Google is working on AI for ultrasound diagnosis and cancer therapy
healthcare event, it announced AI-related partnerships for ultrasound readings, medical language models and cancer treatments — areas where the technology could someday serve as a force for good.
Google sees AI as crucial in reading ultrasound devices in regions without enough trained specialists. Although the sensors are more accessible than ever, they require experts to conduct exams and interpret images. The company’s AI models could help simplify that process by identifying data like the early detection of breast cancer and gestational age in expectant mothers.
The company is also working with Chang Gung Memorial Hospital in Taiwan to research how AI can detect breast cancer via ultrasound as an alternative to mammograms, which have limited availability in lower-resource regions. Mammograms can also be less effective in populations with higher breast density. In other areas, Google says its medical-focused large language model has improved significantly.
Google has also partnered with Mayo Clinic to explore AI’s part in planning radiotherapy for cancer treatment. The research focuses on reducing the tedious and time-consuming steps of the radiotherapy process — most notably, “contouring.” This technique requires clinicians to draw lines on CT scans to separate cancerous areas from nearby healthy tissues that the radiation could damage, a process that can take up to seven hours for one patient.
Finally, Google sees AI as helping with chest x-ray screening for tuberculosis. The company is partnering with an AI-based organization to make AI-powered TB screenings widely available in Sub-Saharan Africa. Its partners have committed to donating 100,000 free screenings to help detect tuberculosis early and provide early treatment to reduce its spread.
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