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The medical imaging market in Latin America is extremely competitive. To maintain their position in the market, the major players constantly implement different growth strategies.
These major players use a variety of growth strategies to succeed in the cutthroat market, including product launches, innovations, mergers and acquisitions, collaborations and partnerships, and intense R&D.
The major market players also maintain a constant R&D focus in order to offer industries the most effective and affordable solutions. For instance, Fujifilm Corporation offers a cutting-edge AI-based lung nodule detection system to its clients.
By spotting pulmonary nodules in CT scans of the chest, this technique assists in the diagnosis of lung cancer. Conversely, Canon Medical Systems Corporation also makes available .
Latin America medical imaging market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
In Latin America and the Caribbean, the IAEA and the Pan American Health Organization (PAHO) collaborate in the fields of radiation medicine (radiotherapy, radiology, and nuclear medicine), safety, and emergency response.
Joint initiatives concentrate on developing institutional and human resources in a variety of fields, including medical physics, radiation safety, cancer control, non-communicable diseases, environmental health, information and knowledge management, quality assurance, and radiation medicine.
In Latin America and the Caribbean, the IAEA and the Pan American Health Organization (PAHO) collaborate in the fields of radiation medicine (radiotherapy, radiology, and nuclear medicine), safety, and emergency response. Joint efforts centre on enhancing institutional and human capacity for quality assurance.
The University of West Indies (UWI) and the IAEA are collaborating to increase capacity in a number of fields, including radiology, nuclear medicine, radiotherapy, and the use of stable isotopes in nutrition. To the benefit of IAEA-CARICOM Member States, joint work includes enhancing current educational and training programmes in safety and medical physics.
Artificial intelligence (AI) has undergone significant technological advancement in recent years, raising expectations among radiologists, lawmakers, and healthcare professionals.
Machine learning (ML) techniques are being used to extract critical information from radiologic images, radiology reports, and tabular data in order to improve workflow, form more accurate diagnoses, increase efficiency, and decrease errors and costs. Clinical radiology is increasingly recognising AI as a game changer.
