In the originally published article 1, certain phrases and expressions were unclear, which may have affected readability. These have now been revised to improve clarity and ensure that the intended meaning is accurately conveyed. The corrections do not affect the results, interpretations, or conclusions of the article. We apologize for any inconvenience caused to the readers. The original article can be found online at: https://www.benthamscience.com/article/147919 Details of the correction: Original: AI systems are transforming healthcare by improving diagnosis and treatment. IBM Watson Health helps with cancer care, but Google DeepMind diagnoses eye ailments and forecasts patient deterioration. PathAI improves pathology accuracy, whereas Zebra Medical Vision examines medical images for a variety of illnesses. Aidoc and Viz.ai assist with emergency diagnosis, while Babylon Health and Tempus provide personalized telemedicine and cancer therapy. Butterfly Network and Arterys offer enhanced imaging techniques for reliable diagnosis 15. Corrected: AI systems are transforming healthcare by improving diagnosis and treatment. IBM Watson Health helps with cancer care, but Google DeepMind diagnoses eye disease and forecasts patient deterioration. PathAI improves pathology accuracy, whereas Zebra Medical Vision examines medical images for a variety of illnesses. Aidoc and Viz.ai assist with emergency diagnosis, while Babylon Health and Tempus provide personalized telemedicine and cancer therapy. Butterfly Network and Arterys offer enhanced imaging techniques for reliable diagnosis 15. The article has been updated to reflect this correction.
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Deepshi Arora
Moin
Yugam Taneja
Current pharmacogenomics and personalized medicine (Online)/Current pharmacogenomics and personalized medicine
Gurukul Kangri Vishwavidyalaya
Guru Gobind Singh Medical College and Hospital
Avantha Centre for Industrial Research & Development
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Arora et al. (Tue,) studied this question.
www.synapsesocial.com/papers/69df2bece4eeef8a2a6b0e52 — DOI: https://doi.org/10.2174/187569212201260310120235