- Business
- Learn how AI is being integrated into healthcare to improve efficiency, diagnostics, and patient outcomes.
- Everyday users
- Understand how AI can enhance medical care, expand access, and allow doctors more time with patients.
This episode features a key executive from a major health technology company discussing practical AI applications and challenges in healthcare.
AI for Interoperability in Health Care: Philips’s Carla Goulart Peron
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From Subvolts
Summary and analysis by Subvolts editorial, AI-assisted.
In this "Me, Myself, and AI" podcast episode, Philips Chief Medical Officer Carla Goulart Peron discusses how AI can improve healthcare. She explains AI's role in expanding access, enhancing diagnostics, and allowing clinicians more patient time. Peron also addresses challenges like trust, bias, interoperability, and women's health data, offering a global view on making healthcare more human through technology.
This episode explains how AI helps doctors in healthcare. It can find problems in medical images faster and connect doctors remotely. This means doctors have more time to spend with patients and can help more people, especially where healthcare is limited.
This episode offers a practical look at AI's impact on healthcare, moving beyond hype to real-world applications. Dr. Peron's insights are valuable for clinicians, health tech professionals, and policymakers interested in AI's potential to address systemic issues like access and efficiency. It connects to current AI discussions by highlighting the need for ethical considerations and interoperability, crucial for widespread AI adoption in sensitive sectors like medicine, mirroring the focus on responsible AI from major labs.
- HostSam Ransbotham
- HostShervin Khodabandeh
- GuestCarla Goulart PeronChief Medical Officer, Philips
- Guest: Carla Goulart Peron, Chief Medical Officer at Philips
- Show: Me, Myself, and AI
- Length: 34 minutes
- Guest's Previous Role: VP and Chief Medical Officer for Surgical Innovations and Robotics at Medtronic
On today's episode, Philips’s chief medical officer Carla Goulart Peron shares how artificial intelligence is reshaping health care — not by replacing clinicians but by expanding access, improving diagnostics, and freeing doctors to focus more time on patients. Drawing on her experience practicing medicine in Brazil’s strained public health system, she explains how technologies like AI-assisted imaging and remote collaboration can bridge critical gaps in care. Carla also explores the challenges of trust, bias, interoperability, and women’s health data in the next era of AI-enabled medicine. She offers a grounded, global perspective on how technology can make health care more human. Read the episode transcript here.
Guest bio:
Dr. Carla Goulart Peron is chief medical officer at Philips. A physician by training, she leads the global team shaping the health technology company’s medical strategy for achieving scientific excellence across medical affairs, clinical research, medical safety, and health economics. Before joining Philips, she was vice president and chief medical officer for surgical innovations and robotics at Medtronic.
Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder.
We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
ME, MYSELF, AND AI® is a federally registered trademark of Massachusetts Institute of Technology. All rights reserved.
- Interoperability
- Carla Goulart Peron
- The ability of different computer systems and software applications to communicate, exchange data, and use the information that has been exchanged.
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Questions people ask
- How does AI help doctors focus more on patients?
- AI can assist with tasks like imaging analysis and remote collaboration, freeing up clinicians' time to dedicate to direct patient care.
- What are the challenges of AI in medicine?
- Challenges include building trust, addressing bias in AI systems, ensuring interoperability between different technologies, and handling women's health data.
Page generated Oct 19, 2026. Summaries are Subvolts' own; the audio, artwork and notes belong to MIT Sloan Management Review.

