Generative artificial intelligence and large language models in smart healthcare applications: Current status and...

Area of Science:

• Healthcare Technology
• Artificial Intelligence in Medicine
• Medical Informatics

Background:

• Rising global disease incidence due to climate change, habitat destruction, and aging populations necessitates innovative healthcare solutions.
• Generative AI and LLMs represent a significant advancement in machine learning, with models like GPT and BERT showing promise in medical applications.

Purpose of the Study:

• To review the potential benefits of generative AI and LLMs in smart healthcare.
• To identify and discuss the challenges and ethical considerations associated with implementing these technologies in healthcare.

Main Methods:

• A systematic literature review was performed.
• Searches were conducted across major databases including PubMed, PMC, Cochrane Library, Google Scholar, and Web of Science.
• Keywords focused on generative AI, LLMs, and healthcare applications.

Main Results:

• Generative AI and LLMs can process and analyze vast datasets for healthcare applications.
• Potential applications include intelligent virtual health assistants, personalized patient care plans, and early disease detection/intervention.
• Ongoing research highlights the transformative capabilities of these AI models in medicine.

Conclusions:

• Generative AI and LLMs hold significant promise for advancing smart healthcare.
• Key challenges such as AI bias, lack of explainability, ethical dilemmas, and integration issues require careful consideration and resolution.