Artificial intelligence in cancer diagnosis: Opportunities and challenges.

Journal: Pathology, research and practice
Published Date: Nov 29, 2023

Abstract

Since cancer is one of the world's top causes of death, early diagnosis is critical to improving patient outcomes. Artificial intelligence (AI) has become a viable technique for cancer diagnosis by using machine learning algorithms to examine large volumes of data for accurate and efficient diagnosis. AI has the potential to alter the way cancer is detected fundamentally. Still, it has several disadvantages, such as requiring a large amount of data, technological limitations, and ethical concerns. This overview looks at the possibilities and restrictions of AI in cancer detection, as well as current applications and possible future developments. We can better understand how to use AI to improve patient outcomes and reduce cancer mortality rates by looking at its potential for cancer detection.

Authors

  • Mohammed S Alshuhri
    Radiology and Medical Imaging Department, College of Applied Medical Sciences, Prince Sattam bin Abdulaziz University, Kharj, Saudi Arabia.
  • Sada Ghalib Al-Musawi
    College of Pharmacy, National University of Science and Technology, Dhi Qar, Iraq.
  • Ameen Abdulhasan Al-Alwany
    University of Baghdad/ College of Medicine, Baghdad, Iraq.
  • Herlina Uinarni
    Department of Anatomy, School of Medicine and Health Sciences Atma Jaya Catholic University of Indonesia, Indonesia; Radiology department of Pantai Indah Kapuk Hospital Jakarta, Jakarta, Indonesia. Electronic address: Dr.uinarniherlina@outlook.com.
  • Irodakhon Rasulova
    School of Humanities, Natural & Social Sciences, New Uzbekistan University, 54 Mustaqillik Ave., Tashkent 100007, Uzbekistan; Department of Public Health, Samarkand State Medical University, Amir Temur Street 18, Samarkand, Uzbekistan.
  • Paul Rodrigues
    Department of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, Abha, Asir, Kingdom of Saudi Arabia.
  • Adnan Taan Alkhafaji
    Cardiology Department, College of Medicine, Al-Ayen University, Dhi-Qar, Iraq.
  • Asim Muhammed Alshanberi
    Department of Community Medicine & Pilgrim Healthcare, Umm Alqura University, Makkah 24382, Saudi Arabia; General Medicine Practice Program, Batterjee Medical College, Jeddah 21442, Saudi Arabia.
  • Ahmed Hussien Alawadi
    College of Technical Engineering, the Islamic University, Najaf, Iraq; College of Technical Engineering, the Islamic University of Al Diwaniyah, Iraq; College of Technical Engineering, the Islamic University of Babylon, Iraq.
  • Ali Hashim Abbas
    College of Technical Engineering, Imam Ja'afar Al-Sadiq University, Al-Muthanna 66002, Iraq.

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