The journal of Artificial Intelligence In Oncology (AIO), established in 2017, serves as a new forum for the publication of academic and industry-related papers in the field of AI and its application in medical oncology and basic cancer research. The journal is particularly interested in publishing conceptualization and complementing of AI algorithms and reasoning that will promote the application of AI in facilitating the diagnosis and predicting prognosis of malignancies. 

The inherent complexity of human malignancies calls for the development of new cutting-edge technologies, concepts and methods that will eventually be applied in the diagnosis and treatment of cancer patients. The journal of Artificial Intelligence in Oncology (AIO) is established to provide the unmet academic requirements in publication, evaluation, and quality control of AI's applications medical oncology. 

Aims and Scope 

Artificial Intelligence in Oncology covers a broad area related with the application of artificial intelligence in cancer management. Particular attention is given to manuscripts pertaining to:

  • AI-based cancer diagnosis;
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  • AI-based design of treatment plans;
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  • Data-mining and algorithms of cancer epidemiology;
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  • AI-based analysis of genomics;
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  • Data mining of genomics;
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  • Agent-based systems and application in medical oncology;
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  • AI-based evaluation of bio-markers;
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  • Conceptualization of AI methodologies in oncology;
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  • AI-based diagnosis and case studies;
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  • Machine learning and cancer patient care;
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  • Automated patient-machine interface;
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  • Automated positron emission tomography/ computed tomography (PET/CT) contouring;
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  • Automated evidence-based chemo-/radio-dosage suggestions;
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  • Automated radiation prescription;
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  • Automated PET/CT/MRI image analysis

 

Application of artificial intelligence in cancer patient care during COVID-19 pandemic

 

AI issued the first alert of COVID-19. Reports from Science indicated that HealthMap, a social medial-scanning system developed by Boston Children’s Hospital,  reported a new type of pneumonia at 30 December 2019 via the data mining...

 

10 projects funded in the MIT-IBM Watson AI Lab for research on AI application in early detection of COVID19-related sepsis, drug-repurposing, vaccine development, automated contact tracing, and more...

 

Call for papers: Application of Artificial Intelligence during COVID-19 Pandemic for better patient care. FREE of charges for all types of manuscripts (articles, case reports, pespectives) submitted to AIO. Rapid review speed and online publication. 

 

A review paer by Ather et al. provided a systemic overview of the application of AI in pulmonary node's detection, classification, and monitoring...