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TRIPOD+ AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
The TRIPOD (Transparent Reporting of a multivariable prediction model for Individual
Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting …
Prognosis Or Diagnosis) statement was published in 2015 to provide the minimum reporting …
Oral octreotide capsules for acromegaly treatment: application of clinical trial insights to real-world use
Introduction Acromegaly is a rare endocrine disorder usually caused by a benign growth
hormone‒secreting pituitary adenoma. Surgical adenoma resection is typically the first line …
hormone‒secreting pituitary adenoma. Surgical adenoma resection is typically the first line …
Role of artificial intelligence in brain tumour imaging
E Chukwu**du, H Faiz, AID Sara, K Faiz… - European Journal of …, 2024 - Elsevier
Artificial intelligence (AI) is a rapidly evolving field with many neuro-oncology applications. In
this review, we discuss how AI can assist in brain tumour imaging, focusing on machine …
this review, we discuss how AI can assist in brain tumour imaging, focusing on machine …
Machine Learning Analysis of Post-Operative Tumour Progression in Non-Functioning Pituitary Neuroendocrine Tumours: A Pilot Study
Simple Summary Effective models for predicting non-functioning pituitary neuro-endocrine
tumours (NF PitNET) recurrence and regrowth following surgical intervention remain elusive …
tumours (NF PitNET) recurrence and regrowth following surgical intervention remain elusive …
[PDF][PDF] Aplicaciones médico-sanitarias de la inteligencia artificial: una visión desde la práctica clínica
J Diez - Anales de la Real Academia de Doctores de España, 2023 - rade.es
La inteligencia artificial se ha convertido en uno de los fenómenos sociales más importantes
de los últimos años con potenciales influencias en todos los campos de la actividad …
de los últimos años con potenciales influencias en todos los campos de la actividad …
Identification of Prolactinoma in Pituitary Neuroendocrine Tumors Using Radiomics Analysis Based on Multiparameter MRI
H Li, Z Liu, F Li, Y **a, T Zhang, F Shi… - Journal of Imaging …, 2024 - Springer
This study aims to investigate the feasibility of preoperatively predicting histological
subtypes of pituitary neuroendocrine tumors (PitNETs) using machine learning and …
subtypes of pituitary neuroendocrine tumors (PitNETs) using machine learning and …
血清 VEGF, ATII 及 NE 与垂体瘤恶性程度的相关性 及对预后预测价值分析.
刘亮， 肖勇， 王栋， 王冉， 耿良元… - Progress in Modern …, 2024 - search.ebscohost.com
摘要目的: 探讨血清血管内皮生长因子(VEGF), 血管紧张素Ⅱ (ATⅡ) 及去甲肾上腺素(NE)
与垂体瘤恶性程度的相关性及对预后预测价值. 方法: 选取我院2018 年1 月到2021 年1 …
与垂体瘤恶性程度的相关性及对预后预测价值. 方法: 选取我院2018 年1 月到2021 年1 …