Artificial intelligence in general internal medicine

Adham El Sherbini, Benjamin S. Glicksberg, Chayakrit Krittanawong

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review


An overview of the use of artificial intelligence (AI) in general hospital medicine is given in this chapter, with a particular emphasis on high-value treatment, perioperative management, patient safety and quality issues, screening, vaccine recommendations, and telemedicine. AI has the potential to deliver standardized care more accurately and effectively. AI helps with risk assessment and therapy optimization in perioperative care. However, there are still issues with data accessibility and disease-specific checks. AI can help with patient safety and quality issues, but medication and diagnostic errors must be addressed. AI screening has also demonstrated promise for several internal medicine diseases, including cancer, diabetes, diabetes-related conditions, cardiovascular disease, and mental health issues. AI can also help with telehealth and vaccine development, facilitating remote diagnosis and enhancing patient access to care. However, further research is required to address the modifications in the hospital setting and technology accessibility.

Original languageEnglish
Title of host publicationArtificial Intelligence in Clinical Practice
Subtitle of host publicationHow AI Technologies Impact Medical Research and Clinics
Number of pages10
ISBN (Electronic)9780443156885
ISBN (Print)9780443156892
StatePublished - 1 Jan 2023


  • Artificial intelligence
  • internal medicine
  • patient safety
  • screening
  • telehealth
  • vaccine recommendations


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