What question did this study set out to answer?

To review the application of artificial intelligence and computer-based models in identifying herbal materials, detecting adulterants, and standardizing quality control.

June 27, 2025Current Computer Science

Artificial Intelligence in Herbal Drug Authentication: Revolutionizing Identification, Adulterant Detection and Standardization

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To review the application of artificial intelligence and computer-based models in identifying herbal materials, detecting adulterants, and standardizing quality control.
Surveyed recent computational and machine learning models utilized for herbal identification and adulterant detection.
Compared AI-based methodologies against conventional morphological and microscopic techniques regarding speed, cost-effectiveness, and diagnostic precision.
Artificial intelligence algorithms improve species identification and adulterant detection over labor-intensive manual methods.
Computer-based models reduce laboratory costs and testing turnaround times, supporting greater therapeutic reproducibility and product consistency in herbal manufacturing.

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Implication

Review demonstrates enhanced accuracy and efficiency of artificial intelligence in herbal drug authentication, indicating major potential to improve standardization and consumer safety.

Cite This Study

A 2025 study studied this question.

synapsesocial.com/papers/6a7f8a4028599473a9c76181 https://doi.org/10.2174/0129503779378012250613194901

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Implication

Review demonstrates enhanced accuracy and efficiency of artificial intelligence in herbal drug authentication, indicating major potential to improve standardization and consumer safety.

Artificial Intelligence in Herbal Drug Authentication: Revolutionizing Identification, Adulterant Detection and Standardization

Key Points

Discussion

Implication

Cite This Study

Artificial Intelligence in Herbal Drug Authentication: Revolutionizing Identification, Adulterant Detection and Standardization

Key Points

Discussion

Implication

Cite This Study

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