❤️AI-Powered Leadless Pacemakers Are Changing Heart Treatment : Issue # 45

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AIHealthTech Insider: Issue #45

21st April, 2025

Get ready to explore the future of healthcare! In this week’s AIHealthTech Insider, we dive into AI revolutionizing knee surgeries in Abu Dhabi, tiny pacemakers saving hearts, and wearables guiding the blind through bustling cities. From smarter hospitals to faster forensics, discover how AI is making lives healthier and easier.

Don’t miss our new poll at the end! 👇

AI-Powered Orthopedic Care Lands in Abu Dhabi

Burjeel Holdings and South Korea’s CONNECTEVE have teamed up to launch the UAE’s first Department of Health (DoH)-approved AI knee diagnosis platform at Burjeel Hospital Abu Dhabi, announced during Abu Dhabi Global Health Week. This landmark partnership introduces CONNEVO KOA and CONNEVO ALI, advanced AI tools designed to revolutionize musculoskeletal care, particularly for conditions like osteoarthritis and deformities.

These tools enhance diagnostic accuracy for knee conditions, aid in surgical planning, and provide comprehensive post-surgical assessments, improving outcomes and reducing unnecessary procedures. The partnership was formalized by Mr. John Sunil, Group CEO of Burjeel Holdings, and Dr. Du Hyun Ro, CEO of CONNECTEVE, with key figures present. Visitors witnessed live technology demonstrations.

Why It Matters:

This collaboration marks a leap in orthopedic care, combining South Korea’s AI expertise with the UAE’s advanced healthcare infrastructure to deliver precise, patient-centered solutions.

👉Read More: CONNECTEVE

AI-Enhanced Leadless Pacemakers Redefine Heart Care

A new wave of AI-assisted leadless pacemakers is transforming cardiac treatment for patients with bradycardia. Unlike traditional devices, these compact implants require no surgical leads, making them minimally invasive with significantly fewer complications.

By integrating AI, these pacemakers enable real-time monitoring, personalized pacing adjustments, and better long-term outcomes. Physicians gain deeper insights while patients benefit from a safer, more efficient solution for managing irregular heart rhythms.

Why It Matters:

This innovation signals a major shift in cardiac care—bringing precision, safety, and ease to a procedure that once required invasive surgery.

👉 Read more: Medical Express

AI-Powered Wearables Help the Blind Navigate Cities with Ease

A wearable system developed by Shanghai Jiao Tong University researchers aids visually impaired individuals using AI, smart cameras, and vibrations to navigate obstacles in real time. The device features a camera-mounted headset, machine-learning algorithms, and audio cues every 250 milliseconds for precise navigation.

The wearable includes 'artificial skin' patches on the wrists and fingers that vibrate to alert users of nearby obstacles or when to grab objects, enhancing spatial awareness beyond traditional canes. Early trials showed a 25% improvement in walking speed and navigation accuracy in indoor mazes and proved effective in real-world settings like crowded streets and furniture-filled rooms.

Why It Matters:
AI is turning mobility aids into intelligent co-pilots—replacing guesswork with guided autonomy. For millions with vision loss, it’s more than assistive tech—it’s a step toward independent living.

👉 Source: Nature

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AI and Robots Boost Hospital Efficiency at El Camino Health

El Camino Health is redefining hospital workflows with AI-powered tools and autonomous robots across its California campuses. From medication delivery to lab sample transport, these systems handle routine tasks so clinicians can focus on direct patient care.

AI is also enhancing clinical operations—predicting patient deterioration, identifying fall risks, reading X-rays, drafting visit notes, and even composing patient messages. Doctors are saving hours per shift, while early detection rates and response times improve system-wide.

Why It Matters:
This tech-driven model is making care faster, safer, and more precise—showing how smart hospitals can scale quality without burning out their staff.

👉 Read more: Medical Express

AI Speeds Up Forensic ID with Chest X-Ray Matching

Researchers at Michigan State University have developed an AI system that analyzes chest radiographs to help forensic teams quickly identify individuals. Using deep neural networks, the system can scan over 1,800 radiographs in just 17 seconds—versus 30–60 hours manually.

By focusing on regions of interest in each image, the AI helps shortlist potential matches in mass fatality cases or missing persons databases, significantly reducing human bias and accelerating the identification process.

Why It Matters:
This marks a first-of-its-kind use of AI in forensic radiograph analysis—turning slow, manual work into rapid, scalable identification that can save time and bring answers faster in critical situations.

👉 Read more: ieeexplore.ieee.org

AI Unlocks the Cerebellum’s Neural Code with Precision

Neuroscientists from Baylor College of Medicine and global collaborators have built a powerful deep learning tool that can identify the exact type of neuron firing in the cerebellum during behavior. The classifier, trained on tagged neural signals, helps decode how this vital brain region transforms input signals into motor actions.

By linking neuron activity to specific cell types, the AI provides unprecedented insight into the brain's internal circuits—revealing how movement, balance, and speech are orchestrated at the cellular level.

Why It Matters:
This is a major leap for neuroscience, enabling researchers to go beyond just observing brain activity—to understanding the “who” behind every signal. It paves the way for targeted treatments of neurological disorders tied to cerebellar dysfunction.

👉 Read more: cell.com

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