AI IN HEALTHCARE EXAM 1 QUESTIONS AND ANSWERS - 100%
VERIFIED - LATEST 2026 - GUARANTEED PASS
Algorithm - ANSWER set precise instructions computer is given to solve a
problem or complete a task.
artificial intelligence (AI) - ANSWER the computer science area focused on
making machines that can simulate human intelligence processes through
complex algorithms
-created by machine learning, artificial neural networks, deep learning and
natural language processing.
Machine Learning (ML) - ANSWER type of AI where computers learn from
data without needing explicit programming for every situation.
-all about analyzing data, identifying patterns and making predictions based on
those patterns
-analogy: teaching kid about animals, show photos and tell what it is, the
repetition will help them learn
Artificial Neural Networks (ANNs) - ANSWER loosely inspired by structure
and function of human brain
-computational models made up of interconnected nodes that can process into
and transmit signals to each other.
-use forward and backward propagation in training to learn how to get to a more
accurate prediction
-process of trail and error to get your machine to understand what is important
Deep Learning (DL) - ANSWER subfield of machine learning that utilized
artificial neural networks with many layers.
-allows for very complex pattern recognition
language model - ANSWER trained to understand human language. these
models trained on tasks to generate text, translation, writing, ANSWER ing
questions to an informative way.
-Natural language processing: broad field seek to develop algorithms to process,
understand, and generate human language.
-seek to understand and generate text based patterns (chat gpt)
-trained on massive amounts of text data
VERIFIED - LATEST 2026 - GUARANTEED PASS
Algorithm - ANSWER set precise instructions computer is given to solve a
problem or complete a task.
artificial intelligence (AI) - ANSWER the computer science area focused on
making machines that can simulate human intelligence processes through
complex algorithms
-created by machine learning, artificial neural networks, deep learning and
natural language processing.
Machine Learning (ML) - ANSWER type of AI where computers learn from
data without needing explicit programming for every situation.
-all about analyzing data, identifying patterns and making predictions based on
those patterns
-analogy: teaching kid about animals, show photos and tell what it is, the
repetition will help them learn
Artificial Neural Networks (ANNs) - ANSWER loosely inspired by structure
and function of human brain
-computational models made up of interconnected nodes that can process into
and transmit signals to each other.
-use forward and backward propagation in training to learn how to get to a more
accurate prediction
-process of trail and error to get your machine to understand what is important
Deep Learning (DL) - ANSWER subfield of machine learning that utilized
artificial neural networks with many layers.
-allows for very complex pattern recognition
language model - ANSWER trained to understand human language. these
models trained on tasks to generate text, translation, writing, ANSWER ing
questions to an informative way.
-Natural language processing: broad field seek to develop algorithms to process,
understand, and generate human language.
-seek to understand and generate text based patterns (chat gpt)
-trained on massive amounts of text data
