Best Healthcare AI Experts

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.

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’m an entrepreneur working at the intersection of AI, product execution, and healthcare access. Over the last decade I’ve built and led teams that turn new technology into practical tools for real businesses. I co-founded BotsCrew in 2016, grew it into a global AI services company, and later joined the CourtAvenue collective, where we help large enterprises adopt generative AI with speed and precision. I also founded AllClinicalTrials.com and Curify, two platforms focused on making it easier for patients to find and enroll in legitimate clinical trials. That work started from a personal experience trying to find treatment options for a family member, and it pushed me toward building products that remove friction from complex systems. My background is in applied mathematics and AI, but most of my learning came from building things fast, talking to customers, and fixing what didn’t work. I’m especially interested in how generative AI will reshape operations, customer experience, and decision-making in large organizations. I try to share what I learn - both the wins and the mistakes - so others can move faster.

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. Akvile Ignotaite is a data scientist and founder of System Akvile, a digital skin-health platform designed for long-term, real-world use. Her work focuses on how data quality, system design, and behavioral framing shape outcomes in health technology at scale. She builds AI-enabled skin-health systems used by global, digital-first audiences, with a particular lens on Gen Z and Gen Alpha as the first generations to engage with skin health primarily through software. Akvile is regularly cited in industry and technical conversations on data integrity, AI bias, and the reliability of health systems built on longitudinal data.

Performance-driven marketing and digital technology professional with over 10 years of experience in developing, optimizing, and delivering technologies while building high-performance teams that drive profit, enhance productivity, and position organizations for accelerated sustained growth. Proven skill in defining and balancing strategic business objectives: P&L, technology, risk, customer value, and time-to-market decisions. Creative thinker who applies intuitive intellectual curiosity to solve complex business, organizational, financial, and technological challenges. Excels in bringing together business and technology domain experts while providing the vision and strategies to achieve better execution.

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 founding engineer at a YC-backed startup. I like building things from scratch and actually shipping them. Most of my time is spent writing code, testing ideas, breaking stuff, and fixing it again. Right now I’m working on products that use AI to improve healthcare. I work a lot with LLMs, OpenAI models, and real-time systems, and I care less about buzzwords and more about whether something is genuinely useful for real people. I’ve been in early-stage startups for a while, so I’m comfortable with chaos, fast decisions, and wearing too many hats. I enjoy the zero-to-one phase, figuring things out as I go, and turning rough ideas into products people can use. I’m interested in applied AI, healthcare, consumer-friendly UX for serious problems, and honest conversations about startup life. Always happy to talk about building with LLMs, being a founding engineer, YC, fundraising, or what it’s really like to build a company from the inside.

Ravish Shah is a management analyst at AIHT Education, where he focuses on analyzing operational performance, education program effectiveness, and workforce trends in the U.S. healthcare training sector. His work centers on data-driven insights that support informed decision-making, program optimization, and student success.

I’m a lifesciences compliance strategist with a passion for building real-world, right-sized programs in fast-moving environments. With deep experience in pharma and medtech, I specialize in translating regulatory complexity into practical, actionable frameworks. I’ve spent 7+ years navigating the gray areas of compliance—from training physicians on industry expectations to building startup programs from the ground up. I believe compliance should be ethical, functional, and human-centered—and that culture is built through clarity, storytelling, and respect, not fear. Outside of policy and audits, I speak regularly on startup compliance and love turning “boring” topics into memorable moments. I'm here to connect, create, and contribute.

Vivek Mehta is a healthcare transformation leader and AI-for-impact entrepreneur known for turning human-centered technology into measurable outcomes. As the Founder & CEO of Weeve AI and Co-Founder of PeopleTransformation.ai, Vivek is pioneering a new standard for organizational culture change—one driven by empathetic AI and real-time behavioral insight. At Weeve, he leads the development of the world’s first “Empathetic AI” platform, helping hospitals reduce turnover by over 50%, accelerate issue-to-action cycles from 18 months to 30 days, and restore engagement with 92% frontline participation. His work is redefining how healthcare systems approach retention and leadership—moving from reactive measurement to proactive transformation. Previously a high-impact consultant at Deloitte Digital and dubbed “Head of Special Ops,” Vivek helped steer politically sensitive and technically complex programs under the Affordable Care Act, serving over one million users. These early experiences sharpened his belief that transformation isn’t about tools—it’s about trust, timing, and systems that serve people first. From AI-driven leadership enablement to culture repair in high-friction environments, Vivek brings a rare mix of technical fluency, behavioral insight, and executional rigor. He’s been recognized by MassChallenge and the U.S. Air Force SBIR for innovation, and his work supports 50,000+ healthcare workers and 5M+ patients. Vivek’s path hasn’t exactly been conventional—he was one of the first Twitch streamers, a DJ for a hip-hop collective, and holds a 3rd degree black belt in Taekwondo, with 15 years of experience as a martial arts instructor. Now based in Austin, he’s an avid rock climber and proud cat dad to a chaotic cat crew including an orange tabby named Tot, who firmly believes every Zoom call is his stage.

AIGuts is your go-to platform for exploring the transformative power of AI. Discover insightful articles, trends, and practical applications of AI, empowering ethical and responsible use for innovation, growth, and a better future.

Experience: 20+ years in the healthcare domain. Areas of expertise: EHR and EMR implementation, telemedicine and remote patient monitoring, healthcare analytics and AI, medical software integrations and interoperability, HIPAA/GDPR compliance, FDA submission. Achievements: 100 Women in Health IT to Know in 2025 by Becker’s Hospital Review. Publications: AI Against Cancer: Capabilities and Limitations for Early Detection and Treatment Planning on HIT Consultant.

