“Empowering Clinicians and Patients with Personalized AI Co-pilots”
Featuring: Kingsley Ndoh, MD, MPH
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Kingsley Ndoh, MD, MPH
“Empowering Clinicians and Patients with Personalized AI Co-pilots” (Kingsley Ndoh, MD, MPH) [#146] Brad Power June 4, 2025 “If you think about the patient’s cancer journey, there are a lot of things that patients have to deal with, from the diagnosis down to treatment planning, insurance scheduling, navigation, survivorship, and side effect management.
It is a lot, and it's so difficult for patients to wade through this while dealing with such a heavy diagnosis that they will have to navigate for the time being.
This is where AI technologies like ours and others are really important, especially in this day and age for patients to have a better experience, better adherence to treatment, and just manage all the things that come with cancer treatment.” – Kingsley Ndoh, MD, MPH “Whenever something comes up, you want to call a friend. That might be a doctor. You want to go to Google.
You probably want to go to ChatGPT. The problem with that is that a lot of those things are missing the full context of you.” – Kingsley Ndoh, MD, MPH “It takes about three to six years for any new update to the guidelines and new research to be implemented at the bedside in a community center, versus three months in an academic cancer center.
” – Kingsley Ndoh, MD, MPH “Only 32% of the time community cancer centers would interpret all the necessary markers for that patient that could be incorporated in patient care.” – Kingsley Ndoh, MD, MPH Meeting Summary Doctors, patients, and caregivers often don't know about the latest cancer tests or treatments. As a result, patients can get worse outcomes than they should.
They don't know how to navigate the complex decisions they need to make with the latest information. 80% of patients are treated in community hospitals, where the doctors don't have easy access to the specialized and latest information for treating the wide range of cancers they see. Kingsley I.
Ndoh, MD, MPH, is uniquely qualified to lead a discussion on the use of AI in guiding community oncologists and cancer patients and caregivers in their testing and treatment decisions. He is an entrepreneur at the intersection of oncology, artificial intelligence, and global health equity.
As Founder and CEO of Hurone AI, he leads the development of revolutionary AI- driven technologies that are transforming cancer care delivery across both developed and emerging markets. A recognized healthcare policy influencer, Kingsley has shaped the future of AI in medicine through his contributions to the U.S.
President’s Cancer Panel, directly impacting critical outcomes including CMS reimbursement pathways for cancer navigation technologies. His unique vision combines cutting-edge technical innovation with deep understanding of healthcare delivery challenges in diverse global settings.
ation technologies. His unique vision combines cutting-edge technical innovation with deep understanding of healthcare delivery challenges in diverse global settings.
Under Kingsley’s leadership, Hurone AI has established strategic partnerships with world-leading institutions including the UCSF Brain Tumor Center, Johns Hopkins Sidney Kimmel Cancer Center, and the National Cancer Institute of Kenya. These collaborations demonstrate his exceptional ability to bridge academic excellence with commercial execution.
“Empowering Clinicians and Patients with Personalized AI Co-pilots” (Kingsley Ndoh, MD, MPH) [#146] Washington Global Health Alliance Rising Star award and recognition in leading publications including Forbes, World Economic Forum, Fortune Magazine, and Axios.
He has assembled an elite team and advisory board from organizations including Microsoft, MIT, Fred Hutch, City of Hope, and Daiichi Sankyo, with proven experience scaling startups to successful exits. How can an AI co-pilot help guide your cancer care?
●Get clear, simplified explanations of your diagnosis and treatment plan ●Prepare specific questions to ask your doctor before appointments ●Track and summarize your medical information in a concise format ●Identify potential clinical trials or new treatment options relevant to your specific cancer ●Ensure you understand medical terminology and side effects ●Empower you with knowledge about the latest research and guidelines that your local oncologist might not be aware of What are the challenges in accessing the latest cancer tests and treatments for community oncologists and patients at community cancer centers?
●Oncologist shortage : There's a global shortage of oncologists, especially in underrepresented communities. ●Slow guideline updates : It takes 3-6 years for new research and treatment guidelines to be implemented in community cancer centers, compared to just three months in academic cancer centers.
●Information overload : Oncologists (and patients and caregivers) struggle to keep up with hundreds of new research results published monthly. ●Limited time: Community cancer centers see about three times more patients per oncologist compared to academic centers, making it difficult to stay current with the latest treatments.
●Diagnostic gaps: Community centers often miss identifying all necessary genetic markers or potential treatment targets, with only 32% of markers typically interpreted for patient care. ●Lack of precision : Community centers may not always provide the most effective treatment protocols due to limited resources and knowledge gaps.
How can AI co-pilots overcome these barriers to accessing the latest cancer tests and treatments?
d knowledge gaps. How can AI co-pilots overcome these barriers to accessing the latest cancer tests and treatments? ●Ensure you receive standard of care treatments and get early information about new tests and treatments you may want to consider before they are incorporated in your cancer center ●Bridge the knowledge gap between community centers and academic cancer centers, e.g.
