Why AI Works Best With Humans in the Loop

In healthcare, the most important question about artificial intelligence is not whether it is powerful, but whether it is safe. At Octagos, we believe the future of clinical AI is not replacement, but reinforcement. AI should amplify human expertise, reduce unnecessary burden, and help clinicians focus on what matters most: patient care.

That belief is now validated by peer reviewed evidence.

A newly published study in JACC: Advances confirms that Atlas AI™ is the first large-scale, real world AI solution proven to safely reduce the data deluge from cardiac implantable electronic device (CIED) monitoring while improving detection of true clinical events.

The Problem: Data Deluge in Cardiac Remote Monitoring

Remote monitoring of cardiac devices saves lives, but it also generates an overwhelming volume of data. Device clinics face hundreds of thousands of transmissions, many of which are non actionable. The result is clinician fatigue, staffing strain, and delayed attention to the patients who need it most.

The key challenge has always been this: how do you reduce volume without missing critical events?

The Evidence: Atlas AI Delivers Safety at Scale

The JACC: Advances study analyzed 690,673 transmissions from 74,217 devices across 78 U.S. clinics, making it one of the largest real world evaluations of AI in cardiac remote monitoring to date.

The results were clear.

• Atlas AI forwarded only 22.8% of transmissions, compared with 38.5% forwarded by device technicians.
• This represents 40% fewer transmissions sent to clinics, directly reducing workload.
• Sensitivity reached 99.1%, meaning Atlas AI caught virtually every true clinical event.
• Human readers alone achieved only 70.8% sensitivity, missing far more true events.
• Overall accuracy was comparable between AI and humans.

In short, Atlas AI reduced volume while improving safety, a combination long thought to be impossible.

Why Sensitivity Matters More Than Ever

In cardiac care, sensitivity is not just a statistic. It represents real patients whose arrhythmias, device issues, or clinical changes are caught before harm occurs.

Filtering data too aggressively increases the risk of missed clinical events. Atlas AI demonstrated that safety and efficiency can coexist.

AI uncovers the problem. Humans bring clarity, context, and compassion.

Beyond AI: The Two-Brain Approach™

While Atlas AI alone delivers safety and scale, Octagos goes one step further.

Octagos pairs Atlas AI with IBHRE certified human oversight through the Two-Brain Approach. This workflow combines:

• The speed, consistency, and sensitivity of AI
• The clinical judgment, contextual understanding, and accountability of expert humans

The result is performance no other platform has demonstrated.

When Atlas AI is paired with IBHRE certified readers:

• Accuracy reaches 99.5%
• Sensitivity remains 99.1%, ensuring no missed patients
• Specificity reaches 99.8%, safely filtering non actionable data

This is not AI replacing clinicians. This is AI strengthening clinical judgment.

What This Means for Device Clinics

The implications are profound.

Safety First
Clinics can trust that critical events are not missed, supported by 99% sensitivity validated in a peer-reviewed journal.

Scalability Without Burnout
Atlas AI automatically filters over two thirds of transmissions, enabling clinics to manage larger patient populations without increasing staff.

Operational Efficiency
By forwarding 40% fewer transmissions than humans, clinics reduce review time, shorten turnaround, and focus attention on actionable care.

Independent Validation
Publication in JACC: Advances provides external, clinical proof of safety and performance unmatched in the industry.

‍A New Standard for Human in the Loop AI™

As the study authors note:

“Our study stands out as a pioneering effort in the practical application of artificial intelligence in routine CIED monitoring. It is the first to provide a head-to-head comparison of performance between AI and human device technicians.” — Danish Bawai, MD, Lead Author

This is what responsible AI in healthcare looks like.

The Bottom Line

AI does not replace clinical judgment. It strengthens it.

Only Octagos and Atlas AI, through the Two-Brain Approach, achieve 99% plus accuracy, 99% plus sensitivity, and 99% plus specificity, delivering unmatched precision, safety, and efficiency for cardiac device clinics.

Read the full study in JACC: Advances.