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Two new assessment articles in AI in Precision Oncology discover the position of synthetic intelligence (AI) in early most cancers detection. A primer offers an summary of AI, and the second assessment examines the promising scientific purposes of AI in early most cancers detection.
Within the primer, Nikhil Thaker, MD, Medical Director and Chair of Radiation Oncology, Capital Well being, and Co-Founder, Chief Medical Officer at Bayta Programs, and co-authors describe the relevance, methodologies, and purposes of AI. AI purposes span numerous oncology knowledge varieties, together with electronic health records, medical imaging (radiology and digital pathology), biomarkers (genomics, proteomics, metabolomics), and digital well being sensors.
Leveraging AI in oncology enhances diagnostic accuracy, improves remedy choice, and allows early detection by means of revolutionary approaches like wearable gadgets and cellular well being purposes.
Within the assessment titled “The Position of Synthetic Intelligence in Early Most cancers Detection: Exploring Early Scientific Purposes,” Nikhil Thaker, MD, and co-authors state, “AI’s integration in early most cancers analysis signifies a paradigm shift in well being care, providing transformative potential in analyzing complicated knowledge from various modalities. This expertise, nonetheless, ought to complement, not substitute, medical experience. Efficiently integrating AI into medication requires a strong, multi-disciplinary strategy.”
“This manuscript underscores the need for our journal, providing a complete evaluation of enormous language fashions’ prime purposes, particularly in bettering most cancers screening and early detection. It highlights the transformative potential of AI in well being care, urging a shift in direction of higher requirements. The authors articulate a transparent imaginative and prescient for progress, inviting readers to discover the substantial advantages of AI-enabled well being care developments,” says Douglas Flora, MD, Editor-in-Chief of AI in Precision Oncology.
Extra data:
Nikhil G. Thaker et al, The Position of Synthetic Intelligence in Early Most cancers Detection: A Primer on Synthetic Intelligence, AI in Precision Oncology (2024). DOI: 10.1089/aipo.2024.0003
Nikhil G. Thaker et al, The Position of Synthetic Intelligence in Early Most cancers Detection: Exploring Early Scientific Purposes, AI in Precision Oncology (2024). DOI: 10.1089/aipo.2023.0011
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Exploring the position of synthetic intelligence in early most cancers detection (2024, April 11)
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