In Gorakhpur, Uttar Pradesh, Kishenpal Singh, a 47-year-old farmer, utilizes an AI application to monitor his health post-CAR T-cell therapy for lymphoma. Experiencing symptoms such as a recurrent cough and shortness of breath, the AI tool advised him to seek hospital assessment, highlighting his low immunity after treatment. This application aids in managing post-therapy instructions and allows for real-time communication between patients and doctors, significantly improving patient outcomes. Dr. Rahul Bhargava, a hematologist, emphasizes the advantages of agentic AI in patient monitoring, which offers proactive interventions unlike generative AI. The application assists in predicting risk factors and streamlining patient care, ultimately leading to reduced hospital stays and costs. Despite the challenges of regulation and ethical accountability, the integration of AI in healthcare is poised to enhance treatment efficacy, making it a vital tool in managing lymphoma and other conditions effectively.
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