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Artificial Intelligence (AI) has made significant strides due to advancements in processing algorithms and data availability. Recent years have shown a resurgence in AI, driven by breakthroughs in deep machine learning. AI has attracted particular interest in the medical sector, especially in the field of personalized medicine, which for example uses large-scale genomic and molecular data to predict individual patient treatment responses. The applications of AI in disease diagnosis, monitoring, and treatment are expanding rapidly, leading to a growing number of registered trials. Therefore, this study aimed to identify and evaluate clinical trials registered between January 1st 2016, and September 30th 2023 that connect AI and cancer. Our findings show that the number of clinical trials linking AI with cancer research has grown significantly compared to other diseases, with colorectal and breast tumour types showing the highest number of registered trials. The most frequent intervention was disease diagnosis and monitoring. Regarding countries, China and the United States hold the highest numbers of registered trials. In conclusion, oncology is a field with a great interest in AI, where the developed countries are leading the studies in this field. Unfortunately, developing countries are still crawling in this aspect and government policies should be made to improve that area., Competing Interests: Declaration of Competing Interest The authors declare no known competing financial interests or personal relationships that could have influenced the work carried out in this study., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Brazil is a country of continental dimensions with great potential for the development of clinical studies across the whole territory to tackle the needs of the population. It is therefore important to obtain the national profile of clinical trials in order to identify local strengths and weaknesses in terms of productivity and study application. Thus, this paper aims to highlight the profiles of clinical studies on cancer developed and sponsored by hospitals, institutes, universities and international institutions in Brazil between 1997 and 2015., Methods: This is a retrospective and analytical study in which the content analysis method of Laurence Bardin was used. Data were collected from the clinicaltrials.govdatabase, where 783 clinical studies on cancer prevention, diagnosis and treatment were found; 188 (24 %) of these corresponded to national initiatives and 595 (76 %) to international initiatives., Results: The results show an increase in the number of national clinical studies, in particular phase III studies. There is a clear absence of national clinical studies focusing on the development of new chemical and biotechnological products in oncology., Conclusion: The results indicate a regional imbalance in the distribution of national and international clinical trials., Policy Summary: The present study aims to improve understanding of the profile of clinical studies registered in Brazil and to draw attention to the improvements needed in the health sector's productivity to address the national demand., (Copyright © 2021 Elsevier Ltd. All rights reserved.)