Transforming Cancer Care: The Impact of AI-driven Strategies

Debanjan Mukherjee; Debajyoti Roy; Shubham Thakur

doi:10.2174/0115680096323564240703102748

ISSN: 1568-0096
E-ISSN: 1873-5576

Transforming Cancer Care: The Impact of AI-driven Strategies
Authors: Debanjan Mukherjee¹, Debajyoti Roy² and Shubham Thakur³
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¹ Department of Quality Assurance, ISF College of Pharmacy, Moga, Punjab, 142001, India; ² Department of Pharmacognosy, C.V. Raman Global University, Bhubaneswar, 752054, Odisha, India ; ³ Department of Pharmaceutics, ISF College of Pharmacy, Moga, Punjab, 142001, India
Source: Current Cancer Drug Targets, Volume 25, Issue 2, Feb 2025, p. 204 - 207
DOI: https://doi.org/10.2174/0115680096323564240703102748
- Received: 01 May 2024
- Accepted: 10 Jun 2024
- Available online: 10 Jul 2024

Abstract

AI is a critical component in healthcare, especially in the application of precision medicine where patients’ characteristics, including genetic makeup, determine the treatment options that should be implemented. AI sorts big data, predicting people’s reactions to specific treatments, the right combinations of drugs, and possible side effects, therefore increasing the efficiency of the treatment process and decreasing negative outcomes. This article briefly presents the ethical issues and concerns that might arise due to the integration of AI in society, such as the privacy of data, the issues of bias in the algorithms, and the issues of interpretability of the AI systems. Nevertheless, there is no doubt that AI can bring qualitative changes in cancer care based on its potential to enhance patient prognosis and reduce health care costs, as well as become a defining feature of the standard of care.

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2024-07-10

2025-04-13

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References

DebelaD.T. MuzazuS.G.Y. HeraroK.D. NdalamaM.T. MeseleB.W. HaileD.C. KituiS.K. ManyazewalT. New approaches and procedures for cancer treatment: Current perspectives. SAGE Open Med.2021910.1177/20503121211034366 34408877
[Google Scholar]
PulumatiA. PulumatiA. DwarakanathB.S. VermaA. PapineniR.V.L. Technological advancements in cancer diagnostics: Improvements and limitations.Cancer Rep.202362e176410.1002/cnr2.1764 36607830
[Google Scholar]
LewandowskaA. RudzkiG. LewandowskiT. PróchnickiM. RudzkiS. LaskowskaB. BrudniakJ. Quality of life of cancer patients treated with chemotherapy.Int. J. Environ. Res. Public Health20201719693810.3390/ijerph17196938 32977386
[Google Scholar]
AhnJ.S. ShinS. YangS.A. ParkE.K. KimK.H. ChoS.I. OckC.Y. KimS. Artificial intelligence in breast cancer diagnosis and personalized medicine.J. Breast Cancer202326540543510.4048/jbc.2023.26.e45 37926067
[Google Scholar]
LiaoJ. LiX. GanY. HanS. RongP. WangW. LiW. ZhouL. Artificial intelligence assists precision medicine in cancer treatment.Front. Oncol.20231299822210.3389/fonc.2022.998222 36686757
[Google Scholar]
YelneS. ChaudharyM. DodK. SayyadA. SharmaR. Harnessing the power of AI: A comprehensive review of its impact and challenges in nursing science and healthcare.Cureus20231511e4925210.7759/cureus.49252 38143615
[Google Scholar]
HunterB. HindochaS. LeeR.W. The role of artificial intelligence in early cancer diagnosis.Cancers2022146152410.3390/cancers14061524 35326674
[Google Scholar]
KumarY. GuptaS. SinglaR. HuY.C. A systematic review of artificial intelligence techniques in cancer prediction and diagnosis.Arch. Comput. Methods Eng.20222942043207010.1007/s11831‑021‑09648‑w 34602811
[Google Scholar]
LiuC. LiuX. WuF. XieM. FengY. HuC. Using artificial intelligence (watson for oncology) for treatment recommendations amongst chinese patients with lung cancer: feasibility study.J. Med. Internet Res.2018209e1108710.2196/11087 30257820
[Google Scholar]
WilliamsonS.M. PrybutokV. Balancing privacy and progress: A review of privacy challenges, systemic oversight, and patient perceptions in ai-driven healthcare.Appl. Sci.202414267510.3390/app14020675
[Google Scholar]
FerraraE. Fairness and bias in artificial intelligence: a brief survey of sources, impacts, and mitigation strategies.Sci202361310.3390/sci6010003
[Google Scholar]
ElenduC. AmaechiD.C. ElenduT.C. JingwaK.A. OkoyeO.K. John OkahM. LadeleJ.A. FarahA.H. AlimiH.A. Ethical implications of AI and robotics in healthcare: A review.Medicine (Baltimore)202310250e3667110.1097/MD.0000000000036671 38115340
[Google Scholar]
MennellaC. ManiscalcoU. De PietroG. EspositoM. Ethical and regulatory challenges of AI technologies in healthcare: A narrative review.Heliyon2024104e2629710.1016/j.heliyon.2024.e26297 38384518
[Google Scholar]
Pinto-CoelhoL. How Artificial Intelligence Is Shaping Medical Imaging Technology: A Survey of Innovations and Applications.Bioengineering20231012143510.3390/bioengineering10121435 38136026
[Google Scholar]
YadavS. SinghA. SinghalR. YadavJ.P. Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry.Intell. Pharm.202423367380
[Google Scholar]

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Transforming Cancer Care: The Impact of AI-driven Strategies

Curr. Cancer Drug Targets< 25, 204 (2025); https://doi.org/10.2174/0115680096323564240703102748

/content/journals/ccdt/10.2174/0115680096323564240703102748

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Article Type: Editorial

Keyword(s): algorithmic bias; Artificial intelligence; cancer care; medical imaging; personalized medicine; treatment optimization

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Transforming Cancer Care: The Impact of AI-driven Strategies

Abstract

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