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A Child’s Language May Predict the Arrival of Depression and Anxiety Disorders Years Before Onset

By applying artificial intelligence (AI) techniques to interviews with children about early life stress, researchers identified linguistic features that predicted future depressive or anxiety disorders. In a National Institutes of Health (NIH)-funded study, scientists developed predictive models based on these features that could predict symptom onset and diagnosis up to six years later, surpassing estimates based on gold-standard risk indicators.

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New Alzheimer’s Blood Test May Tell When Symptoms Are Around the Corner

Small loops of genetic material may be strong indicators of imminent Alzheimer’s disease (AD) symptoms. In a National Institutes of Health (NIH)-funded study, researchers showed that elevated levels of certain circular RNAs (circRNAs) in the blood nearly tripled patients’ risk of developing symptoms, suggesting these molecules are more sensitive to symptom onset than traditional AD biomarkers.

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AMA Policies to Ensure AI Supports—Not Replaces—Physician Judgment

CHICAGO — Physicians and medical students at the Annual Meeting of the American Medical Association (AMA) House of Delegates adopted new policies to ensure AI strengthens patient care, supports evidence-based medicine, and remains under the oversight of physicians rather than replacing physician judgment. 

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AMA Urges Physician Protections Against AI Deepfake Impersonation

CHICAGO – Responding to the escalating risk of AI-manipulated images, videos and audio that impersonate physicians, the American Medical Association (AMA) today announced a new comprehensive policy framework to establish clear, enforceable protections for physicians against unauthorized AI-generated “deepfakes.”

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What is Super Doctors?
Super Doctors Magazine

Super Doctors identifies top doctors as selected by their peers and the independent research of MSP Communications. Please note: Doctors cannot pay to be included on Super Doctors® listings nor are they paid to provide input.

Super Doctors is published online and also in print as a special advertising section in leading newspapers and city and regional magazines.

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The Super Doctors Selection Process

In making selections for Super Doctors, MSP Communications employs a rigorous multi-step process designed to identify healthcare providers who have attained a high degree of peer recognition and professional achievement. Super Doctors is a selective yet diverse listing of outstanding doctors, representing consumer-oriented medical specialties.

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