Application of an Artificial Intelligence Algorithm to Prognostically Stratify Grade II Gliomas

Intelligence Quotient and Intelligence Grade of Artificial Intelligence

Although artificial intelligence (AI) is currently one of the most interesting areas in scientific research, the potential threats posed by emerging AI systems remain a source of persistent controversy. To address the issue of AI threat,this study proposes a “standard intelligence model” that unifies AI and human characteristics in terms of four aspects of knowledge, i.e., input, output, master...

Chemotherapy for treatment of grade II gliomas.

Gliomas classified as grade II by the World Health Organization (WHO) include astrocytomas, oligodendrogliomas, and mixed oligoastrocytomas. This heterogeneous group of conditions is associated with a more favorable prognosis and longer-term survival than high-grade gliomas (HGGs). Neurosurgical resection and radiation therapy improve survival in symptomatic, progressive, or high-risk grade II ...

Artificial Intelligence and Macro-Economy, An Application

There are five sorts of answers This paper describes an Expert-System (E.S.) for automatic econometric modelling. The aim of the system is to build a set of econometric equations on a data base. The specifications of the economic relationships are made explicit in a knowledge-based system in LISP. So the E.S. has two components : the first is an economic problem solving one, the second is a sta...

Artificial intelligence in an ecological application

Current therapeutic approaches to diffuse grade II and III gliomas

The 2016 WHO classification of Tumors of the Central Nervous System brought major conceptual and practical changes in the classification of diffuse gliomas, by combining molecular features and histology into 'integrated' diagnoses. In diffuse gliomas, molecular profiling has thus become essential for nosological purposes, as well as to plan adequate treatment strategies and identify patients su...