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处于十字路口的人工智能(AI)发展:增强富有成效的与日益减少的颠覆性癌症研究

Evolving Artificial Intelligence (AI) at the Crossroads: Potentiating Productive vs. Declining Disruptive Cancer Research.

作者信息

Sharma Nilesh Kumar, Sarode Sachin C

机构信息

Cancer and Translational Research Lab, Dr. D.Y. Patil Biotechnology & Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Pune 411033, Maharashtra, India.

Department of Oral Pathology and Microbiology, Dr. D.Y. Patil Dental College and Hospital, Dr. D.Y. Patil Vidyapeeth, Pune 411018, Maharashtra, India.

出版信息

Cancers (Basel). 2024 Oct 29;16(21):3646. doi: 10.3390/cancers16213646.

Abstract

Artificial intelligence (AI), encompassing several tools and platforms such as artificial "general" intelligence (AGI) and generative artificial intelligence (GenAI), has facilitated cancer research, enhancing productivity in terms of research publications and translational value for cancer patients. AGI tools, such as ChatGPT, assist preclinical and clinical scientists in identifying tumor heterogeneity, predicting therapy outcomes, and streamlining research publications. However, this perspective review also explores the potential of AI's influence on cancer research with regard to its impact on disruptive sciences and discoveries by preclinical and clinical scientists. The increasing reliance on AI tools may compromise biological intelligence, disrupting abstraction, creativity, and critical thinking. This could contribute to the declining trend of disruptive sciences, hindering landmark discoveries and innovations. This perspective review narrates the role of different forms of AI in the potentiation of productive cancer research and the potential disruption of disruptive sciences due to AI's influence.

摘要

人工智能(AI)涵盖多种工具和平台,如通用人工智能(AGI)和生成式人工智能(GenAI),它推动了癌症研究,提高了研究论文发表的效率以及对癌症患者的转化价值。AGI工具,如ChatGPT,可协助临床前和临床科学家识别肿瘤异质性、预测治疗结果并简化研究论文发表流程。然而,这篇观点综述还探讨了AI对癌症研究的潜在影响,涉及它对临床前和临床科学家的颠覆性科学及发现的影响。对AI工具的日益依赖可能会损害生物智能,破坏抽象思维、创造力和批判性思维。这可能导致颠覆性科学呈下降趋势,阻碍具有里程碑意义的发现和创新。这篇观点综述阐述了不同形式的AI在促进富有成效的癌症研究中的作用,以及由于AI的影响而对颠覆性科学产生的潜在破坏。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55a9/11544874/c7dd03ef5439/cancers-16-03646-g001.jpg

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