Best Healthcare AI Experts

Dr. Pietro Emanuele Garbelli (“Dr Garbelli”) is a UK-based physician, healthcare strategist and MedTech advisor focused on assisting healthcare leaders and organisations adopt, navigate, and implement AI/robotics and healthcare automation safely, ethically and at scale. Working at the intersection of clinical practice, technology and executive decision-making, he supports boards, executive teams and MedTech leaders to turn innovation into measurable improvements in patient outcomes, workforce sustainability and operational performance. Dr Garbelli is the creator of the Healthcare Convergence Framework™ (HCF), a practical approach that helps organisations assess AI/Robotics readiness, align leadership priorities and design future-ready care pathways without disrupting frontline delivery. His work typically spans AI and robotics strategy, governance and risk management, clinical adoption and change leadership—ensuring that new technologies strengthen trust, accountability and safety in real-world conditions. As a keynote speaker and author, Dr Garbelli translates complex topics such as AI governance, clinical safety, ethics and system transformation into clear, actionable insights for senior audiences. He is the author of The Doctor’s Future and The Doctor’s Voice, and contributes thought leadership on how medicine is being reshaped by digital transformation and emerging technologies. Known for a pragmatic, clinician-led perspective, Dr Garbelli helps leaders navigate high-stakes decisions such as build-versus-buy, pilot design, evaluation and scaling across multiple sites. His mission is to purposefully transform the future of medicine—one organisation, strategy and physician at a time—with confidence.

I began my journey with mathematics, drawn to the way numbers could reveal patterns, structure, and meaning. That foundation led me to pursue a master’s in data science at Johns Hopkins University, where I learned how to turn analytical thinking into practical tools for solving real-world problems. Over time, my path became more focused: I found purpose in applying data science to healthcare. Today, as a Data Scientist at Lucem Health, I work on clinical AI solutions that help healthcare organizations identify disease risk earlier and support more proactive care. My work focuses on building machine learning models and longitudinal EHR pipelines for early disease detection and risk stratification across a range of chronic and rare diseases. What drives me is the belief that healthcare AI should not only be technically strong, but also practical, trustworthy, and responsible. I work across data science, clinical context, product strategy, and responsible AI evaluation to help turn complex healthcare data into early risk signals that care teams can actually use. My story is about connecting mathematical rigor, data science, and human impact: using AI not just to predict outcomes, but to help people act sooner, make better decisions, and improve care.

Brian is the Chief AI Officer at Health-Vision.AI, LLC, where he leads responsible AI implementation and develops ethical AI, security, and governance frameworks for healthcare and life sciences organizations in the US and EU. He is also the founder of Envision-Health.AI and creator of HealthRoundsAI, a platform that helps future clinicians use AI ethically and communicate more effectively with patients. With decades of public- and private-sector experience in health tech, AI strategy, data governance, and digital innovation, Brian is a recognized thought leader on AI ethics, AI governance, and the societal impacts of AI in healthcare. He also serves as an adjunct instructor in social sciences and AI ethics and has published in JMIR, Public Health Reports, and the Journal of Community Health.

With a PhD in molecular genetics and as a specialist in data science, Céline Chantry-Darmon has over twenty years of experience in biomedical research and complex data analysis. As Scientific Director at Tekkare, she works on developing trustworthy artificial intelligence for healthcare. She is also committed to promoting inclusive and responsible artificial intelligence, and to advancing women in science and technology.

