What started as the concept of making computers think like humans has evolved into AI programs people use worldwide. But healthcare is a hands-on field, so where does artificial intelligence fit in?

Incorporating AI into health settings is an exciting and constantly changing concept. As AI in medical education and practice becomes more common, learning about its applications is crucial to stay ahead of the curve.

As AI becomes more accessible and advanced, CME providers incorporate it into programs. From patient simulations to customized learning solutions, AI in CME is here to stay.

Here are some popular uses of AI in education for medical professionals:

Many AI platforms can create simulations for learners to try new concepts. These simulations allow you to:

• Practice communication skills
• Use AI tools to help make treatment decisions
• Try AI-enhanced techniques for diagnostic imaging

The AI can often provide real-time simulation feedback, helping you quickly learn from mistakes.

CME providers can also use AI tools to help create individualized experiences. For example, AI can use personal information and test scores to define strengths and make recommendations for:

• Areas of improvement
• Types of materials to study
• Readings and journal articles
• Study tools and materials

In addition, many AI tools can make complex concepts easier to understand and provide review sessions.

Some CME seminars focus more on responsible AI use in practice and continuing education. Topics under this category include:

• Identification of bias or misinformation presented in AI-generated content
• Education about methods for reducing privacy concerns
• Influences of AI on patient-provider relationships
• Specialty-specific use of AI tools

Practitioners can also use these platforms to stay updated on the latest advances. They help summarize information from the latest publications into easily digestible content.

While the previous examples are a solid introduction, there are plenty of ways doctors can incorporate AI into their practice. Here are some other examples of the use of artificial intelligence in healthcare:

• Analysis of a patient’s medical history to make connections between seemingly unrelated issues.
• Risk assessments for potential diseases or conditions, even if the patient does not present symptoms yet.
• Data analysis and prediction of disease and illness outbreaks, such as flu or COVID-19.
• Measurements and tracing of tumors, fat, muscle, and structures in diagnostic imaging.
• Notetaking, documentation, appointment scheduling, and answering patient questions.
• Triage prioritization efforts and alerts for patients with more immediate concerns.
• Development and innovation for drug discovery.

As these tools continue to evolve, so will the use of AI in medicine. Understanding the technology and its potential applications now will help you prepare for the future of “augmented intelligence” in healthcare.