Beyond the Chart: Exploring the AI Frontier for Oncology

Everyone agrees that AI will transform how we discover new cancer treatments. The big question though, is what will it take to get there?As access to new forms of data expands, the potential for breakthroughs grows with it. However, many of those breakthroughs risk never making it beyond the idea stage.This is part two of our conversation with Dr. Alicia Zhou, CEO at Cancer Research Institute. We focus on the role that data and AI has on patient outcomes, how the toolkit of a bench scientist is evolving, and whether fully automated discovery is on the horizon.We also address the adoption challenge - the gap between a promising innovation and the product that researchers and clinicians actually end up using.If you’re thinking about where AI is headed in cancer care and where the gaps lie in adoption, this is for you.Covered in this episode:How AI is reshaping the future of scientific discovery.What the next generation of tools for researchers may look like.The potential of new data sources, including ambient clinical data.What it takes to build tools that people actually use.Bridging the gap between innovation and real-world adoption.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDeepScribe - https://www.deepscribe.ai/CONNECTDr. Alicia Zhou on LinkedIn - https://www.linkedin.com/in/alicia-zhou-phd-03950610Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

What does it really take to build something new in healthcare?In this episode, I’m joined by Dr. Alicia Zhou, CEO at Cancer Research Institute. Alicia began her career as a bench scientist before moving into industry, where she spent nearly a decade as Chief Science Officer at Color, helping scale one of the Bay Area’s leading genomics companies.This is part one of our conversation, where we focus on the intersection of biology and technology. Alicia shares what she was able to bring from the startup world into scientific research and how speed and flexibility can be leveraged to create real impact.We also discuss the shift from hypothesis-driven to data-driven biology, and why even the most promising scientific innovation doesn’t automatically translate into a viable product.If you’re building within healthcare, this conversation offers a rare look at what it really takes.Covered in this episode:The intersection of science and technology.How startup thinking applies to healthcare.A startup’s only real advantage.The hidden skill to look for when building a team (beyond competency).How the CRI Discovery Engine is changing how cancer immunotherapies are developed.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDeepScribe - https://www.deepscribe.ai/CONNECTDr. Alicia Zhou on LinkedIn - https://www.linkedin.com/in/alicia-zhou-phd-03950610Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

In oncology, much of the work happens outside the exam room.In part two of our conversation with Dr. Aparna Parikh, practicing colorectal oncologist, Program Director of GI medical oncology, and Associate Professor at Harvard Medical School, we step into the reality of what it takes to manage a complex cancer case.We talk about the preparation behind each patient visit, the coordination required across surgeons and tumor boards, and the constant effort to make sure patients don’t fall through the cracks as information moves between teams.We also explore when clinicians might begin to trust AI tools with greater autonomy, and continue to consider whether new technologies could unintentionally widen the gap between well-resourced patients and everyone else.Listen now to hear what it really takes to keep complex cancer care coordinated behind the scenes.Covered in this episode:What real workflows look like for complex cancer cases.The challenges that competitive enrollment brings and potential solutions.How data can help close the gaps in cancer care.To what standard should we hold AI to?How technology could help existing inequities in care.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDeepScribe - https://www.deepscribe.ai/CONNECTDr. Aparna Parikh on LinkedIn - https://www.linkedin.com/in/aparna-parikh-9197a433Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

We often talk about the workflow gaps inside oncology. But there’s an even larger gap that happens before any workflow can even begin.What if the patient never makes it to the oncologist in the first place?In this episode, I’m joined by Dr. Aparna Parikh, practicing colorectal oncologist, Program Director of GI medical oncology, and Associate Professor at Harvard Medical School.Much of Dr. Parikh’s work focuses on the patients who need the most support from healthcare systems and technology, such as those who live far from screening centers, struggle with digital portals, or lack access to basic infrastructure.In this part one of our conversation, we discuss the barriers that prevent patients from reaching care at all, and where technology can and can’t help close those gaps. We also discuss how inequities extend into clinical trials, and which patients the current system favors.Listen in to hear where the real barriers to cancer care exist and what it will take to close the gap.Covered in this episode:The gap that prevents many patients from accessing cancer care.How inequitable access extends to clinical trials.What needs to be in place before AI can truly help patients.Lessons from cancer prevention efforts in rural communities.What clinicians actually want from technology.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDeepScribe - https://www.deepscribe.ai/CONNECTDr. Aparna Parikh on LinkedIn - https://www.linkedin.com/in/aparna-parikh-9197a433Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

