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Fiji’s Ambassador to the United States gave an “Award of Honor” to Dr. Lloyd Minor and Dr. VJ Periyakoil.

Stanford Medicine’s Longevity and Healthy Aging consortium had a wonderful annual celebration on 7/31/2024.

His Excellency Ratu Ilisoni Vuidreketi, Fiji’s Ambassador to the United States of America was the Chief Guest.  Dr. Lloyd Minor, Dean of Stanford University School of Medicine was the keynote speaker.

During this event, many direct care workers who completed a non-degree program called Longevity, HEalthspan Aging, Dementia, and End-of-life CaRe (LEADER) Program received their completion certificates from the Ambassador.

The LEADER program is the first of its kind and provides training to direct care workers in their preferred language. The trainees acquire knowledge and skills to help them advance longevity and healthy aging and engage patients and families in their healthcare. Training is provided in small groups and there is a strong focus on acquisition of practical skills that will help them improve ther care they provide to the patients they serve.

Recognizing the service provided by Stanford Longevity and Healthy Aging Consortium to the Fijian community, the Hon. Ratu Ilisoni Vuidreketi gave an Award of Honor to Dr. Minor and Dr. Periyakoil.

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Next-Generation Artificial Intelligence for Diagnosis: From Predicting Diagnostic Labels to "Wayfinding"

Julia Adler-Milstein, PhD1; Jonathan H. Chen, MD, PhD; Gurpreet Dhaliwal, MD

Improving the diagnostic process is a quality and safety priority.With the digitization of health records and rapid expansion of health data, the cognitive demand on the diagnostician has increased. The use of artificial intelligence (AI) to assist human cognition has the potential to reduce this demand and associated diagnostic errors. However, current AI tools have not realized this potential, due in part to the long-standing focus of these tools on predicting final diagnostic labels instead of helping clinicians navigate the dynamic refinement process of diagnosis. This Viewpoint highlights the importance of shifting the role of diagnostic AI from predicting labels to “wayfinding” (interpreting context and providing cues that guide the diagnostician).