri, TD Azad - Neurosurgical Focus, 2023 - thejns.org
OBJECTIVE In recent years, machine learning models for clinical prediction have become
increasingly prevalent in the neurosurgical literature. However, little is known about the …
increasingly prevalent in the neurosurgical literature. However, little is known about the …
Neurosurgical skills analysis by machine learning models: systematic review
O Titov, A Bykanov, D Pitskhelauri - Neurosurgical Review, 2023 - Springer
Abstract Machine learning (ML) models are being actively used in modern medicine,
including neurosurgery. This study aimed to summarize the current applications of ML in the …
including neurosurgery. This study aimed to summarize the current applications of ML in the …
Machine learning–based prediction models in neurosurgery
KJ Habashy, VA Arrieta, J Feghali - Neurosurgical Focus, 2023 - thejns.org
We would like to express our gratitude for the thoughtful letter regarding our article on the
quality of the development and reporting of ML prediction models in neurosurgery. We …
quality of the development and reporting of ML prediction models in neurosurgery. We …
Smart Farming and Precision Agriculture and Its Need in Today's World
S John, PJ Arul Leena Rose - Intelligent Robots and Drones for Precision …, 2024 - Springer
Smart farming and precision agriculture are two intertwined concepts that leverage
technology and data-driven methods to transform conventional farming practices. This …
technology and data-driven methods to transform conventional farming practices. This …
The first case of glioma detected by an artificial intelligence algorithm running on real-time data in neurosurgery: illustrative case
A Sozer, AO Borcek, S Sagiroglu, A Poshtkouh… - … of Neurosurgery: Case …, 2023 - thejns.org
BACKGROUND The aim of this paper is to report one of the significant applications of
artificial intelligence (AI) and how it affects everyday clinical practice in neurosurgery. The …
artificial intelligence (AI) and how it affects everyday clinical practice in neurosurgery. The …