Artificial intelligence

The term "artificial intelligence", commonly abbreviated to AI, refers to both the field of research that focuses on the type of intelligence and the actions that computers perform that imitate human intelligence.

AI meets medicine

Learns over time

• These are computer programs that are typically designed to dynamically update and improve their own performance over time is an important component of the AI.
• They are utilized to process, dissect, and perceive designs in enormous datasets, and they utilize those examples to get better at finishing jobs or tackling issues.

Use

• AI programs are used for a variety of things, like recommending new shows to viewers based on what they like, directing self-driving cars through cities, and learning how to beat other players in games like chess.
• AI is a subset of machine learning.

Potential for use in medicine

• Each year, medical diagnosis errors affect the health of millions of Americans and cost billions of dollars.
• Machine learning technologies can help identify hidden or complex patterns in diagnostic data to detect diseases earlier and improve treatments.

Diagnosis

AI algorithms can be trained to analyze medical images (such as X-rays or MRIs) and make diagnosis based on patterns that may not be apparent to the human eye.

Predictive modeling

AI can be used to analyze large amounts of patient data and make predictions about future health outcomes, such as the likelihood of developing a certain condition or the likelihood of a successful treatment outcome.

Drug discovery

AI can be used to analyze chemical compounds and predict their potential efficacy as drugs, which can help researchers identify new candidates for drug development.

Clinical decision support

AI algorithms can be used to provide doctors with recommendations and treatment options based on a patient's medical history and current symptoms.

Virtual assistants

AI-powered virtual assistants can help patients manage their care by providing reminders for taking medication, booking appointments, and answering questions about their health.

Benefits

• The resulting benefits include earlier detection of diseases; more consistent analysis of medical data; and increased access to care, particularly for underserved populations.

What is available?

• Several machine learning (ML) technologies are available in the U.S. to assist with the diagnostic process.
• Some of the ML-based technologies focus on diseases such as cancers, diabetic retinopathy, Alzheimer’s disease, heart disease, and COVID-19

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