[Cold thinking in the boom of artificial intelligence]

Area of Science:

• Medical Informatics
• Artificial Intelligence in Medicine
• Oncology

Background:

• Artificial intelligence (AI) clinical decision-support systems are a key area in medical AI research.
• Significant global research focuses on AI's application in cancer diagnosis and treatment.

Purpose of the Study:

• To explore current challenges and propose solutions for AI-driven clinical decision-support systems in oncology.
• To enhance clinician understanding of intelligent decision-making tools in cancer care.

Main Methods:

• Literature review of AI clinical decision-support systems in cancer research.
• Analysis of existing research group work in the field.
• Identification of current confusions and development of potential solutions.

Main Results:

• The study identifies key problems hindering the widespread adoption of AI decision-support systems in clinical practice.
• Potential solutions and strategies are proposed to address these identified challenges.
• The review highlights the ongoing progress and collaborative efforts in the field.

Conclusions:

• AI clinical decision-support systems have the potential to significantly assist clinicians in cancer care.
• Advancements in AI technology and conceptual understanding will improve the efficacy of these tools.
• Further research and development are crucial for realizing the full potential of intelligent decision-making in oncology.