Richard Gardner is the Founder and CEO of Modulus, a pioneering health technology company redefining the standard of care through High-Performance Computing (HPC) and Generative Artificial Intelligence. Bridging the divide between deep tech and clinical practice, Richard created Modulus to solve a critical failure in modern healthcare: the inability to synthesize vast amounts of patient data into actionable treatment. Under his leadership, Modulus operates as a hybrid concierge medical practice where patented Large Language Model (LLM) technology analyzes healthcare data including labs, radiology, genomics, biomarkers, and longitudinal data to uncover insights standard exams miss. To ensure absolute clinical safety, the system utilizes proprietary anti-hallucination protocols, with every insight rigorously validated by board certified physicians who retain full responsibility for patient care. Richard’s vision positions Modulus as the ultimate medical partner, combining the precision of HPC+AI with the oversight of expert doctors to optimize health, wellness, and longevity.

17 year old high school junior focused on AI safety, cybersecurity, and digital trust, with research centered on detecting geospatial deepfakes and other manipulated media. Presented research at MIT at the IEEE Undergraduate Research Technology Conference and showcased work at the Esri International User Conference. Founder of DeepTrust.us and builder of FakeCheck, a multimodal deepfake detector that helps organizations verify suspicious audio, video, and images quickly, then document decisions with clear Authentic or Manipulated verdicts and audit ready logs. Author of Tech Demystified: Cybersecurity: Core Principles of Modern Cyber Defense, written to make core security concepts practical and accessible for non specialists and students.

I help organizations stop treating AI like a science project and start using it to run real work. Currently the senior director of AI strategy at ABBYY, a global leader in Document AI and digital transformation solutions. With over 10 years of experience in the AI field, I lead the creation and execution of the go-to-market strategy for ABBYY's cutting-edge AI technology, delivering value to customers and stakeholders across various industries and domains. My core competencies include product vision and strategy, technology evangelism, customer innovation, and digital transformation. I am passionate about building and launching innovative products that solve real-world problems, leveraging AI capabilities and technology ecosystem. I also enjoy evangelizing technology offerings and sharing my insights and expertise as a thought leader in the AI space. My mission is to help customers and partners achieve their digital transformation goals and unlock new opportunities with AI.

Founder & CEO of Genbounty - AI safety & compliance testing. Genbounty is a an AI safety testing hub and provider of EU AI Act compliance and certification. About me AppSec SME, AI Engineer, Developer | BSc, MBA, PRINCE2, CompTIA+, CISSP

Arvita Tripati is a product and digital transformation executive recognized for leading regulated AI and healthcare technologies from concept to clinical and commercial scale. She has spent nearly two decades building and shipping complex products across medtech, diagnostics, digital health, and enterprise AI—delivering more than 30 regulated launches, including FDA-cleared cardiology algorithms, point-of-care diagnostics, and mission-critical clinical platforms used across global health systems. Her work focuses on the places where innovation and regulation meet. Arvita is one of the few leaders who has run product, compliance, data governance, cybersecurity, and regulatory programs end-to-end. She has helped organizations like AliveCor, Vineti, Clip Health, Accuray, Labcorp, and Korio navigate FDA pathways, clinical validation, enterprise readiness, and trust-driven go-to-market motions. She is known for helping teams accelerate time-to-market, mature product organizations, escape pilot purgatory, and establish the operational and safety foundations required for responsible AI. Arvita now leads Vahana Labs, where she advises founders and executives building AI-enabled healthcare products. Her emphasis is on practical execution: building trust infrastructure, aligning technical and clinical stakeholders, designing governance models that scale, and translating complex regulatory and data-integrity requirements into product strategy. She is frequently tapped for commentary on regulated AI, digital transformation, health data governance, enterprise buyer expectations, and the future of compliance in an AI-driven healthcare ecosystem. Her perspective blends technical depth, domain expertise, and firsthand experience inside FDA environments, making her a sought-after voice for stories examining how AI becomes safe, credible, and commercially viable in the real world.

I am Brian Tham, an Applied Artificial Intelligence undergraduate at Singapore Institute of Technology with a strong academic record and practical experience in AI research and development. My work focuses on advancing AI applications, particularly in the areas of model protection, computer vision, and machine learning. You may view my portfolio/website at https://tham.ai As a Research Student at Singapore Institute of Technology, I've contributed to significant work on AI model protection, specifically focusing on defending deep neural networks against model extraction attacks. My research encompasses model watermarking, adversarial robustness, and advanced defense mechanisms, with practical applications in medical imaging through UNet model implementation for brain MRI segmentation. My technical portfolio includes notable projects such as FoodVision, a real-time deep learning food detection system utilizing YOLOv8 technology, and a Speech Emotion Recognition system based on Wav2Vec2. I've also conducted comprehensive analyses of emerging technologies, including a detailed study of ransomware impacts across various industries and an evaluation of AI chatbot capabilities. Previously, I enhanced medical education at Lee Kong Chian School of Medicine, where my e-learning courseware development contributed to a 20% improvement in student test scores. My professional experience extends to the Ministry of Defence of Singapore, where I specialized in data processing automation and visualization using PowerBI and Excel. I hold multiple prestigious certifications, including Google Professional Machine Learning Engineer, Google Business Intelligence, and AI4I® – Proficiency in AI from AI Singapore. My technical expertise spans Python, machine learning frameworks (TensorFlow, PyTorch), and data analysis tools, complemented by a deep understanding of quantum computing, large language models, and autonomous vehicle technologies. This combination of academic excellence, practical research experience, and technical expertise positions me at the forefront of AI innovation and its real-world applications.