Turkish Hospitals Accelerate Clinical AI Adoption
Major Turkish healthcare providers are moving from pilots to broad deployment of clinical AI. Medicana hospital group is now using AI for clinical decision support, while Liv Hospital is promoting AI-driven tools in dentistry and diagnostics. This adoption is backed by strong academic research in fields like ophthalmology at Akdeniz University and Ankara City Hospital.
Turkey's AI in healthcare market is projected to surge from $60 million in 2022 to $1.12 billion by 2030, a compound annual growth rate of 45.72%. This growth is underpinned by rising healthcare demand and a shortage of medical professionals, creating a strong pull for AI-driven efficiency solutions. The Turkish government is actively fostering this growth through its National Artificial Intelligence Strategy (2021-2025), which aims for the AI sector to contribute 5% to the GDP. A key initiative is the "Digital Health Transformation Program," designed to implement electronic health records and AI-powered health apps nationwide. To fuel this, authorities plan a $10 billion venture fund by 2030 to support AI and data-centric startups. Beyond the hospitals mentioned, other major providers like Acıbadem Healthcare Group are also deploying AI, using it to enhance operational efficiency and patient safety through AI-powered video surveillance analytics for people counting and perimeter security. This signals a broader trend of adoption for both clinical and administrative functions across the sector. The local startup scene is producing a variety of vertical AI solutions. Companies like Hevi AI are developing tools for stroke and prostate cancer detection from medical images, while Healysense is creating decision support systems for acute pancreatitis and appendicitis. On the SaaS front, Istanbul-based startups like Bulutklinik offer cloud-based hospital management, and Traick provides an AI application for diagnosing thyroid nodules. Liv Hospital's application of AI in dentistry goes beyond diagnostics to create a comprehensive "Virtual Patient" or "digital twin." By merging data from CBCT scans, intraoral scanners, and facial scans, clinicians can simulate treatment outcomes, assess risks, and plan procedures with high precision before any intervention. Pattern recognition algorithms further assist by analyzing bone density to determine ideal implant positioning. A key strategic asset for Turkey is its national health database, e-Nabiz, which provides a vast repository of digitized health data collected over many years—a significant advantage for training AI models. However, experts warn that challenges remain in ensuring data quality, standardization between hospitals, and mitigating biases to prevent the amplification of diagnostic errors. Key investors are taking notice of the deeptech potential. Diffusion Capital Partners is one of the leading VC fund managers in Turkey with a focus on deep-tech, and has invested in multiple medical startups. Government bodies like KOSGEB and TÜBİTAK also provide significant grant and early-stage funding, signaling strong state support for commercializing university-led research and development.
