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Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospects

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Abstract

Purpose

Artificial intelligence (AI) has contributed to the advancement of medical research, particularly cancer research. AI technology is an inclusive science comprising computer science, cybernetics, psychology, neurophysiology, medical science, and dialectology.

Methods

In the present review, we first addressed the new developments of AI in the oncology-related area and its application in the progression of anticancer drugs and treatment. Then, we discuss the state-of-the-art status and progress outlook of AI.

Results

Comprehensive Cancer Information from the National Cancer Institute (NCI) suggests that AI, deep learning (DL), and machine learning (ML) can be utilized to improve patient outcomes in cancer care. AI technology can be used to anticipate the action of anticancer drugs and/or aid in the development of anticancer drugs. AI technology can aid physicians in making accurate treatments, decreasing nonessential surgeries, and assisting oncologists in progressing treatment plans for cancer patients. Thus, AI can improve the speed and accuracy of cancer detection, assist with clinical decision-making, and result in better health outcomes.

Conclusions

We conclude by summarizing the challenges and possible future directions—along with their limitations—of AI-assisted anticancer medication research in the context of cancer. The application of AI in cancer research has a significant future in prognostication and decision-making given the expanding tendency.

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Authors and Affiliations

  1. Department of Pharmacology, East Point College of Pharmacy, Bangalore, 560027, India

    Mohammad Ali

  2. Division of Pharmaceutics, Department of Pharmaceutical Sciences, School of Applied Science and Technology, University of Kashmir, Srinagar, 190006, India

    Shahid Ud Din Wani

  3. Department of Pharmaceutical Chemistry, East Point College of Pharmacy, Bangalore, 560027, India

    Tathagata Dey

  4. Department of Pharmacology, JSS College of Pharmacy, Mysuru, 570015, India

    Seema Mehdi

  5. Department of Pharmacology, Sri Adichunchanagiri College of Pharmacy, Adichunchanagiri University, B.G Nagar, Nagamagala, Bellur, Karnataka, 571418, India

    Mohammad Ali

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  1. Mohammad Ali
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  4. Seema Mehdi
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Contributions

M.A. and S.U.D.W.: Conceptualization, methodology. M.A., S.U.D.W. and T.D.: resources, S.U.D.W., and S.M: data curation, M.A. and S.U.D.W.: writing—original draft preparation. M.A., and S.U.D.W writing—review and editing.

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Correspondence to Shahid Ud Din Wani.

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Ali, M., Wani, S.U.D., Dey, T. et al. Artificial intelligence in the treatment of cancer: Changing patterns, constraints, and prospects. Health Technol. 14, 417–432 (2024). https://doi.org/10.1007/s12553-024-00825-y

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