What question did this study set out to answer?

The aim is to evaluate how artificial intelligence can enhance the diagnosis and treatment of phenylketonuria (PKU).

April 3, 2026Reviews on Recent Clinical Trials0 citations

Artificial Intelligence in Phenylketonuria: Bridging Conventional Gaps inDiagnosis and Treatment- A Systematic Review

ZNZulfa Nooreen AWAnkita Wal HVHimangi Vig

Key Points

The aim is to evaluate how artificial intelligence can enhance the diagnosis and treatment of phenylketonuria (PKU).
Conducted a systematic review of existing literature on PKU and AI applications
Analyzed studies discussing diagnosis methods and treatment strategies
Evaluated the effectiveness of early intervention strategies for PKU
Early diagnosis through AI significantly improves treatment options
Lifelong dietary treatment is crucial for maintaining low levels of phenylalanine
Conventional approaches may be enhanced by AI-driven techniques

Abstract

This study presents a comprehensive overview of pathogenesis, risk factors, pathophysiology, symptoms, diagnoses, and treatment. PKU has no known cure, especially in late-stage cases; however, if the illness is diagnosed earlier, treatment is more feasible. Lifelong dietary treatment aimed at preserving low phenylalanine levels and sufficient.

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Cite This Study

Nooreen et al. (Mon,) studied this question.

synapsesocial.com/papers/69cf5d4e5a333a821460afc5 https://doi.org/https://doi.org/10.2174/0115748871444112260226045508

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