“Empowering Clinicians and Patients with Personalized AI Co-pilots” (Kingsley Ndoh, MD, MPH) [#146] ●Offer real-time insights and recommendations based on the most recent clinical research and trial data ●Improve the patient experience and personalization, e.g.
, customize language complexity, gender of the AI agent, incorporate social determinants of health data How can you learn more about using AI to guide your cancer care? ●Conduct your own research to find emerging AI tools for navigating your care; participate in patient groups and webinars focused on AI in cancer care; then try an AI tool to answer some of your questions, e.g.
, your testing and treatment options, side effects, your care journey, questions you should ask your doctor ●Contact Kingsley Ndoh at kingsley@hurone.ai.
●See previous conversations at the Cancer Patient Lab on using AI for cancer patient navigation: ○"Using ChatGPT to Learn and Guide Individualized Complementary Cancer Therapies" (Robb Owen) [#125] ○“Empowering Cancer Patients: Navigating the Complexities of Diagnosis and Care” (Ari Akerstein and Brad Power) [#130] ○“Using GenAI to Assist Rare Cancer Care” (Bill Paseman) [#132] ○“Navigating Relational Health Through the Challenges of Cancer” (Jason Binder) [#127] ○“How AI Is Shifting the Dynamics of Your Next Doctor Visit” (Ezra Cohen, MD) [#121] ○"Functional Drug Testing and AI/ML for Treatment Decisions" (Noah Berlow and Diana Azzam) [#18] The information and opinions expressed on this website or platform, or during discussions and presentations (both verbal and written) are not intended as health care recommendations or medical advice by Cancer Patient Lab, its principals, presenters, participants, or representatives for any medical treatment, product, or course of action.
You should always consult a doctor about your specific situation before pursuing any health care program, treatment, product or other course of action that might affect your health. For the video recording of this conversation, please see here. For a transcript, please see here. For the slides, please see here.
“Empowering Clinicians and Patients with Personalized AI Co-pilots” (Kingsley Ndoh, MD, MPH) [#146] Meeting Notes KEYWORDS
e of action that might affect your health. For the video recording of this conversation, please see here. For a transcript, please see here. For the slides, please see here.
“Empowering Clinicians and Patients with Personalized AI Co-pilots” (Kingsley Ndoh, MD, MPH) [#146] Meeting Notes KEYWORDS AI chat bots, cancer patient navigation, precision cancer care, community cancer centers, oncologist workforce shortage, AI co-pilots, patient treatment options, comorbidities, clinical decision support, patient data, genomic testing, patient retention, clinical trial data, wearable integration, patient advocacy.
SPEAKERS Kingsley Ndoh (72%), Brad Power (7%), Matthew DeAngleis (7%), Hurona Chatbot (5%), Russ Hollyer (3%), Jane Wilkinson (2%), Burt Rosen (2%), Raj (1%), Rick Davis (1%) CHAT CONTRIBUTORS Rick Davis, Russ Hollyer, David Plunkett, Raj, Jane Wilkinson, Alexander Lalov, Burt Rosern SUMMARY Kingsley Ndoh of Hurone AI discussed their AI-driven platform designed to enhance precision cancer care navigation.
The platform, currently being validated at UCSF, personalizes treatment options for oncologists based on patient diagnostics and comorbidities. It aims to bridge the gap between community and academic cancer centers by providing up-to-date guidelines and improving patient navigation. The system is HIPAA compliant and interfaces with EHRs like Epic.
Future plans include incorporating genomic data and clinical trial information. The platform is intended to empower patients as their own advocates while also benefiting community oncology centers by reducing litigation risks and improving patient retention and revenue. OUTLINE Introductions ●Hurone AI is a startup addressing gaps in precision cancer care using AI co-pilots.
●There is a global oncologist workforce shortage, particularly in underrepresented communities and community cancer centers. ●Amy, a cancer patient, received less effective treatment at a community cancer center compared to the Mayo Clinic. ●The challenges faced by community cancer centers include high patient loads, outdated guidelines, and the importance of 24/7 navigation for patients.
Hurone AI's Clinician Platform and Patient Support ●Hurone AI's clinician platform makes guidelines personalized and available to oncologists based on diagnostic workups. ●The platform considers patient comorbidities and produces treatment options with pros and cons, aiding in joint decision-making.
“Empowering Clinicians and Patients with Personalized AI Co-pilots” (Kingsley Ndoh, MD, MPH) [#146] ●The platform also serves as a thought partner for oncologists, consulting with other specialists based on patient comorbidities. ●AI can help manage the complexities of cancer treatment, including diagnosis, treatment planning, insurance scheduling, survivorship, and side effect management.
The Future of AI in Cancer Care ●There is a symbiotic relationship between data, AI, and humans in the future of cancer care.
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