Mrs. Durga Chavali is an internationally recognized IT healthcare leader and AI researcher with nearly two decades of experience and a proven track record of implementing enterprise-level technology strategies that improve efficiency, drive digital transformation, and enable data-driven decision-making. She is the proven leader in implementing complex, high-stakes healthcare IT projects with significant ROI, guiding enterprise-level initiatives from concept to execution, and enabling organizations to make informed decisions that optimize operations, reduce risk, and enhance financial and clinical outcomes. Ms. Chavali is a Doctor of Health Care Administration and a results-driven healthcare IT executive who consistently delivers measurable improvements in clinical outcomes, operational efficiency, and financial performance by making strategic, data-informed decisions that optimize enterprise-level processes and drive organizational success. She has been honored with the Fellow Honorary of IETE, Distinguished Fellow of SCRS, and Honorary Inducted Member of Phi Kappa Phi. Mrs. Chavali has been recognized for thought leadership through publications in leading healthcare and AI journals and business magazines, translating complex research into actionable strategies that improve patient outcomes, operational efficiency, and financial performance in enterprise healthcare settings. Mrs. Chavali is also a trusted advocate and coach in the AI era, leveraging a strong research background to guide organizations in adopting innovative AI-driven strategies and driving business transformation toward measurable success Mrs. Chavali is an award-winning healthcare IT leader, recognized with the Inspera and ITA Awards for Distinguished Research and Breakthrough Innovation, pioneering innovative solutions that integrate research and industry expertise to drive AI-powered analytics, predictive insights, and compliance automation, delivering measurable improvements in care quality, operational efficiency, and financial outcomes. Ms. Chavali has been further recognized by the most popular and high-circulation media and featured in respected industry publications such as TechBullion and TechTimes, leveraging published insights on healthcare IT, AI, and data-driven innovation to influence cross‑industry discourse and drive enterprise‑level transformation. Mrs. Chavali contributes to organizations such as IEEE and ACM and supports the community through her expertise.

I build infrastructure for emerging technology transitions—and have been doing it for 20 years. Many know me for my work in digital health, where I spent two decades helping the industry understand how technology shapes behavior and decision-making. That work taught me something: every major platform shift creates new vulnerabilities and opportunities, and the companies that thrive are the ones who see them early. Today I'm focused on the agentic era—where AI systems operate autonomously and require fundamentally new approaches to security, commerce, and trust. WHAT I'VE SHIPPED Co-author of the #1 bestselling book ePatient 2015: 15 Surprising Trends Changing Healthcare (featured in Bloomberg, Forbes, and other publications). Co-founder of the FemAging Project, a global initiative driving women's health innovation. Creator of Femalytics, an AI-powered intelligence platform. Author of two FemAging Index studies, including one sponsored by AARP. Founder of Enspektos, LLC (est. 2005), which has evolved through Web 2.0, mobile, and ML eras—always at the intersection of emerging tech and real-world application. WHAT I'M BUILDING NOW AI Security Guard (aisecurityguard.io) is a multi-faceted platform for securing autonomous AI, combining protection APIs, product tooling, education, and original research on the agentic future.

Elizabeth (Liz) Ngonzi is a human-centered AI leader, executive advisor, and educator who designs AI-powered decision environments that strengthen human judgment, leadership, and institutional accountability. She works with boards, executive teams, and global institutions to move AI from experimentation to disciplined, system-level adoption—improving decision quality, governance, and strategic clarity. Liz is the Originator, Editor-in-Chief, and Founding Platform Architect of AI for Humanity: Human-Centered Strategies for Innovation and Impact, an AI-powered platform and living anthology developed in collaboration with the American Society for Artificial Intelligence (ASFAI), where she also serves on the Board of Directors and as Founding Chair of the Ethics & Responsible AI Committee. Through this work, she convenes and synthesizes contributions from 40+ global authors, applying her 1+1+AI=10™ methodology and SHINE™ storytelling framework to translate complex AI discourse into clear, actionable insight for leaders responsible for governance, workforce transformation, and innovation. An Adjunct Assistant Professor at NYU’s Center for Global Affairs, Liz designs and teaches the AI for Impact professional learning series, equipping cross-sector leaders to build practical, ethical AI use cases and custom agents. Her teaching integrates real-world experimentation with tools including ChatGPT, Canva, AskHumans, NotebookLM, and Liz Ngonzi GPT ∞, demonstrating how AI can enhance, not replace, human judgment, accountability, and public communication. Since 2023, her AI leadership initiatives have reached more than 12,000 professionals across six continents. Her applied work includes collaborations with Cornell Tech, the Mensa Foundation, and global institutions advancing dialogue at the intersection of AI, democracy, and language. She is an inaugural member of the Gamma Gambassador Council and a member of the inaugural Perplexity AI Business Fellowship. At Davos 2026, she launched AI for Humanity @ Davos, delivering real-time synthesis of global conversations on AI, governance, and workforce transformation. With more than 25 years of cross-sector experience spanning technology, business, education, and social impact, Liz works selectively with organizations seeking clear, accountable, and human-centered approaches to AI leadership.

