What are the most significant AI use cases in healthcare that are already in live deployment?

Several significant AI use cases in healthcare are already in live deployment, focusing on patient interaction, administrative efficiency, diagnostics, and operational support. AI chatbots, such as OpenAI's ChatGPT Health, are revolutionizing patient queries by analyzing medical data, though they require professional oversight due to risks like inaccurate advice [1]. In diagnostics, conversational AI systems using large language models are deployed in real clinical environments for patient triage and medical evaluation, demonstrating performance comparable to clinicians in some tasks [7]. Administrative automation is another key area, with Amazon's AI-enabled platform streamlining healthcare tasks to improve patient care [5], and US insurers and hospitals using AI to settle claims and payments amid ongoing disputes [3]. AI is also entering surgical settings to enhance surgeons' skills, though early deployments have led to incidents like botched surgeries and misidentified body parts, highlighting the technology's transformative yet risky potential [2]. Hundreds of AI tools boasting over 90% accuracy are in use across healthcare, but their reliability decreases when integrated, underscoring deployment challenges [6]. Additionally, AI supports workforce management to address staffing shortages and burnout, with systems aiding in staffing and turnover predictions [8].