# AI applications in science, medicine, and global development > Live situation record from CLSTR: https://clstr.news/situations/artificial-intelligence-applications-in-science-and-medicine > Updated: 2026-10-23T22:16:26.000Z. Sources: 129. Developments: 4. Artificial intelligence continues to expand its utility across scientific research, predictive forecasting, and healthcare management. In scientific fields, AI is moving beyond basic queries to perform complex tasks such as searching literature and analyzing massive datasets. In predictive forecasting, AI models from startups like FutureSearch and Preseen are beginning to rival or outperform human ‘superforecasters’ in areas like stock markets and global events. In the medical sector, AI is being applied to optimize administrative tasks and advance preventive medicine. Diagnostic capabilities are expanding through medical imaging; the AI-based medical imaging market is projected to grow at a CAGR of over 30% through 2030. However, some economists have begun to question the tangible financial returns for non-tech corporations regarding these advancements. Integration has raised concerns regarding medical education and academic integrity. In Greece, experts from the National and Kapodistrian University of Athens have warned of ‘never-skilling,’ where heavy reliance on AI might prevent new doctors from developing essential independent clinical reasoning. Simultaneously, educational institutions are reassessing teaching and evaluation methods to account for generative AI’s ability to automate traditional academic tasks. Economic and geopolitical dimensions are also evolving. While global AI spending is projected to reach USD 2.5 trillion by 2026, the industry faces significant infrastructure headwinds. Wärtsilä has warned of a ‘speed to powerless’ scenario, where the expansion of AI data centers outpaces the development of reliable electrical infrastructure. This is exacerbated by transmission restrictions and equipment delays; for instance, approximately 2,600 GW of generation and storage capacity remained pending connection in the United States at the end of 2025. Additionally, Tomas Lamanauskas of the International Telecommunication Union (ITU) has cautioned that an ‘opportunity divide’ could deepen socioeconomic inequalities, noting that Africa and Latin America combined account for only 3.3 percent of global data center capacity. ## Claims - Africa and Latin America together account for just 3.3 percent of global data center capacity. (corroborated by 4 sources) - Tomas Lamanauskas warned that the AI divide could deepen socioeconomic inequalities. (corroborated by 4 sources) - The UN Development Programme (UNDP) cautioned that AI could reverse progress in narrowing economic disparities between nations. (corroborated by 4 sources) - AI is used to analyze medical images like X-rays, CT scans, and MRIs. (corroborated by 2 sources) - AI can automate administrative tasks such as clinical note documentation. (corroborated by 2 sources) - Global data center electricity consumption is projected to rise from 485 terawatt-hours in 2025 to 950 terawatt-hours by 2030. (corroborated by 2 sources) - Peru uses AI-equipped X-ray machines to assist in tuberculosis detection. (single source) - There are plans to integrate AI into telemammography for breast cancer identification. (single source) - The International Monetary Fund states AI can improve working conditions in informal economies. (single source) - The global AI-based medical imaging market is expected to grow at a CAGR of over 30% from 2026 to 2030. (single source) - The value of AI-enabling goods traded worldwide rose to USD 3.8 trillion in 2025. (single source) - The UNIDIR warned that AI in military operations reduces the margin for human intervention. (single source) ## Timeline ### 2026-10-23: Global AI trends face infrastructure, inequality, and energy risks Experts warn that AI expansion faces critical hurdles, including a widening global opportunity divide, energy infrastructure shortages, and questions regarding long-term corporate profitability. 112 sources. https://clstr.news/cluster/artificial-intelligence-integration-in-medicine-and-global-development ### 2026-10-23: Artificial Intelligence impacts medical training and commerce in Greece AI is reshaping Greek society, posing risks of ‘never-skilling’ in medical education while driving the rise of Agentic Commerce and digital payments in the financial sector. 7 sources. https://clstr.news/cluster/artificial-intelligence-impacts-medical-training-and-commerce-in-greece ### 2026-10-10: Artificial intelligence to transform medical records and preventive care Artificial intelligence is set to revolutionize healthcare by optimizing medical record documentation and enabling advanced preventive medicine through early disease detection. 9 sources. https://clstr.news/cluster/artificial-intelligence-to-transform-medical-records-and-preventive-care ### 2026-10-10: Artificial intelligence advances in scientific research and predictive forecasting AI is advancing from basic assistance to performing complex scientific research and outperforming human experts in predictive forecasting for markets and global events. 2 sources. https://clstr.news/cluster/artificial-intelligence-advances-in-scientific-research-and-predictive-forecasting --- Cite as: AI applications in science, medicine, and global development. CLSTR, https://clstr.news/situations/artificial-intelligence-applications-in-science-and-medicine