No two cancer patients follow the same path. And with modern lung cancer care being more complex than ever, the cognitive load required to reconstruct and manage each patient’s story is enormousIn this episode, I’m joined by Dr. Nagashree Seetharamu, oncologist at Northwell Health and Associate Professor at the Zucker School of Medicine. Together, we explore where modern cancer care most often breaks down and what we can do to make it more resilient.Dr. Seetharamu shares where the vast effort that clinicians make shows up in daily practice, where time sacrifices are made, and where important details risk slipping through the cracks.We also examine what clinicians actually want from AI tools that don't replace, but enhance. This conversation reframes innovation within lung cancer care as something more practical, so that outcomes can continue to improve.Covered in this episode:The biggest shifts redefining the standard of care in lung cancer.Why no two lung cancer patients ever follow the same path.What patients and clinicians often misunderstand about modern treatment.Where cognitive overload shows up most in oncology.How AI tools can help minimize blockers of better care.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDr. Nagashree Seetharamu - https://www.northwell.edu/find-care/find-a-doctor/dr-nagashree-seetharamu-md-mbbs-1124198833DeepScribe - https://www.deepscribe.ai/CONNECTMatthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

If you think the hardest problems in cancer care are purely biological, you might change your mind after listening to this conversation.In this episode, I’m joined by Dr. Sanjay Juneja, a practicing oncologist, Vice President of Clinical AI & Informatics at Tempus, and one of the most widely followed cancer educators on social media.Dr. Juneja has built an audience of nearly one million people by translating oncology for the real world, and by asking uncomfortable but necessary questions about how care is delivered today.We explore what drives physicians to educate outside traditional channels, and what that says about the gaps in the system. We also look at how AI may change who gets access to knowledge, how people engage with information, and how AI tools can support decision-making without replacing clinical judgment.This is a grounded conversation about what real progress towards fixing the challenges in modern cancer care looks like.Covered in this episode:Why physicians turn to public education outside traditional channels.How Dr. Sanjay Juneja built an audience of nearly a million people within the oncology space.How AI could reshape access to medical knowledge.What’s holding clinicians back from AI adoption.How we can begin to fix a strained healthcare system.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MORESanjay Juneja - https://sjunejamd.com/DeepScribe - https://www.deepscribe.ai/CONNECTSanjay Juneja on LinkedIn - https://www.linkedin.com/in/sanjayjunejamd/Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

When someone is diagnosed with cancer, care quickly begins to revolve around protocols, diagnostic pathways, treatment regimens, surveillance schedules, and clinical decisions made under enormous uncertainty. But what often gets overlooked is the life happening all around it.The fear. The relationships. The work. The identity shift. And what it actually means to live with and beyond cancer.In this episode, we’re joined by Dr. Lidia Schapira, Professor of Medicine at Stanford University and the inaugural Director of Stanford’s Cancer Survivorship Program.Dr. Schapira has spent her career focused on the lived experience of patients, shaping how oncology communicates through her leadership as Editor-in-Chief of Cancer.Net, ASCO’s patient education platform, and as editor of the Art of Oncology section in the Journal of Clinical Oncology for over a decade.We explore why survivorship care remains so difficult to embed into standard oncology workflows and the biggest ‘gap’ that remains in cancer survivorship in the U.S. We also dive deep into AI in medicine, and how we can expect it to affect and support survivorship care going forward.This is a powerful conversation about communication, judgment and presence, that anyone in oncology should hear.Covered in this episode:Why survivorship care is often overlooked in oncology.The importance of the patient’s lived experience after cancer.How AI could support survivorship care.Will AI become a mandatory standard for physicians?The ‘big gap’ in cancer survivorship care in the U.S.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDeepScribe - https://www.deepscribe.ai/ CONNECTDr. Lidia Schapira on LinkedIn - https://www.linkedin.com/in/lidia-schapira-83467811/ Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

