
Paying for Clinical AI Without Bloating Budgets
Healthcare is funding clinical artificial intelligence through a broken payment system that rewards volume over value, threatening to spark an administrative arms race.
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Healthcare is funding clinical artificial intelligence through a broken payment system that rewards volume over value, threatening to spark an administrative arms race.

Treating drug development like a sports book introduces financial incentives that could compromise scientific integrity.

The rush to digitize GLP-1 prescribing is exposing a dangerous rift between venture-backed growth targets and basic clinical caution.

A new regulatory fast-track aims to end the endless cycle of localized pilot programs that keep medical technology from reaching patients.

Regulators are quietly raising the evidentiary bar for artificial intelligence in medicine, forcing developers to prove clinical value before they can get paid.

The UK is betting £75 million that algorithms can replace animals in drug safety trials, but the regulatory hurdles remain immense.

A Senate vote keeping an AI-driven Medicare pilot alive reveals a dangerous shift toward automated care denials.

A new benchmark reveals that today’s best artificial intelligence models only look safe in the clinic because they constantly cry wolf.

Medical AI models that ace static exams fall apart when an automated adversary starts asking hard questions.

The federal government is finally dismantling the outdated reimbursement models that treated digital algorithms like physical MRI machines.