*Board-Certified Family Medicine Physician (ABFM) with 14+ years clinical experience (based in Chicago, IL) *Named Castle Connolly Top Doctor (2024, 2025) *Medical Media Commentator seen on/in ABC 7, Fox 32, CBS 2, WGN 9, The Chicago Tribune , Chicago Sun Times, and Everyday Health; including a nationwide 25 interview satellite media tour (TV & radio, November 2025) *Premedical Student Mentor, Urban Bridges Medical Mentoring Program Dr. Rene is a board-certified Family Medicine physician and Fellow of the American Academy of Family Physicians (FAAFP) with 14+ years of clinical experience. She provides comprehensive primary care for Medicare-eligible patients at Oak Street Health's Avalon Park location in Chicago, specializing in chronic disease management, preventive care, healthcare equity, and access for underserved communities. After overcoming 50 medical school rejections, Dr. Rene graduated from Indiana University School of Medicine and completed residency training at Ascension Saint Joseph Hospital - Chicago. She developed the L.Y.M.I.T.S. Method—a framework for transforming limitations into your greatest strengths. She mentors aspiring physicians through the Urban Bridges Medical Mentoring Program. Dr. Rene has appeared as a medical expert on ABC 7, Fox 32, CBS 2, and WGN 9 Chicago and recently completed a 25-interview national satellite media tour. She is available for expert commentary on resilience in healthcare, medical education equity, resilience and overcoming failure, healthcare access for underserved populations, and diversity in medicine.

I am a research scientist with expertise in machine learning, neuroimaging, and clinical data analysis. My work focuses on applying AI, signal processing, and multimodal data integration to EEG, MRI, and related biomedical data, with experience spanning academia, healthcare, and industry. I have developed machine learning and deep learning pipelines for neural decoding, clinical document processing, and predictive modeling, and I have published and presented research in computational neuroscience and medical AI.

Dr. Lillian Liang Emlet, MD MS CHSE CPC ELI-MP FCCM is a critical care and emergency physician, professor, and certified executive coach working at the intersection of healthcare leadership, clinician wellbeing, and innovation. With more than 20 years of experience in academic medicine, she serves as Professor of Critical Care Medicine and Emergency Medicine at the University of Pittsburgh School of Medicine and practices clinically as an intensivist at the VA Pittsburgh Healthcare System. Dr. Emlet is the founder of Transforming Healthcare Coaching®, an executive coaching and leadership development firm supporting physicians, healthcare executives, and high-performing clinical teams in navigating complexity, stress, and organizational change. Her work is grounded in evidence-based leadership development, emotional intelligence, and the Energy Leadership Index (ELI), helping leaders strengthen decision-making, communication, and resilience in high-stakes environments. Through individual executive coaching and systemic team coaching, Dr. Emlet partners with organizations to build aligned, psychologically safe, high-trust teams capable of sustained performance and cultural transformation. Her expertise spans team dynamics, simulation-based education, and leadership under pressure—bringing a rare combination of frontline clinical credibility and strategic coaching insight. In addition to her work in healthcare leadership, Dr. Emlet is passionate about advising healthcare technology, AI, and startup teams seeking clinical expertise, market-informed perspective, and mission-aligned guidance. She supports innovators building solutions that meaningfully improve the lives of clinicians, patients, and care systems. Dr. Emlet is a proud Ambassador for the Dr. Lorna Breen Heroes Foundation, a member of the International Coaching Federation, and host of the Transforming Healthcare Coaching Podcast. Her guiding belief is simple: healthcare transforms when leaders are supported to thrive—and when teams are empowered to lead with clarity, courage, and purpose.

