Artificial intelligence and machine learning applications in abdominal tuberculosis diagnosis: A scoping review and translational roadmap

Figure 5 Four-phase translational roadmap for artificial intelligence and machine learning applications in abdominal tuberculosis. This roadmap prioritizes microbiological reference standards, low-income and middle-income countries leadership, equity, and integration with existing national frameworks (e.g., Indian Council of Medical Research, standard treatment workflow). MI-CLAIM: Minimum Information about Clinical Artificial Intelligence Modeling; HIV: Human immunodeficiency virus; LMIC: Low-income and middle-income countries; AI: Artificial intelligence; CDSCO: Central Drugs Standard Control Organization; FDA: Food and Drug Administration; CE: Conformité Européenne; STW: Standard treatment workflow; NTEP: National Tuberculosis Elimination Programme; WHO: World Health Organization.