Artificial intelligence is no longer a future disruptor – it’s already transforming healthcare delivery. From AI-assisted diagnostics to predictive analytics and virtual surgical planning, healthcare AI is reshaping how care is delivered, how clinical resources are managed, and how patients engage with the system.
At a recent book discussion at the Army Navy Country Club in Arlington, Virginia, retired U.S. Navy Captain and thoracic surgeon Dr. Hassan Tetteh explored these themes through the lens of his new book, Smarter Healthcare With AI: Harnessing Military Medicine to Revolutionize Healthcare for Everyone, Everywhere. Interviewed by Colonel (Ret.) Dr. Caesar Junker, a former presidential flight surgeon, Tetteh outlined a pragmatic vision for integrating AI into healthcare, informed by military deployments, academic medicine, and his leadership at the Department of Defense’s Joint Artificial Intelligence Center (now part of the Chief Digital and Artificial Intelligence Office).
Real-World Results from Healthcare AI
“I don’t think this is hyperbole,” Tetteh said. “AI is going to fundamentally change healthcare in the coming years. It already has in so many ways.” He points to real-world outcomes: Johns Hopkins’ AI-powered command center increased capacity for complex cancer cases by 60% and cut emergency room boarding time by 25%. A rural hospital in Michigan saw a 56% drop in cardiac and respiratory arrests after implementing an AI-enabled early warning system.
Healthcare’s Structural Roadblocks
Despite the promise, systemic challenges remain. “As a physician, I feel healthcare has failed people in a number of ways,” Junker said. “The science is there, but the step from provider to patient has been ignored.”
Tetteh agreed, pointing to the fragmented nature of the system. “Healthcare is very amorphous,” he said. “Everyone has different incentives, such as insurance companies, hospitals, big pharma, providers, patients. Patients’ incentives rarely align with this.” Even proven technologies struggle to gain traction. To overcome this, Tetteh stresses three critical success factors: validation, scalability, and saleability. Without all three, even the most promising healthcare technologies are unlikely to reach widespread adoption.
A National Security Imperative
The resistance to AI in healthcare is reminiscent of the 18th-century fight against scurvy. The British Navy knew citrus prevented the disease, yet millions died before the cure was embraced. When adopted, it didn’t just save lives—it enhanced operational readiness. Tetteh argues that AI represents a similar inflection point for today’s healthcare and national security. “When service members cannot deploy because of health concerns, the ripple effect impacts our military’s defense capabilities,” he writes. “The DoD spends an estimated $3 billion annually on non-deployable Army personnel alone.”
Healthcare AI for the Warfighter—and the Civilian
From shipboard medicine on the USS Carl Vinson to trauma care in Afghanistan, Tetteh witnessed firsthand how constrained environments demand scalable, data-driven tools. The Defense Advanced Research Projects Agency has launched a Triage Challenge, with a mission to bring AI to the warfighter. One application: smartphone-based AI that can predict internal bleeding using vital signs collected in the field. “The best tech may already exist,” he said. “We just need a way to onboard it.”
Scaling Clinical Capacity with Healthcare AI
Tetteh sees AI as key to expanding clinical capacity without scaling staffing. “Physicians aren’t going to be replaced,” he said. “But physicians who don’t use AI will be.” The World Bank projects a shortfall of 15 million healthcare workers by 2030, based on WHO data. Without AI, the global health system may struggle to close the gap.
He envisions a near-future healthcare model where biometric sensors collect health data, AI models interpret results, and treatment is dispatched—all without a clinic visit. “We lived through a pandemic that fundamentally changed people’s expectations of care,” he said, noting the acceptance of virtual visits, care via chat and other online care. “Who’s going back to the old model?”
Cautious Optimism—and Urgency
Tetteh is optimistic but realistic. He acknowledges risks in data quality, algorithmic bias, and regulatory complexity. Yet he’s confident in the trajectory. “The AI you’re using today is going to be the worst AI you’ll ever use in your life,” he said. The pace of innovation will only accelerate.
His closing thought is pragmatic and human-centered: “AI will change everything—except the things that matter most.” The objective is not to replace clinicians, but to equip them to make smarter, faster, and more personalized decisions. As with citrus in the age of sail, the challenge isn’t discovering what works—it’s deploying healthcare AI at scale, with intention.
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