What if rethinking the payment model in oncology is actually the fastest way to improve patient outcomes?In this episode, I’m joined by Dr. Lalan Wilfong, a practicing oncologist and Senior Vice President of Value Based Care at Thyme Care. Lalan has spent years leading value-based initiatives at Texas Oncology and the US Oncology Network, and now works at the intersection of payers, providers, and patients to support care beyond the clinic.We break down why fee-for-service models fall short in cancer care and why aligning payment with outcomes, not volume, is essential for building a more patient-centered system.Lalan explains how value-based care works in practice, where it delivers the most impact, and what it takes to make it a reality.We also explore where AI fits into oncology today and the key blockers that are holding adoption back. Lalan shares a unique and honest perspective as a late adopter of AI technology, offering practical insight into what the tech needs to get right if it’s going to stick.Covered in this episode:What value-based care really means in oncology.Why fee-for-service struggles in cancer care.The biggest challenges in transitioning to value-based oncology.Where AI adds real value in oncology today and where it creates friction.How AI can support oncologists and improve patient outcomes.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDeepScribe - https://www.deepscribe.ai/ CONNECTDr. Lalan Wilfong on LinkedIn - https://www.linkedin.com/in/lalanwilfongmd/ Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

Change in cancer care begins when we choose to see things differently. And few people see it more clearly than Dr. Douglas Flora.Dr. Flora is a practicing oncologist, cancer survivor, Executive Medical Director at Yung Family Cancer Center, Editor in Chief of AI in Precision Oncology, President-Elect of the Association of Cancer Care Centers, and author of Rebooting Cancer Care. His lived experience gives him a rare, 360-degree view of the pressures facing oncology today.In this episode, Dr. Flora breaks down where AI is already proving real clinical value, and we also explore the frontier of how AI is opening the door to a new standard of care.We get into the real bottlenecks oncologists are facing today, and what successful deployment of new solutions looks like. Dr. Flora provides a detailed and honest look into the challenges, and what the future holds for cancer care.Covered in this episode:Where AI is already adding reliable value in oncology.How AI is set to change oncology in 2026 and beyond.The real adoption barriers in terms of culture, trust, workflow, and evidence.What AI developers need to understand about oncology……and what oncologists need to understand about AI.If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDr. Douglas Flora - https://dougflora.com/ DeepScribe - https://www.deepscribe.ai/ CONNECTDr. Douglas Flora on LinkedIn - https://www.linkedin.com/in/douglasflora Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

If we were to imagine a “road to Nirvana” in oncology, what would it look like, and what will it take to build it?In this episode, we’re joined by Dr. Debra Patt, breast oncologist and Executive Vice President at Texas Oncology. She’s also president of the Community Oncology Alliance and serves on the ASCO Board of Directors, where she chairs the AI task force.There are few people in the world that get to see the full picture - the intersection of policy, technology, and care delivery - like she does.In this conversation, Dr. Debra maps out what true progress in oncology will require. From how Texas Oncology scaled one of the largest AI implementations in cancer care, to how digital tools are helping clinicians be more present with patients, this episode explores the future of oncology from the clinic and beyond.Covered in this episode:What “Nirvana” really means in cancer care.How to successfully implement AI at scale.Why digital tools can make doctors more human, not less.How to communicate technological advancements to patients.And more…If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one.LEARN MOREDeepScribe - https://www.deepscribe.ai/ CONNECTDebra Patt on LinkedIn - https://www.linkedin.com/in/debrapattmd/ Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/ LISTENSpotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adfApple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207YouTube - https://www.youtube.com/@deepscribeinc.5623

