Artificial intelligence (AI) is rapidly transforming clinical care, offering healthcare leaders new tools to improve workflows through automation and enhance patient outcomes with more accurate diagnoses and personalized treatments. This resource provides a framework for understanding how AI is applied across the patient journey, from pre-visit interactions to post‑visit monitoring and ongoing care. It focuses on actionable use cases to help healthcare organizations evaluate AI technologies holistically, balance innovation with feasibility, and navigate the evolving landscape of AI in healthcare.

For a deeper exploration of any specific use case featured in this infographic, check out our comprehensive compendium. It offers detailed insights into these technologies, including their benefits, implementation considerations, and evolving role in healthcare.

TUSCALOOSA, Ala. (WBRC) – One west Alabama school district is working to update its policy on artificial intelligence (AI).

Tuscaloosa City Schools wants to hear from parents when it comes to how they handle AI, a growing system that continues to evolve.

The school district has a committee studying best-use practices and a major part of that study is surveying parents on how they think AI could be strengthened to improve teaching and learning.

Central High School English teacher Rachael James is the first to admit just the mere mention of AI intimidated her a bit.

“There is definitely that intimidation factor,” said James.

But AI is here to stay, and James felt the best way to tackle it is to confront it head on with crystal clarity.

James learned early on that for teachers, AI is simply another resource – another avenue – to find apps that help do their jobs better.

“AI allows us to create different tools to address different learning styles and it also makes some of the legwork in education a little easier with creating lesson plans we need to run our classes smoothly,” said James.

But like any new thing, there is a chance it could be abused and harmful.

“Safety and privacy are most important,” said Tuscaloosa City Schools Superintendent Dr. Mike Daria.

Dr. Daria says the school district is sending out surveys to parents to get their feedback on how to make the use of AI better, stronger and safer in the classroom.

“We know it’s evolving very quickly and we believe it’s important to have input from our parents on the way we use it. A big part of that is AI literacy so our students can understand AI, navigate it, interpret it, discern what it is and what it’s not,” said Dr. Daria.

But what about the teacher-student relationship? Could artificial intelligence damage the synergy?

“There is that fear. However, being able to educate, even if computers take over, there still has to be human engagement in some shape, form or fashion,” said James.

Either way, the future is here and James is on the front line and mastering it along the way.

“The goal is not to be afraid of AI,” said James.

School district leaders said parents have until September 26 to complete the survey.

Get news alerts in the Apple App Store and Google Play Store or subscribe to our email newsletter here.

Copyright 2025 WBRC. All rights reserved.

Summary points:

• New software security system enhances protection for NVIDIA Jetson-powered embedded AI systems.
• Secures AI models and sensitive data through encrypted APIs, process isolation, and secure OS features.
• Includes anti-rollback protection, automatic OS recovery, and centralized web-based monitoring tools for edge devices.

TAIPEI, Taiwan – AAEON Technology in Taipei, Taiwan, is introducing a software security system for the company’s embedded artificial intelligence (AI) systems powered by NVIDIA Jetson system-on-modules.

The cyber security system is built on a three-tiered architecture with components that protect data at the edge and in the cloud. It is available as part of the board support package for SKUs of AAEON’s BOXER-8621AI, BOXER-8641AI-Plus, and the BOXER-8651AI-Plus Edge AI systems.

The most notable component of this trusted computing product is a trusted execution environment (TEE) named MAZU to protect AI models and application data by separating files, processes, and algorithms within protected execution zones.

Sensitive assets

Using MAZU enables users to isolate machine learning algorithms while running standard applications. It also gives access to sensitive assets through certified APIs with encrypted communications, secure OS, and certificate validation.

Other mechanisms include anti-restore protection, A/B redundancy partitioning, and disk lock to prevent hackers from reverting system software to previous versions. It reverts to a stable OS image if a device fails, and encrypts data storage on edge devices.

The package contains server-side management tools to manage edge devices at the server, including a web-based UI that monitors several edge systems from one server.

For more information contact AAEON online at https://www.aaeon.com/en/article/detail/software_security_framework.