Leveraging AI in Maternal Health | Using Data to Tell a Story | Closing the Telemedicine Gap | Predicting Maternal Health Outcomes

On this episode, Daniela Gilet shares her journey from aspiring to practice medicine to becoming an artificial intelligence and machine learning enthusiast in healthcare. Growing up with limited career options, she found her path in health informatics, leading to a successful data career. Daniela's focus on maternal health stems from personal experiences with racial disparities, driving her to utilize data and technology to make a difference. Tune in to explore the intersection of AI and healthcare through Daniela's inspiring story.Timestamps(00:23) Daniela is passionate about using AI in healthcare and public health to solve complex problems.(04:56) AI can be used to detect diseases and disorders earlier, personalize treatments, and improve healthcare efficiency.(17:35) AI can be utilized as a co-pilot assistant to connect patients with providers in digital health.(27:02) Organizations can leverage predictive AI capabilities to identify patterns and predict outcomes in healthcare.(39:44) Daniela chose Loma Linda University for its incorporation of spirituality in education and aligning with her morals and principles.Host BioThis podcast is hosted by Sheree Dibiase, PT ICLM. She is a nationally recognized women's health physical therapist who owns seven private clinics — one of the biggest networks in the US. She has spent 30+ years practicing in the oncology, pelvic floor, and prenatal postpartum healthcare spaces. She was also a professor for seven years a Loma Linda University where she taught kinesiology. Brought to you by...https://lakecitypt.com/ - Women's health physical therapy. https://pelvicfloorpro.com/ - Pelvic floor physical therapy from home. KeywordsFemtech, Women's Health, Pelvic Floor, Breast Cancer, Prenatal & postpartum