Enhancing Multidisciplinary Team Efficiency: The Transformative Potential of Artificial Intelligence

Authors

DOI:

https://doi.org/10.36283/ziun-pjmd14-4/107

Keywords:

Multidisciplinary care;, Artificial Intelligence , Teams, Transformation , Tumor boards

Abstract

Multidisciplinary Team (MDT) boards are teams of experts from different specialties that aim to formulate standardized Treatment plans. MDTs are now widely implemented to enhance decision-making and optimize clinical outcomes of complicated cancer cases. However, diversity in framework, Information gaps, non-standardized practices, and Power structure tend to compromise the effectiveness of MDT boards1. These challenges limit effective patient care and hinder patient adherence to clinical protocols. Though the potential benefits of MDT boards have been acknowledged by current literature, the overall effects on patient outcomes are inconclusive; this necessitates a closer examination of MDT boards. Innovative solutions are needed to improve the functionality and outcomes of these boards2. Artificial Intelligence (AI) integration into MDT boards is a potential solution for these challenges. AI enhances clinical decision-making by facilitating communication, data sharing, and providing clarity and precision. For example, tailored recommendations and convenient treatment plans can be achieved by AI-powered predictive analytics based on patient-specific data and clinical guidelines3.

Author Biographies

  • Nazeer Ahmed, Karachi Medical and Dental College Karachi/Abbasi Shaheed Hospital ,Karachi, Pakistan.



  • Ahmed Nadeem Abbasi , Agha Khan University Hospital ,Karachi, Pakistan.

    Department of Radiation Oncology and Professor,

  • Shehroz Ali , Karachi Medical and Dental College Karachi/Abbasi Shaheed Hospital ,Karachi, Pakistan.

    Final Year MBBS Student,

References

Specchia ML, Frisicale EM, Carini E, Di Pilla A, Cappa D, Ricciardi W, et al. The impact of tumor board on cancer care: evidence from an umbrella review. BMC Health Serv Res. 2020;20(1):1–10. doi:10.1186/s12913-020-4930-3. Available from: https://bmchealthservres.biomedcentral.com/articles/10.1186/s12913-020-4930-3

Di Pilla A, Cozzolino MR, Mannocci A, Del Cimmuto A, De Sario M, De Giusti M, et al. The impact of tumor boards on breast cancer care: evidence from a systematic literature review and meta-analysis. Int J Environ Res Public Health. 2022;19(22):14990. doi:10.3390/ijerph192214990. Available from: https://www.mdpi.com/1660-4601/19/22/14990

Stangl H, Weiss M. The role of artificial intelligence in cancer diagnosis and treatment: current applications and future directions. Cancers (Basel). 2020;12(8):2212. doi:10.3390/cancers12082212. Available from: https://www.mdpi.com/2072-6694/12/8/2212

Mano MS, Çitaku FT, Barach P. Implementing multidisciplinary tumor boards in oncology: a narrative review. Future Oncol. 2022;18(3):375–84. doi:10.2217/fon-2021-0471. Available from: https://www.futuremedicine.com/doi/10.2217/fon-2021-0471

Davis AM, Schrag D. Tumor boards linked to little association with effects on cancer care. JNCI J Natl Cancer Inst. 2013;105(2):NP–NP. doi:10.1093/jnci/djs647. Available from: https://academic.oup.com/jnci/article/105/2/NP/2517136

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Published

2025-09-29

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How to Cite

1.
Ahmed N, Abbasi AN, Ali S. Enhancing Multidisciplinary Team Efficiency: The Transformative Potential of Artificial Intelligence. PJMD [Internet]. 2025 Sep. 29 [cited 2026 Jun. 3];14(4). Available from: https://ojs.zu.edu.pk/pjmd/article/view/3716

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