Portal de investigação
Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges
Data de publicação:
Data Ahead of Print:
Autores da FMUP
Participantes de fora da FMUP
- Silva, F
- Pereira, T
- Neves, I
- Morgado, J
- Malafaia, M
- Sousa, J
- Fonseca, J
- Negrao, E
- de Lima, BF
- da Silva, MC
- Madureira, A.
- Ramos, I
- Costa, JL
- Cunha, A
- Oliveira, HP
Unidades de investigação
Abstract
Advancements in the development of computer-aided decision (CAD) systems for clinical routines provide unquestionable benefits in connecting human medical expertise with machine intelligence, to achieve better quality healthcare. Considering the large number of incidences and mortality numbers associated with lung cancer, there is a need for the most accurate clinical procedures; thus, the possibility of using artificial intelligence (AI) tools for decision support is becoming a closer reality. At any stage of the lung cancer clinical pathway, specific obstacles are identified and "motivate" the application of innovative AI solutions. This work provides a comprehensive review of the most recent research dedicated toward the development of CAD tools using computed tomography images for lung cancer-related tasks. We discuss the major challenges and provide critical perspectives on future directions. Although we focus on lung cancer in this review, we also provide a more clear definition of the path used to integrate AI in healthcare, emphasizing fundamental research points that are crucial for overcoming current barriers.
Dados da publicação
- ISSN/ISSNe:
- 2075-4426, 2075-4426
- Tipo:
- Article
- Páginas:
- 480-
- DOI:
- 10.3390/jpm12030480
- Link para outro recurso:
- www.scopus.com
Journal of Personalized Medicine Multidisciplinary Digital Publishing Institute (MDPI)
Citações Recebidas na Web of Science: 16
Citações Recebidas na Scopus: 27
Documentos
- Não há documentos
Filiações
Keywords
- computer-aided decision; learning models; CT scan; lung cancer
Campos de estudo
Financiamento
Proyectos asociados
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Investigador Principal: Venceslau José Coelho Pinto Hespanhol
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Citar a publicação
Silva F,Pereira T,Neves I,Morgado J,Freitas C,Malafaia M,Sousa J,Fonseca J,Negrao E,de Lima BF,da MC,Madureira A,Ramos I,Costa JL,Hespanhol V,Cunha A,Oliveira HP. Towards Machine Learning-Aided Lung Cancer Clinical Routines: Approaches and Open Challenges. J. Pers. Med. 2022. 12. (3):p. 480-480. IF:3,508. (2).
