The 72-Hour Promise
Newly released records from Medicare’s WISeR pilot show why AI-assisted prior authorization must be judged by timely, appropriate, completed care—not decision speed alone.
DermaSensor Review: What the FDA Cleared AI Skin Cancer Device Actually Tells a Doctor
DermaSensor is an FDA-authorized AI skin cancer assessment device for primary care. Review its cost, accuracy, melanoma sensitivity, specificity, and limits.
The AI Second Reader That Changed the Chart
A large liver-cancer study shows what happened after an AI system found overlooked lesions: reports changed, cases escalated, and care pathways moved—without yet proving better patient outcomes.
AI Can Export Mayo’s Intelligence. Can It Export Mayo’s Care?
A Mayo Clinic model may make elite medical reasoning available far beyond Rochester. But an answer is not the same thing as care—and an API cannot reorganize a hospital by…
Who Decides Which AI Is Good Enough for Medicine?
Sixty-three separate scoreboards grade medical AI. Several are built or maintained by companies with a stake in the results, the scores cannot be compared to each other, and the most…
The FDA’s New AI Experiment Asks a Better Question: Did the Patient Get Better?
The FDA and CMS are testing a new bridge from AI-enabled chronic-care technology to Medicare payment, real-world evidence, and measurable patient outcomes. The promise is real. The proof is not…
The Scan Found a Lung Nodule. Then the Hospital Had to Find the Patient.
A new emergency-department study shows where healthcare AI can matter: not simply spotting a signal, but helping a care team contact the patient and complete the next step.
The 95 Percent Warning: What Healthcare AI Must Learn From Prior Authorization Appeals
When nearly every appealed skilled-nursing denial is reversed, the lesson for healthcare AI is clear: authorization systems must be judged by completed care, not processing speed.
The New Race in Healthcare AI Is Not to Detect More. It Is to Finish the Job.
Healthcare AI is getting better at finding signals. The harder test is whether those signals turn into accountable action, completed care, and measured outcomes.
When AI Finds the Signal, Medicine Still Has to Finish the Job
The next serious test for healthcare AI is not whether it can notice something humans might miss. It is whether the health system can turn that notice into completed care.
