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Review of artificial intelligence clinical applications in Nuclear Medicine.
Panagiotidis, Emmanouil; Papachristou, Konstantinos; Makridou, Anna; Zoglopitou, Lydia-Aggeliki; Paschali, Anna; Kalathas, Theodoros; Chatzimarkou, Michael; Chatzipavlidou, Vasiliki.
Afiliação
  • Panagiotidis E; Nuclear Medicine Department, Cancer Hospital of Thessaloniki 'Theagenio' and .
  • Papachristou K; Medical Physics Department, Cancer Hospital of Thessaloniki 'Theagenio', Thessaloniki, Greece.
  • Makridou A; Medical Physics Department, Cancer Hospital of Thessaloniki 'Theagenio', Thessaloniki, Greece.
  • Zoglopitou LA; Medical Physics Department, Cancer Hospital of Thessaloniki 'Theagenio', Thessaloniki, Greece.
  • Paschali A; Nuclear Medicine Department, Cancer Hospital of Thessaloniki 'Theagenio' and .
  • Kalathas T; Nuclear Medicine Department, Cancer Hospital of Thessaloniki 'Theagenio' and .
  • Chatzimarkou M; Medical Physics Department, Cancer Hospital of Thessaloniki 'Theagenio', Thessaloniki, Greece.
  • Chatzipavlidou V; Nuclear Medicine Department, Cancer Hospital of Thessaloniki 'Theagenio' and .
Nucl Med Commun ; 45(1): 24-34, 2024 Jan 01.
Article em En | MEDLINE | ID: mdl-37901920
ABSTRACT
This paper provides an in-depth analysis of the clinical applications of artificial intelligence (AI) in Nuclear Medicine, focusing on three key areas neurology, cardiology, and oncology. Beginning with neurology, specifically Alzheimer's disease and Parkinson's disease, the paper examines reviews on diagnosis and treatment planning. The same pattern is followed in cardiology studies. In the final section on oncology, the paper explores the various AI applications in multiple cancer types, including lung, head and neck, lymphoma, and pancreatic cancer.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias / Neurologia / Medicina Nuclear Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias / Neurologia / Medicina Nuclear Idioma: En Ano de publicação: 2024 Tipo de documento: Article