With over 15 years of hands-on experience in affiliate marketing, e-commerce, and digital growth strategy, I’ve helped brands scale profitable online partnerships and build high-performing affiliate ecosystems. As the founder of BestAIFor.com - a fast-growing AI tools directory, benchmark platform, and independent review hub - I now combine my performance marketing background with deep expertise in the AI landscape. I personally evaluate and benchmark hundreds of AI tools every month, tracking real-world metrics like speed, accuracy, pricing shifts, ROI, and usability across productivity, content, marketing, and creative workflows. My work focuses on cutting through the hype to deliver actionable, data-backed insights that help solopreneurs, marketers, and businesses choose the right AI stack for 2026 and beyond. Whether I'm setting up affiliate programs for AI tool makers, optimizing campaign performance with AI-powered automation, or identifying emerging trends through original benchmarks, I’m driven by one goal: turning complex technology into practical growth advantages. I’m passionate about sharing transparent, no-BS analysis and helping the industry move faster with better information. You’ll often find me publishing fresh benchmarks, “State of AI Tools” micro-reports, and strategic guides on BestAIFor.com.

As the CMO and Founding Member of AiNews.com, I’m passionate about making AI news accessible and understandable to audiences worldwide. My journey in AI journalism and digital marketing has been driven by a commitment to responsible, transparent reporting and a vision of democratizing AI insights. At AiNews.com, we bring the latest in AI developments to a global readership, blending timely, in-depth reporting with cutting-edge storytelling, including AI avatars that bring complex stories to life. I helped found AiNews.com to fill a gap in aggregating trustworthy AI news in one place, helping leaders in AI and tech stay informed on impactful trends while minimizing their time in searching for news. Our team’s dedication to transparency and ethical reporting has established AiNews.com as a respected source among AI enthusiasts, tech leaders, and business decision-makers. Journalists interested in AI's evolving impact on business, society, and emerging tech will find AiNews.com’s perspective invaluable. I'm excited to connect, collaborate, and share insights that contribute to understanding and shaping AI's future.

We are a team of healthcare marketers, data scientists, and technologists dedicated to helping healthcare organizations thrive in the digital age. Our mission is to empower healthcare providers with the digital marketing tools and strategies they need to reach more patients, improve health outcomes, and grow their practices. We believe that by combining cutting-edge technology with a deep understanding of the healthcare landscape, we can create a more connected and accessible healthcare ecosystem for everyone. Our Vision To be the world's most trusted and effective digital marketing partner for the healthcare industry. Our Approach A data-first, ROI-focused methodology supercharged by proprietary AI. Our Core Values The principles that guide our work and our partnerships. Innovation We are relentless in our pursuit of better ways to deliver results, leveraging AI and technology to stay ahead. Integrity We operate with transparency and honesty. Our clients' trust is our most valuable asset. ROI-Focused We are obsessed with performance. Every action we take is aimed at delivering a measurable return on investment.

Dr. Chantal Lunderville, MD is a UCSF-trained family medicine physician and nationally recognized expert in medical wellness, aesthetics, compliance, and practice growth. She serves as the Medical Wellness Editor for Lipgloss and Aftershave, a leading spa industry publication with a reach of more than 250,000 readers and followers. She has been mentioned in Forbes, and she has been a featured speaker for global brands including L’Oréal and Epicutis. As the medical director for 20+ aesthetic and wellness practices across California, Dr. Lunderville specializes in helping doctors, nurses, and entrepreneurs build safe, compliant, and scalable practices. She and her team have developed proprietary software that enables medspas to track compliance, medical director oversight, and regulatory requirements- now being made available to the public to elevate industry standards. She has also hosted large-scale women's wellness events and professional trainings with sponsors such as goop Kitchen, AQ Solutions, UnderSkin, South Coast Psychiatry, and Reproductive Partners. A former medical spa owner turned national consultant, Dr. Lunderville empowers women in aesthetics to build legacy-driven, ethical businesses. She is also a leader in longevity and preventive wellness, blending evidence-based lifestyle wellness with advanced regenerative treatments. She is also an aesthetic and womens health trainer focusing on new practitioners. Dr. Lunderville is available for expert commentary on aesthetics, medical wellness, compliance, women’s entrepreneurship, and the future of longevity medicine.