When most people think about physician burnout, long clinic days and death by a thousand clicks comes to mind. But what if the real source of burnout is, in fact, losing time with patients? In this episode, we’re joined by Dr. Diane Reidy-Lagunes, Chief of Medical Oncology and Associate Vice President of Oncology Services at Duke University Health System.  We explore what burnout really means for physicians and how technology can actually serve as a retention tool. We also dive into how AI is helping restore compassion at the bedside, something Dr. Reidy is extremely passionate about. This conversation goes beyond the surface of burnout to uncover the human-centered innovations that can help clinicians stay present and fulfilled. Covered in this episode: How traditional technology workflows contribute to burnout and how AI can help. The role of AI in physician retention. Making clinical notes more human and understandable for patients. How leaders can build trust in AI tools across their organizations. And more… If you got value from this episode of Beyond the Chart, subscribe on your favourite podcast platform so you don’t miss the next one. LEARN MORE DeepScribe - https://www.deepscribe.ai/  CONNECT Dr. Diane Reidy-Lagunes on LinkedIn - https://www.linkedin.com/in/diane-reidy-lagunes-18436486/  Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/  LISTEN Spotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf Apple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207 YouTube - https://www.youtube.com/@deepscribeinc.5623

We often hear clinicians talking about how AI is helping them deliver better care, but not enough people are asking how. In this episode, we’re joined by someone who understands both sides - Dr. Ravi  Parikh, medical oncologist and Director of the Human-Algorithm Collaboration Lab (HACLab) at Emory University and Winship Cancer Institute. We unpack what responsible AI adoption really looks like inside oncology practices - from evaluating tools and measuring outcomes to defining the standard of trust we should hold both clinicians and the tools they use to. If you’re a healthcare innovator or clinician, considering how you could responsibly bring AI into your practice, this is essential listening. Covered in this episode: What responsible AI governance should look like inside healthcare. Understanding the capabilities of AI tools in healthcare. The potential dangers of AI inaccuracies and how to avoid them. What really matters when choosing an AI solution as an oncologist? How structured data can help patients receive better, more attentive care. And more… If you got value from this episode of Beyond the Chart, subscribe on your favorite podcast platform so you don’t miss the next one. LEARN MORE DeepScribe - https://www.deepscribe.ai/  CONNECT Ravi B. Parikh on LinkedIn - https://www.linkedin.com/in/ravibparikh/  Matthew Ko on LinkedIn - https://www.linkedin.com/in/komatthew/  LISTEN Spotify - https://open.spotify.com/show/6IQlU4UeNKLLM4Y1lPTaOV?si=33679e9eb2294adf Apple Podcasts - https://podcasts.apple.com/us/podcast/beyond-the-chart-exploring-the-ai-frontier-for-oncology/id1832485207 YouTube - https://www.youtube.com/@deepscribeinc.5623

Technology can actually make oncology care feel more human by restoring trust and presence between doctors and patients.In this episode, Kathy Oubre, CEO of Pontchartrain Cancer Center, shares how community oncology faces unique challenges compared to academic centers, including competition with 340B hospitals and the need for resilience and innovation. She highlights how adopting ambient AI enhanced patient care by deepening relationships and restoring trust eroded by EMRs, while also being quickly embraced by patients through transparency and clear communication. Kathy discusses both the promise of AI in areas like precision medicine, imaging, and prior authorizations, and the risks around data safety and over-reliance on automation. She closes by reframing oncology as a privilege, centered on compassion and presence during life’s most difficult moments.Tune in and learn how AI, when thoughtfully applied, can innovate cancer care while preserving its most human coreResources:Follow and connect with Kathy Oubre on LinkedIn.Follow Pontchartrain Cancer Center on LinkedIn and explore their website.

What if ambient AI could do more than just take notes?In this episode, Dr. Sean Khozin, CEO of the CEO Roundtable on Cancer (CEORT) and its data arm Project Data Sphere (PDS), explains why rebuilding trust after the EHR era is key to adoption, how ambient AI can move beyond documentation to enhance physician intuition, and why it’s time to rethink outdated “gold standards” like RECIST. He also discusses the role of smart policy in making biomedical data more liquid, the importance of messy real-world signals in care, and how automation could enable a rebirth of smaller, community-centered practices.Tune in to learn how AI can transform the doctor–patient relationship and accelerate better decision-making in care today!Resources:Connect with Dr. Sean Khozin on LinkedIn and visit his website.Follow the CEO Roundtable on Cancer on LinkedIn and explore their website. Learn about the Project Data Sphere here.

