Patients who have difficulty accessing mental health care in person will have more options for connecting with telehealth providers. Lauren Neal Principal, Data Science • As AI and machine learning (ML) continue to make • Telemedicine will be used to bridge gaps in care, rapid progress, the number of AI- and ML-enabled expanding access and increasing care delivery to under- medical devices being developed and approved for served communities. More specifically, telemedicine will use by the FDA and other regulatory bodies will extend mental health services and improve adherence to increase. Use cases for these devices will expand from medication and therapy by removing barriers to engage- radiology into other areas, including oncology and car- ment. Patients who have difficulty accessing mental diology. At the same time, more devices will incorporate health care in person will have more options for connect- learning algorithms, fostering the evolution of device ing with telehealth providers, leading to higher-quality software over time, and regulatory agencies will need to care and fewer hospitalizations. Combining telemedicine adopt new surveillance processes for evaluating device with remote patient monitoring will allow providers to performance. manage chronic conditions and reduce costs. • The health care use cases for digital twins will grow, including clinical trials, hospital operations, and disease modeling. In the case of clinical trials, researchers will use digital twins to reduce the number of patients in placebo groups and increase study diversity, thereby low- ering recruitment costs and accelerating time to approv- al. Scientists will also use digital twins to predict how individual patients will respond to treatment through the use of deep phenotyping, which compiles health records, genomic data, and other data sources.