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In late 2022, the AI landscape experienced a seismic shift with the public release of OpenAI’s ChatGPT, a large language model (LLM). Other leading LLMs like Google’s Gemini, Anthropic’s Claude, and Meta’s LLaMA quickly followed, each showing the power of these models. They captured the public’s attention and intrigued the C-suites of healthcare companies, who began discussing the art of the possible. These products and the public reaction firmly put a spotlight on generative AI technology such as LLMs. Learn more about why those of us in healthcare should be excited about generative AI.

This three-part blog series describes how artificial intelligence (AI) and machine learning (ML) are advancing focused ultrasound and driving results.

The integration of AI/ML techniques into the field of focused ultrasound is advancing rapidly, with the universal goal of enhancing treatment efficacy in the clinic. A review of numerous studies combining AI/ML with focused ultrasound reveals that these techniques are particularly valuable in several areas, including ultrasound image denoising, patient selection and treatment planning, treatment monitoring and image analysis, and treatment assessment and outcome prediction. This blog provides overviews of each area and related links for those who would like to learn more. 

The Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs are US government programs that provide critical funding to expedite research and development (R&D). Between 1985 and 2022, these programs provided more than $40 million dollars for small businesses seeking funding to develop innovations in focused ultrasound technology.