Welcome to November, a month known for its focus on health and wellness as it hosts World Diabetes Day on November 14. This year, AI's impact on healthcare is more pronounced than ever.

Click here to see intriguing imagery related to AI in Healthcare on Pexels. Photo credits belong to respective photographers.

Telemedicine, fueled by AI algorithms, has come to the fore, particularly crucial in a time when in-person consultations are not always possible. AI's role in telehealth extends from appointment scheduling to predictive diagnostics. (Healthcare IT News)

Artificial Intelligence is also making strides in medical imaging. AI algorithms can now identify anomalies in X-rays or MRIs with incredible accuracy. (Nature Medicine)

November 6 marks the start of the 'National Radiologic Technology Week.' The purpose of this week is to recognize the vital work of Radiologic Technologists, and it's exciting to see how AI is aiding these professionals in their tasks. (American Society of Radiologic Technologists)

AI applications in healthcare are also a boon for managing chronic conditions. Machine Learning algorithms are now capable of predicting blood sugar levels for diabetic patients. (Diabetes Journals)

So this November, let's focus on how AI is not just a technological marvel but a healthcare asset. Whether you are new to the concept of Artificial Intelligence or are simply interested in how it's transforming healthcare, this guide should offer you some valuable insights.