AI in US Healthcare: A Compass for Discovery and Cure

AI in US Healthcare: A Compass for Discovery and Cure Exploring how AI is transforming healthcare in the U.S.—from diagnostics to patient care.

Simple insights, updates, podcast series, brain health content, spiritual care and AI-focused medical videos for professionals, students, and curious learners.

08/28/2026

Brain Health Series Number 2 :Midbrain

08/21/2026

AI in emergency care/emergency medicine.

08/17/2026

Albert Eisntein and Abdominal Aortic Aneurysm #2026
#1955

08/15/2026

Machine learning is transforming oncologic radiology, but implementation is limited by insufficient annotated datasets and inconsistent reporting. Standardized terminology, improved data resources, and radiologist-generated annotations can enable robust adoption.

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08/12/2026

Brain Health Series 1: Hippocampus The hippocampus is one of the earliest and most severely affected brain regions in Alzheimer’s disease. It plays a crucial role in forming and retrieving memories. Alzheimer’s pathology, including amyloid plaques and tau tangles, damages hippocampal neurons, causing progressive memory loss and hippocampal shrinkage (atrophy).

08/09/2026

How can your video get viral?

08/06/2026

Gerontology Quiz

08/03/2026

A mnemonic isn't magic—it's neuroscience. Instead of forcing your brain to memorize isolated facts, a mnemonic creates meaningful associations, vivid images, and retrieval cues. These activate memory networks in the hippocampus and cortex, making information much easier to store and recall

08/01/2026

Artificial intelligence is transforming pancreatic cancer detection by analyzing medical images for subtle biomarkers invisible to the human eye. AI can identify high-risk individuals before symptoms appear, offering hope for earlier diagnosis and improved survival. Although challenges remain, ongoing research and larger datasets are bringing AI closer to routine clinical practice.

07/31/2026

AI could help detect cognitive changes in older adults earlier, but technology must be guided by strong ethics. This research highlights the importance of explainable AI, privacy, fairness, accountability, and patient autonomy. AI should support clinicians—not replace them—while protecting dignity, rights, and quality of care.

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