BOSTON - BostonChron -- Boston, MA — Over 60 healthcare leaders, including surgeons, investors, and AI innovators, gathered in Boston for AI in Healthcare: Clinical Perspectives From the Frontlines, an evening hosted by Predictive Healthcare and Big Tree Innovation Fund. The event explored how artificial intelligence is transforming patient care, improving recovery, and easing clinical workloads.

Jeff Berman, Co-Founder and Managing Partner of Big Tree Innovation Fund, opened the evening by emphasizing the importance of collaboration across healthcare and technology. "The future of healthcare doesn't get built in a silo," said Berman. "It's clinicians who feel the pain points, innovators who obsess over solutions, and investors with the conviction to bring it all together." Commending Predictive Healthcare's work, he described MyHealthPal as "a powerful leap forward: practical, scalable, and impactful."

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Professor Gary Young, PhD, JD, Director of the Center for Health Policy and Healthcare Research at Northeastern University, delivered the keynote on AI's growing role in medicine. "The global market for AI in healthcare is massive and expanding rapidly," he noted. "After years of cost pressures, we finally have the tools: predictive analytics, automation, and better care coordination, to respond intelligently."

Following the keynote, Talal Ali Ahmad, three-time founder and CEO of Predictive Healthcare, introduced MyHealthPal, an AI-powered wound monitoring and patient triage platform that helps reduce surgical site infections (SSIs) and improve recovery. Instead of relying on paper checklists, patients securely upload incision photos analyzed by Predictive's FDA-listed AI algorithm to flag early infection risks. "AI isn't replacing clinicians, it's extending their reach," said Ahmad. "It connects patients and providers continuously, helping them make better, faster decisions."

A panel of leading surgeons—Dr. Theofanie Mela (Mass General Brigham), Dr. Christopher Homsy (Tufts Medical Center), and Dr. Edward Kobraei (Kaiser Permanente)—shared firsthand experiences using AI in surgical care.

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Dr. Kobraei emphasized the need for visibility after discharge: "We perform complex operations and then tell patients, 'good luck.' AI bridges that blind spot, showing us who really needs attention." He added, "The future of healthcare is in the home. Hospitals should treat the most complex problems, while AI enables continuous care remotely."

Dr. Mela reflected on patient trust and education, noting that transparency helps patients embrace digital tools. "The more information and training we provide, the more we can rely on AI to support patient health and system efficiency."

Dr. Homsy underscored the urgency of adoption: "There's big momentum right now, every industry is embracing AI, and healthcare is no exception."

Panelists agreed that AI in clinical care is no longer theoretical, but rather practical, scalable, and urgently needed.

For more information or pilot inquiries, contact talal@predictivecare.ai and visit https://predictivehealthcare.ai/