Artificial intelligence in medicine
Gaining insights into diagnostics, care processes, treatment variability and patient outcomes with the support of machine learning
Overview
What is artificial intelligence in medicine?
Artificial intelligence (AI) is technology patterned after the brain’s neural network sand uses multiple layers of information – including algorithms, pattern matching, rules, deep learning and cognitive computing – to learn how to understand data.
How do we use AI in medicine
AI-enabled tools can identify meaningful relationships in raw data and has the potential to be applied in almost every field of medicine, including drug development, treatment decisions, patient care, and financial and operational decisions.
With AI, healthcare professionals could can tackle complex problems that would be difficult, time-intensive, or inefficient to address alone.AI could be a valuable resource for medical professionals, allowing them to better use their expertise and provide value across the health ecosystem.
Use cases
Benefits of artificial intelligence in medicine
AI-enabled tools can extract relevant information from large amounts of data and generate actionable insights that could be applied to many applications.
Surfacing treatment insights
With AI technologies, physicians could find information in unstructured medical literature to support care decisions.
Supporting user needs
AI can search and present data to help people find use full health information, which could lead to more informed users.
Identifying insights from patient data
AI tools could search structured and unstructured medical records to provide relevant patient histories.
Targeting similarities and patterns
AI could identify patterns and help researchers create dynamic patient cohorts for studies and clinical trials.
Evolution
About artificial intelligence in medicine
Before AI started being applied to medical information in the 2000s, predictive models in healthcare could only consider limited variables in clean and well-organized health data.Today, sophisticated machine-learning tools that use artificial neural networks to learn extremely complex relationships or deep learning technologies have been shown to support —and at times, exceed —human abilities in performing some medical-related tasks.AI systems are designed to tackle the complex data that has been generated from modern clinical care.
AI technologies, such as IBM Watson, are being used by healthcare providers, leaders and researchers to leverage millions of medical reports, patient records, clinical trials and medical journals to reveal data insights.
Role of AI
Why is artificial intelligence in medicine important?
Cutting through the noise
AI could help make sense of the overwhelming amount of clinical data, medical literature, and population and utilization data to inform decisions.
Providing contextual relevance
AI could empower healthcare providers to see expansively by quickly interpreting billions of data points–both text and image data –to identify contextually relevant information for individual patients.
Reducing errors related to human fatigue
Human error is costly and human fatigue can cause errors. AI algorithms don’t suffer from fatigue, distractions or moods. They could process vast amounts of data with incredible speed and accuracy.
Identifying diseases more readily
AI systems could be used to spot anomalies in medical images, such as MRIs or CT scans.
Increasing doctor-patient engagement
AI automation allows physicians to spend less time on data entry and desk work and more time engaging with patients.
Reducing cost of care
AI could help determine important utilization information, such as what citizens are eligible for assistance across health and human services programs.
Watson Health AI solutions
IBM has been a pioneer in developing AI software specifically for healthcare.
Midwest University
See how one university achieved an estimated USD $1M in savings.
Liberty Mutual
See how Liberty Mutual modernized benefits & reduced carriers.
Hardin Memorial Health
See how an AI solution helped enable faster, more confident decisions.