AI is transforming healthcare by acting as a 'second set of eyes' for doctors, particularly in complex cases like epilepsy. At the Cleveland Clinic, AI systems analyze MRI scans to highlight areas of concern, aiding doctors in identifying lesions causing seizures. This technology has already improved patient outcomes, as seen in the case of Ryan Mellinger, whose epilepsy surgery became feasible with AI assistance. The healthcare industry anticipates widespread AI adoption, with 75% of providers expecting it in the next three years. However, only 40% have reviewed regulatory guidance, highlighting a gap in preparedness. AI's integration into healthcare aims to enhance patient and doctor experiences, but it also raises concerns about data bias and ethical implications. AI systems trained on biased data can perpetuate these biases, potentially overlooking diverse patient groups. Experts emphasize the need for diverse patient data to ensure equitable healthcare outcomes. Currently, AI serves as an assistant, but future developments may include remote access and predictive technology, allowing for personalized medicine and early diagnosis of conditions like cancer or diabetes.