The convergence of Quantum Intelligence (QI) and Large Language Models (LLMs) presents a ground-breaking opportunity for creating intelligent healthcare solutions and systems. Within the scope of the proposed study, we examine the development of integrated healthcare solutions and systems designed to lift some of the burdens of quantum computational processing, drawing from the quantum computing paradigm, and complemented by the LLM healthcare solutions/models, which include BioBERT, BioGPT, and other GPT healthcare interpretive models, as well as the contextually and logically structured healthcare solutions provided by the LLMs. The models developed healthcare solutions primarily aimed at advanced healthcare diagnostics, treatment, and the responsive delivery and servicing of healthcare systems. He suggested solutions and models integrate various aspects of the use of variation quantum circuits, and also include compression, combining construction with genomic compression, quantum health care embedding and processing, and the use of unstructured health care narratives. Solutions and models provided in the health care context apply benefits derived from the quantum differential health care confidential protective protocols, and the blockchain health care models, focusing on optimal health care delivery and maintaining the highest levels of confidentiality. With design and construction that promotes optimal delivery of health care, the proposed models demonstrate simulated validations in their applications. These models offer substantive contributions to quantum health care and its various scalable solutions, emphasizing the delivery and responsiveness of health care. The proposed models in the system also demonstrate simulated validations in their applications and offer substantive contributions to quantum health care, its various scalable solutions, and the delivery and responsiveness of health care. We wrapped up the validation through the application simulations and showed that the proposed models and solutions in the healthcare domain provide CI or Q over Healthcare AI or Q solutions/models and capabilities, and over healthcare delivery and responses and solutions.

CRC Press eBooksAug 2, 20260 citations

Quantum Intelligence for Personalized and Precision Medicine

Sohom Saha, Mahendra Kumar Singh, Prashant Kumar Choudhary

Quantum intelligence, which integrates quantum computing and artificial intelligence, is emerging as a transformative approach for personalized and precision medicine. This chapter explores its applications in genomic analysis, disease prediction, drug discovery, and clinical decision-making. Quantum machine learning can efficiently process complex healthcare datasets, enabling improved risk prediction, patient stratification, and personalized treatment. The chapter highlights applications in cancer care, cardiovascular disease prediction, rare disease diagnosis, and smart healthcare systems integrating electronic health records and Internet of Medical Things devices. It also discusses challenges related to data security, privacy, ethics, and regulatory readiness. Overall, quantum intelligence has strong potential to improve the accuracy, efficiency, and personalization of future healthcare.

Advances in computational intelligence and robotics book seriesOct 23, 20260 citations