Kaiser Permanente Northern California Division of Research’s Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI) Coordinating Center has granted funding to five healthcare organizations. These grants are supported by the Gordon and Betty Moore Foundation and offer up to $750,000 to each organization to investigate artificial intelligence (AI) and machine learning (ML) applications in enhancing diagnostic decision-making.
The AIM-HI initiative, which is focused on rigorously evaluating artificial intelligence and machine learning in healthcare, received over 120 applications covering different AI and ML applications, including predictive models and computer vision. The initiative, under the leadership of Dr. Vincent Liu, chose projects based on their innovative impact across various technologies and patient groups.
Announced Grant Recipients Advancing Artificial Intelligence and Machine Learning in Healthcare
The grant recipients are Dr. Cesar Termulo, Jr. from Parkland Health, focusing on pediatric asthma care in safety net health settings, Dr. David Ouyang from The Smidt Heart Institute at Cedars-Sinai Medical Center, specializing in identifying cardiac amyloidosis in diverse populations, Dr. Sivasubramanium Bhavani from Emory University, working on precision sepsis resuscitation, Dr. Fatima Munoz from San Ysidro Health, focusing on diabetic retinopathy screening, and Dr. Peter J. Embà from Vanderbilt University Medical Center, concentrating on AI-enabled diagnosis.
These projects, which will span three years, aim to advance AI and ML in healthcare. The AIM-HI Coordinating Center and Advisory Committee will provide support and share best practices. This initiative reflects Kaiser Permanente’s long-standing commitment to data-driven patient care and its vision to support diverse healthcare organizations in assessing AI and ML in different settings.
Advancing Artificial Intelligence and Machine Learning in Diverse Healthcare Research
The five funded projects cover a range of research topics, from pediatric asthma care in safety net health settings to AI-enabled diagnosis. With the funding and support from AIM-HI, these organizations will advance the application of AI and ML in their respective areas, contributing to the broader goal of enhancing diagnostic decision-making in healthcare.
This initiative by Kaiser Permanente is a testament to the organization’s commitment to data-driven patient care. By supporting diverse healthcare organizations in assessing the applications of AI and ML, they are contributing to the advancement of these technologies in various healthcare settings.
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