Imaginovation
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10 Real-World Use Cases of Generative AI in Healthcare
Machine learning algorithms can ... For example, an algorithm might examine a tumor's DNA to identify the genetic mutations driving cancer and suggest a precise treatment plan targeting those mutations....
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TeleVox
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9 Generative AI Use Cases in Healthcare: Transforming Care & Engagement | TeleVox
October 2, 2025 - Generative AI use cases are happening right now in medical facilities across the country. It’s freeing up professionals to focus better on their patients. Let’s explore nine ways healthcare organizations are using generative AI to improve patient engagement and operational efficiency.
McKinsey & Company
mckinsey.com › industries › healthcare › our-insights › tackling-healthcares-biggest-burdens-with-generative-ai
Generative AI in healthcare: Emerging use for care | McKinsey
July 10, 2023 - Clinical analytics: leverage conversational language to obtain analytics insights; use AI-assisted coding to automate repetitive tasks or generate new code · Consumer: analyze customer feedback by summarizing and extracting themes from online text/images; create personalized care instructions, videos, visuals, and communications; improve chatbots for member servicing of nonclinical topics; autogenerate notifications and outbound communications · Applying gen AI to healthcare businesses could help transform the industry, but only after leaders take inventory of their own operations, talent, and technological capabilities.
Blackbaud, Inc.
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Top 4 Applications for Generative AI in Healthcare
August 20, 2025 - AI-generated treatment plans enable providers to select the most effective interventions without a trial-and-error approach. Preventive health measures: When paired with other analytics models, AI can predict a patient’s future health needs and responses to various treatments, helping providers identify measures to prevent avoidable health risks. For example, providers can leverage predictive analytics in healthcare to forecast a patient’s risk of heart disease progression and implement lifestyle changes to address the disease before it escalates.
PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC10941464
Generative AI in healthcare: an implementation science informed translational path on application, integration and governance - PMC
Additionally, they could scan medication lists and warn of potential adverse interactions or contraindications. Generative AI can also be used to automate routine tasks in healthcare, such as scheduling appointments, processing claims and managing patient records [47]. For example, AI models ...
Nature
nature.com › npj digital medicine › brief communications › article
Generative AI costs in large healthcare systems, an example in revenue cycle | npj Digital Medicine
September 30, 2025 - Alkhaldi, N. Assessing the cost of implementing AI in healthcare —. ITRex https://itrexgroup.com/blog/assessing-the-costs-of-implementing-ai-in-healthcare/ (2024). Klang, E. et al. A strategy for cost-effective large language model use at health system-scale. NPJ Digit. Med. 7, 320 (2024). ... Simmons, A. et al. Extracting international classification of diseases codes from clinical documentation using large language models. Appl. Clin. Inform. 16, 337–344 (2025). ... Soroush, A. et al. Assessing GPT-3.5 and GPT-4 in generating international classification of diseases billing codes.
U.S. GAO
gao.gov › products › gao-24-107634
Science & Tech Spotlight: Generative AI in Health Care | U.S. GAO
In the health care sector, generative AI models generally train on a large volume of curated health care data, which could include clinical notes, clinical trial data, and medical images.
InterSystems
intersystems.com › resources › generative-ai-in-healthcare-revolutionizing-patient-care-and-diagnosis
Generative AI in Healthcare: Revolutionizing Patient Care and Diagnosis | InterSystems
September 19, 2025 - Many individuals remain skeptical ... machine-generated insights. Artificial intelligence is poised to revolutionize healthcare through predictive modeling and strategic collaborations. These developments promise to improve patient care, streamline operations, and accelerate medical research. AI-powered predictive models are set to transform healthcare decision-making. These tools will analyze vast amounts of patient data to forecast health outcomes and identify potential risks. For example, AI platforms ...
Calls9
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8 Generative AI Use Cases in Healthcare | Calls9 Insights
This approach enhances global healthcare preparedness, providing powerful AI tools for risk prediction and mitigation. For example, a group of researchers from Harvard Medical School and the University of Oxford developed an AI tool called EVEscape, which has a generative model at its core.
Medium
medium.com › projectpro › 30-practical-generative-ai-use-cases-in-healthcare-with-real-world-projects-e5ff30258340
30 Practical Generative AI Use Cases in Healthcare With Real-World Projects | by Khushbu Shah | ProjectPro | Medium
March 17, 2025 - By 2027, the AI healthcare market is set to soar past $187 billion, changing how we diagnose, treat, and manage diseases. Have you ever wondered of an AI system that anticipates heart attacks before they happen, designs personalized treatment plans in seconds, or automates medical documentation, giving doctors more time to focus on what truly matters — patient care? ... This isn’t some distant future vision — it’s unfolding right now. Generative AI is already making waves in healthcare, and if you’re an AI developer, researcher, or AI enthusiast, now is the perfect time to start building hands-on projects that shape this revolution.