Advancing Neurocritical Care with Artificial Intelligence and Machine Learning: The Promise, Practicalities, and Pitfalls ahead.

Journal: Neurologic clinics
PMID:

Abstract

Expansion of artificial intelligence (AI) in the field of medicine is changing the paradigm of clinical practice at a rapid pace. Incorporation of AI in medicine offers new tools as well as challenges, and physicians and learners need to adapt to assimilate AI into practice and education. AI can expedite early diagnosis and intervention with real-time multimodal monitoring. AI assistants can decrease the clerical burden of heath care improving the productivity of work force while mitigating burnout. There are still no regulatory parameters for use of AI and regulatory framework is needed for the implementation of AI systems in medicine to ensure transparency, accountability, and equitable access.

Authors

  • Rohan Sharma
    Department of Neurological Surgery, Neurology and Critical Care, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL 32256, USA.
  • Saif Salman
    Eltewacy Arab Research Group, Cairo, Egypt.
  • Qiangqiang Gu
    International Center for Quantum Materials, School of Physics, Peking University, Beijing 100871, China.
  • William D Freeman
    Department of Neurological Surgery, Neurology and Critical Care, Mayo Clinic, 4500 San Pablo Road S, Jacksonville, FL 32256, USA. Electronic address: william.freeman1@mayo.edu.