Artificial Intelligence in pathology: current applications, limitations, and future directions.

Journal: Irish journal of medical science
Published Date: Aug 5, 2023

Abstract

PURPOSE: Given AI's recent success in computer vision applications, majority of pathologists anticipate that it will be able to assist them with a variety of digital pathology activities. Massive improvements in deep learning have enabled a synergy between Artificial Intelligence (AI) and deep learning, enabling image-based diagnosis against the backdrop of digital pathology. AI-based solutions are being developed to eliminate errors and save pathologists time.

Authors

  • Akhil Sajithkumar
    Department of Oral Pathology and Microbiology, Malabar Dental College and Research Centre, Manoor Chekanoor Road, Mudur PO, Edappal, Malappuram Dist, 679578, India. aksmvpa@gmail.com.
  • Jubin Thomas
    Department of Oral Pathology and Microbiology, Malabar Dental College and Research Centre, Manoor Chekanoor Road, Mudur PO, Edappal, Malappuram Dist, 679578, India.
  • Ajish Meprathumalil Saji
    Department of Oral Pathology and Microbiology, Malabar Dental College and Research Centre, Manoor Chekanoor Road, Mudur PO, Edappal, Malappuram Dist, 679578, India.
  • Fousiya Ali
    Department of Oral Pathology and Microbiology, Malabar Dental College and Research Centre, Manoor Chekanoor Road, Mudur PO, Edappal, Malappuram Dist, 679578, India.
  • Haneena Hasin E K
    Department of Oral Pathology and Microbiology, Malabar Dental College and Research Centre, Manoor Chekanoor Road, Mudur PO, Edappal, Malappuram Dist, 679578, India.
  • Hannan Abdul Gafoor Adampulan
    Department of Oral Pathology and Microbiology, Malabar Dental College and Research Centre, Manoor Chekanoor Road, Mudur PO, Edappal, Malappuram Dist, 679578, India.
  • Swathy Sarathchand
    Sree Narayana Institute of Medical Sciences, Chalakka - Kuthiathode Rd, North Kuthiathode, Kunnukara, Kerala, 683594, India.

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