Dr. Perry M. Brunette, Ph.D., is a visionary leader driving transformative advancements in healthcare through artificial intelligence. With a Ph.D. in Business Administration from California Regency University (2019) and a distinguished role as a Board of Directors member, Dr. Brunette combines academic rigor with practical innovation. As the founder of PathFree Technologies, he spearheads groundbreaking AI solutions that address critical healthcare challenges, from emergency response to cognitive care.
Pioneering AI for Healthcare
“At PathFree Technologies, we don’t just adopt technology—we redefine how it serves humanity. Our mission is to save lives and enhance well-being through intelligent, compassionate systems.”
Under Dr. Brunette’s leadership, PathFree has developed AIMediQ™, the world’s first AI-powered Code Cart, and datasyteAI, a platform that enhances clinical decision-making during Code Blue events. By leveraging AI, machine learning, and natural language processing, Dr. Brunette is reshaping the future of healthcare delivery.
— Dr. Perry M. Brunette, Ph.D.
datasyteAI, developed under Dr. Brunette’s guidance, adapts to your hospital’s protocols and expert preferences. With clinician-in-the-loop training, it provides real-time guidance, timing cues, and documentation prompts, modeled after how your top performers lead a code.
From faster decisions to stronger safeguards—why AIMediQ™ powered by datasyteAI™ stands apart.
Step-by-step AI guidance replicating top medical professionals’ decisions under pressure.
Reduces delays in defibrillation, medication dosing, and airway management during Code Blue events.
Preparing for Q-Day with a roadmap toward quantum-resistant cryptography.
Built for clarity under pressure—assist the code leader, support the team, and produce a clean record of care.
Launch a Code Blue session fast. Timers and prompts align with your local pathway from the first tap.
Cadenced cues for compressions, rhythm checks, meds, and airway—sequenced how your experts run a code.
Actions and timestamps are captured for accurate review, QI, and EMR-ready export.
Mimic your best clinicians with expert-curated exemplars and protocol alignment.
Consistency that reflects your best practice—without adding noise.
A quick explainer to align stakeholders on the scenario datasyteAI supports.
According to Henry Ford Medical Center: Sudden cardiac arrest is a medical emergency caused by an unexpected loss of heart function, breathing, and consciousness. Unlike a heart attack, where the heart may continue beating, sudden cardiac arrest stops the heart entirely. Without immediate response, brain damage or death can occur within minutes.
One of the leading causes of death among American adults is sudden cardiac arrest, with ~650,000 incidents per year, 80% of which are fatal. The challenge is time and execution. Every second counts.
The world’s first AI-powered Code Cart, powered by datasyteAI.
Fragmented tools vs. unified, intelligent resuscitation.
Carts today = storage, no intelligence
Diagnostics don’t run workflows
Imaging/stroke ≠ Code Blue
Hardware + AI + workflow
US cardiac arrests / year
Out-of-hospital fatality rate
Code carts in US hospitals
Global AI healthcare market
Every acute-care hospital relies on code carts. With ~50,000 in the U.S. alone—and none offering embedded intelligence—the opportunity is enormous. Ambulatory surgical centers, urgent care, and EMS expand the market further.
PathFree targets a fast-emerging category: intelligent resuscitation systems.
PathFree has secured $914,750 in pre-seed funding and is raising $5M in Series A for FDA clearance finalization, manufacturing scale-up, and market expansion.
Designed for healthcare environments and data stewardship—now adding quantum-resistant protection (in progress).
Role-based access controls and audit trails. Identifiers minimized by design in event logs.
Retrospective case testing, SME sign-off, versioned releases, and rollback path for safe adoption.
Structured output designed to flow into quality pipelines and downstream records.
*Forward-looking statement; availability/scope depend on regulatory guidance and partner readiness.
Navigating the pitfalls of AI adoption with discipline and strategy.
AI itself is not the issue. In fact, it’s one of the most powerful computing evolutions humanity has ever created. The problem is how companies are approaching it. Instead of leveraging AI’s unique strengths—reasoning, generative design, pattern recognition, and conversational fluency—organizations are attempting to bolt it onto legacy workflows. This is the equivalent of strapping a jet engine to a horse cart.
AI is not a hammer to smash every problem. It’s more like a precision screwdriver—ideal for tasks requiring insight and adaptability. Yet most companies treat AI as a universal tool. No chatbot can fix a broken customer service chain still tied to outdated approvals. Without restructuring workflows, AI simply accelerates inefficiency.
History reminds us of cycles of overhype and collapse: the 1970s AI winter when funding dried up, and the 1990s expert systems crash when promises failed to materialize. Today, the danger isn’t AI’s capability—it’s misuse. Another AI winter would stall progress and damage trust.
AI’s future is still bright. Properly applied, it can revolutionize industries. But only disciplined, intentional companies will thrive. The rest will waste capital and credibility.
Alan Greenspan once warned us about “irrational exuberance” during the dot-com boom and housing bubbles—today, we’re seeing it again with artificial intelligence. The problem is corporate exuberance: companies force AI into outdated models, like strapping a jet engine to a horse cart. 95% of generative AI pilots fail, per MIT, because executives chase hype without strategy. AI amplifies flaws—biased systems reject faster, shaky supply chains collapse, and inefficiencies scale. Leaders must pinpoint high-value use cases, redesign workflows, set clear KPIs, and drive cultural change. Without discipline, we risk another AI winter, like the 1970s and 1990s, stalling progress. But with care, AI can reshape industries—those who wield it like a precision screwdriver will lead, while others crash their horse carts.
It’s when businesses overhype AI and force it into outdated systems without real strategy.
Because companies fail to redesign workflows, set clear KPIs, and support cultural transformation.
AI can magnify flaws—biased systems, fragile supply chains, and inefficient workflows.
By focusing on measurable use cases, redesigning processes, setting KPIs, and driving cultural change.
A collapse in funding and trust when overhype outpaces reality—seen in the 1970s and 1990s.
At PathFree Technologies, we build AI systems designed for measurable impact in healthcare and beyond.
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