Pranav Saji is an AI Security and Generative AI expert based in the San Francisco Bay Area, currently Head of AI Security at Symosis Security and a Machine Learning Consultant at LinkedIn. He has delivered over $50M in business impact across Fortune 100 enterprises and startups, founded or led AI at 5+ companies, and built production AI systems spanning security analytics, agentic workflows, and large language model applications. A recognized voice on AI agent and MCP security, he publishes thought leadership in outlets such as HackerNoon and advises enterprises on securing generative AI and agentic systems. He is an accepted trainer at OWASP Global AppSec USA 2026 and a Core Judge for the USAII Global AI Hackathon. He holds a Master's in Computer Science (AI specialization) and CompTIA Security+ and Azure AI Engineer certifications.

I'm a problem-solver at heart who believes the best AI tools aren't built by just looking at code, but by looking at real-world friction. While I'm not a traditional engineer, I have spent years experimenting with artificial intelligence to understand how it can genuinely make life easier for people in high-stress industries. One such industry is healthcare. From chats with nurses & industry research, I learned that generic job boards waste time for essential healthcare workers and slow down hiring for employers. So I began leveraging AI to build a platform (IntelliResume Health) that matches nurses with the right roles quickly. My goal is to use intelligent automation to take the "busy work" out of the job search so nurses can focus on what they do best- patient care. I'd enjoy speaking with the media about: - Why better tech (not just more recruiters) is the key to healthcare hiring in 2026 - How founders/small businesses/lean teams can build useful products using tools like Claude Code, Cursor, Gemini, Codex, etc.

I’m a Content & PR Manager at Doctify, representing a number of healthcare professionals who are eager to be featured in health-related media articles - alongside Doctify.

Nihit Gurram works at the intersection of clinical practice and applied AI. A health-informatics graduate student with a medical-school background, he founded Mosaic Health Solutions to build clinical decision support that catches medication-related risk in older adults before it causes harm. His approach centers on transparent, explainable systems that keep clinicians in control rather than replacing their judgment. He brings together formal informatics training, hands-on product development, and a long-term commitment to improving how aging populations are cared for. The throughline of his work is patient safety made practical, grounded in clinical reality, with a goal of democratizing healthcare access.

I'm James Leuthe, CEO of Scopewell Solutions, working at the intersection of AI, enterprise technology, and organizational change. My perspective is simple: most AI and digital transformation efforts fail for organizational reasons, not technical ones. I work with leaders to close that gap. Scopewell partners with enterprise and mission-driven organizations to deliver CRM, workflow, and AI initiatives from strategy through execution. Beyond implementation, we build the operating model, governance, and adoption required to make these systems deliver real outcomes. I hold a Master of Science in Technology Leadership from Brown University, where my research examined why AI adoption stalls in regulated industries — a question I continue to explore through advisory work, writing, and speaking. I hold an AI ethics certification from the University of Oxford and am a certified AI professional through Oxethica. I host The Scopewell Podcast: Ideas to Impact Healthcare, featuring executives, clinicians, and researchers navigating the hardest problems in health systems and technology. Guests include leaders from Microsoft, Stanford, and AI-native health companies redefining how care is delivered. I'm available to speak on AI adoption in healthcare and regulated industries, responsible AI implementation, and the leadership realities of digital transformation.