Expert Systems in AI Collaboration Quiz

Subject matter experts in AI are usually experienced in computer science and machine learning.

Cognitive computers like expert systems require content annotated and knowledge specified by non-experts.

IBM Watson for Oncology is an example of a cognitive computer that supports medical doctors in treating diseases.

A deductive inference engine for reasoning is not necessary in the development of cognitive computers.

AI developers do not need to collaborate with domain experts when working on AI projects.

AI Concepts and Python Coding are covered in Module 1 of the course syllabus on Artificial Intelligence.

Propositional Logic is covered in Module 2 of the course

First Order Predicate Logic is discussed in Module 3

Semantic Networks are included in Module 4 of the course

In Module 5, students learn about Uninformed Search but not Heuristic Search

Bayesian Networks are discussed in Module 6 of the course

Building an Expert System using PyKE is part of Module 4

An expert system can be used as a clinical decision support tool in the field of biomedical informatics.

An expert system is primarily designed to perform physical tasks in the field of biomedical informatics.

A patient-centered care system is an example of an application of telehealth in the field of healthcare.

The development of a research/support tool in the field of biomedical informatics may involve a primary source literature search to gather relevant data.

An expert system implemented in Python using a Jupyter notebook is an example of a patient monitoring system.

A final report and an oral presentation are required for the final project submission in BMIN 520-401.