The document discusses the use of artificial intelligence and machine learning in the medical industry. It describes how AI can be used to analyze and understand complex medical data, aiding in tasks like cancer diagnosis, drug development through protein folding, and detecting heart diseases using smartwatches. The document also lists several other medical applications of AI such as diagnostic decision support, self-diagnosis through AI doctors, monitoring medication usage, detecting hospital infections through computer vision, and using AI to treat social anxiety.

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AI IN MEDICAL INDUSTRY
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Artificial Intelligencec with Machine Learning Course

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DATA SCIENCE FOUNDATION 2
Artificial intelligence in healthcare, known also as
Deep Medicine, is an overarching term used to
describe the use of machine-learning algorithms
and software, or artificial intelligence (AI), to mimic
human cognition in the analysis, presentation, and
comprehension of complex medical and health care
data.

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AI in Medical Industry
DATA SCIENCE FOUNDATION 3
AI fosters medical accessibility
More accurate cancer diagnosis
Speed up protein folding solutions, thus
drug development

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AI in Medical Industry
DATA SCIENCE FOUNDATION 4
Detection of heart diseases using data smart
watches
Easier diagnosis using diagnostic decision support
source
Self-diagnosis using AI based doctors source
Monitor proper use of medication source

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AI in Medical Industry
DATA SCIENCE FOUNDATION 5
Monitor hand sanitization using computer
vision source
Germwatcher AI to detect and investigate
hospital acquired infections
AI-Therapy helps patients treat social anxiety
Saves time and cost

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