Douglas Flora, Executive Medical Director of Oncology Services at St. Elizabeth Healthcare and ACCC President-Elect, shared a post on LinkedIn about a paper by Krunal Pandav et al. published in JCO Oncology Practice:
“Kudos to these authors for a fantastic piece in this month’s JCO Oncology Practice!
This article does a stellar job of breaking down how AI is reshaping oncology care – covering everything from predictive hospital admissions to mental health support and operational efficiencies.
A few key highlights:
Predictive AI for hospital admissions
- Machine learning models are being used to anticipate unplanned hospitalizations, allowing for timely interventions that improve patient outcomes.
AI-driven mental health support
- From chatbots to virtual reality therapy, AI is playing a critical role in addressing the psychosocial needs of cancer patients.
Administrative AI
- Streamlining supply chains, appointment scheduling, and resource allocation to optimize hospital workflows.
Personalized patient engagement
- AI-driven tools are empowering patients to take a more active role in their care decisions.
For anyone serious about the intersection of AI and healthcare, this is a must-read. But I do have one small complaint… Why wasn’t this submitted to AI in Precision Oncology?
Anant Madabhushi, I’m expecting your next one there! Looking forward to more cutting-edge insights from this team.”
“Opportunities for Artificial Intelligence in Oncology: From the Lens of Clinicians and Patients”
Authors: Krunal Pandav, Sahar Almahfouz Nasser, Kristen Kimball, Kristin Higgins, Anant Madabhushi.
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