What if your voice could become the next frontier in cancer care?In this first part of the 2-part episode, Dr. Sean Khozin, CEO of the CEO Roundtable on Cancer (CEORT) and its data arm Project Data Sphere (PDS), shares how ambient AI can restore the doctor–patient bond lost to electronic health records, why voice is a powerful digital biomarker for pain, mood, and neurological changes, and how PDS is pioneering data-sharing collaborations to accelerate oncology research. He explains how open and pre-competitive platforms are enabling breakthroughs in tumor assessment, drug development, and clinical endpoints, while also reducing physician burnout and improving patient outcomes.Tune in to learn how AI and digital biomarkers are reshaping the future of cancer care!Resources:Connect with Dr. Sean Khozin on LinkedIn and visit his website.Follow the CEO Roundtable on Cancer on LinkedIn and explore their website.Learn about the Project Data Sphere here.

The biggest breakthroughs in AI and oncology aren't just about speed, they're about bridging the gap between academic innovation and real-world care.In this episode, Dr. Stephen Speicher, Head of Clinical Oncology and Patient Safety at Flatiron Health, shares his journey from clinical practice to health tech leadership, driven by a mission to humanize care through technology. He explores how specialty-specific EHRs can address complex challenges like chemotherapy dosing and drug substitution, while highlighting the rollout of ambient AI tools to ease documentation burdens.Dr. Speicher also emphasizes the urgent need for accessible, embedded solutions in community oncology, which provides over 80% of cancer care, and discusses the real-world impact of safety, innovation, and regulatory tradeoffs. He closes with insights on building trust, bridging gaps between doctors and engineers, and turning academic advances into practical tools for frontline clinicians.Tune in and learn how AI is reducing clicks and rewriting the rules for delivering cancer care in the real world!Resources:Follow and connect with Stephen Speicher on LinkedIn.Learn more about Flatiron Health on LinkedIn and explore their website.

AI can succeed in community oncology by delivering a clear return on investment for physician-owners while also restoring the vital human connection between doctors and patients.In this episode, Larry Bilbrey, Director of Data Insights and Innovations at Tennessee Oncology and Senior Director of Digital Innovation at OneOncology, shares the complex journey of driving AI adoption across a national network of cancer-care providers. He highlights the financial realities faced by private practices, where every technology investment is measured by its ability to generate or save money, often boiling down to the question, "Would you spend a dollar to make two or save two?"Larry examines the difficulty of scaling AI solutions across practices with vastly different sizes, resources, and levels of openness to change, from early adopters to more cautious groups. He illustrates the potential impact of AI with a real-world example of an ambient scribe that won over a skeptical physician by restoring his weekends, underscoring the powerful but often intangible return on investment in physician well-being and freeing the long-trapped potential of unstructured clinical data.Tune in and learn why tech founders must build financially accessible, vertically integrated platforms to truly meet the needs of modern oncology practices!Resources: Follow and connect with Larry Bilbrey on LinkedIn.Learn more about OneOncology on LinkedIn and explore their website.Discover more about Tennessee Oncology on LinkedIn and their website.

The future of cancer care lies in the combination of cutting-edge AI and compassionate, community-based treatment.In the first episode, Dr. Gury Doshi, Medical Director at Texas Oncology and Chair, P&T at US Oncology Network, highlights how technology is transforming cancer care and clinician well-being. She explains that community oncology now delivers over 70% of treatments outside academic centers, making it essential to support innovation in these settings.Dr. Doshi discusses how ambient AI is reducing administrative burdens, helping physicians recover 3.5 hours per week, and enhancing both caregiver engagement and the quality of patient interactions. Looking ahead, she envisions AI playing a pivotal role in accelerating clinical trials, improving patient matching, and enabling more personalized, comprehensive care.Tune in and learn how ambient AI is not just relieving paperwork but quietly revolutionizing how we understand, treat, and live with cancer!Resources:Follow and connect with Dr. Gury Doshi on LinkedIn.Learn more about Texas Oncology on LinkedIn and explore their website.