Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions.
Cancer Discov
; 14(5): 711-726, 2024 May 01.
Article
en En
| MEDLINE
| ID: mdl-38597966
ABSTRACT
Artificial intelligence (AI) in oncology is advancing beyond algorithm development to integration into clinical practice. This review describes the current state of the field, with a specific focus on clinical integration. AI applications are structured according to cancer type and clinical domain, focusing on the four most common cancers and tasks of detection, diagnosis, and treatment. These applications encompass various data modalities, including imaging, genomics, and medical records. We conclude with a summary of existing challenges, evolving solutions, and potential future directions for the field. SIGNIFICANCE:
AI is increasingly being applied to all aspects of oncology, where several applications are maturing beyond research and development to direct clinical integration. This review summarizes the current state of the field through the lens of clinical translation along the clinical care continuum. Emerging areas are also highlighted, along with common challenges, evolving solutions, and potential future directions for the field.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
Inteligencia Artificial
/
Oncología Médica
/
Neoplasias
Límite:
Humans
Idioma:
En
Revista:
Cancer Discov
/
Cancer discov. (Online)
/
Cancer discovery (Online)
Año:
2024
Tipo del documento:
Article