The Impact of Artificial Intelligence on Allergy Diagnosis and Treatment.

Journal: Current allergy and asthma reports
PMID: 38954325

Abstract

PURPOSE OF REVIEW: Artificial intelligence (AI), be it neuronal networks, machine learning or deep learning, has numerous beneficial effects on healthcare systems; however, its potential applications and diagnostic capabilities for immunologic diseases have yet to be explored. Understanding AI systems can help healthcare workers better assimilate artificial intelligence into their practice and unravel its potential in diagnostics, clinical research, and disease management.

Authors

  • Maham Khan
    Fatima Jinnah Medical University, Lahore, Pakistan. mahamur12@gmail.com.
  • Sandipta Banerjee
    Kolkata Medical College & Hospital, Kolkata, West Bengal, India.
  • Sakshi Muskawad
    Anna Medical College, Montagne Blanche, Mauritius.
  • Rick Maity
    Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India.
  • Shubhayu Roy Chowdhury
    Bharati Vidyapeeth Medical College, Pune, India.
  • Rida Ejaz
    Shifa College of Medicine, Islamabad, Pakistan.
  • Ekins Kuuzie
    Ankaful Psychiatric Hospital, Cape Coast, Ghana.
  • Travis Satnarine
    University of Miami Miller School of Medicine, Miami, FL, USA.

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