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Evolving Artificial Intelligence (AI) at the Crossroads: Potentiating Productive vs. Declining Disruptive Cancer
Nilesh Kumar Sharma1, Sachin C Sarode2
1Cancer and Translational Research Lab, Dr. D.Y. Patil Biotechnology & Bioinformatics Institute, Dr. D.Y. Patil Vidyapeeth, Pune 411033, Maharashtra, India.
Cancers
|November 9, 2024
Summary
Artificial intelligence (AI) boosts cancer research productivity but may hinder disruptive scientific discovery by impacting critical thinking. This review examines AI's dual role in cancer research and innovation.
Area of Science:
- Oncology
- Artificial Intelligence
- Biomedical Research
Background:
- Artificial intelligence (AI), including artificial general intelligence (AGI) and generative AI (GenAI), is increasingly utilized in cancer research.
- AI tools enhance research productivity, publication output, and translational value for cancer patients.
- Specific AI applications include identifying tumor heterogeneity and predicting therapy outcomes.
Purpose of the Study:
- To review the role of AI in advancing cancer research productivity.
- To explore the potential negative impact of AI on disruptive scientific discovery.
- To analyze the influence of AI on critical thinking and innovation in preclinical and clinical scientists.
Main Methods:
- Perspective review of current AI applications in cancer research.
- Analysis of AI's potential effects on scientific creativity and critical thinking.
- Discussion of AI's influence on the trend of disruptive scientific discoveries.
Main Results:
- AI tools like ChatGPT enhance efficiency in tasks such as identifying tumor heterogeneity and streamlining publications.
- Over-reliance on AI may potentially compromise biological intelligence, abstraction, and critical thinking.
- A decline in disruptive sciences could result from AI's influence, hindering landmark discoveries.
Conclusions:
- AI offers significant benefits for productive cancer research and patient outcomes.
- The potential for AI to disrupt critical thinking and stifle innovation requires careful consideration.
- Balancing AI-driven productivity with the preservation of scientific creativity is crucial for future breakthroughs.
Keywords:
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