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AI and Neurology
AI and Neurology
Knygos.lt klubas Knygos.lt nariams
309,48 €
-15%
Įprastai
364,09 €
  • Planuojame turėti už 154 d.
The integration of Artificial Intelligence and Machine Learning into the field of neurology presents a transformative opportunity for diagnosing and managing neurological conditions and neurodegenerative diseases. The increasing complexity and volume of neuropsychiatric data necessitate sophisticated systems for data management. AI and Neurology is essential for neurologists, neuroscientists, and healthcare professionals aiming to integrate AI into their practice. It provides valuable insights…
  • Leidėjas:
  • Metai: 2027
  • Puslapiai: 240
  • ISBN-10: 1041000111
  • ISBN-13: 9781041000112
  • Kalba: Anglų

AI and Neurology (el. knyga) (skaityta knyga) | knygos.lt

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The integration of Artificial Intelligence and Machine Learning into the field of neurology presents a transformative opportunity for diagnosing and managing neurological conditions and neurodegenerative diseases. The increasing complexity and volume of neuropsychiatric data necessitate sophisticated systems for data management. AI and Neurology is essential for neurologists, neuroscientists, and healthcare professionals aiming to integrate AI into their practice. It provides valuable insights into how AI can enhance diagnostic accuracy, improve patient outcomes, and streamline clinical workflows. It will be a vital resource for researchers exploring AI-driven data analysis techniques crucial for advancing their studies.

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  • Leidėjas:
  • Metai: 2027
  • Puslapiai: 240
  • ISBN-10: 1041000111
  • ISBN-13: 9781041000112
  • Kalba: Anglų

The integration of Artificial Intelligence and Machine Learning into the field of neurology presents a transformative opportunity for diagnosing and managing neurological conditions and neurodegenerative diseases. The increasing complexity and volume of neuropsychiatric data necessitate sophisticated systems for data management. AI and Neurology is essential for neurologists, neuroscientists, and healthcare professionals aiming to integrate AI into their practice. It provides valuable insights into how AI can enhance diagnostic accuracy, improve patient outcomes, and streamline clinical workflows. It will be a vital resource for researchers exploring AI-driven data analysis techniques crucial for advancing their studies.

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