Artificial intelligence (AI) is revolutionising global industries, including healthcare, where it is projected to reach a market value of nearly $188 billion by 2030. The imminent shortage of healthcare professionals, coupled with the needs of an aging population, makes AI pivotal in overcoming challenges. Integrating AI into diagnostic services expedites treatment decisions and enhances patient outcomes by supporting radiologists in analysing medical images swiftly and accurately. AI also addresses workforce burnout by automating administrative tasks, allowing clinicians to focus on patient care. Early disease detection, improved treatment development, and drug approval processes benefit from AI's data analysis capabilities. However, ethical concerns and potential biases necessitate ongoing collaboration between the healthcare industry, technology developers, policymakers, and global health organizations to ensure responsible AI implementation.
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