Hospitals Adopt AI Without Testing It First
Health systems are rushing to deploy artificial intelligence while lacking the basic infrastructure to verify if these tools actually work safely.
Glucagon-like peptide-1 receptor agonist initiation and risk of clinically recorded Alzheimer’s disease-type dementia in older adults with type 2 diabetes: a target trial emulation using causal machine learning
New data suggests popular weight-loss and diabetes drugs might buy older patients a few precious months of cognitive health, but only if doctors target the right individuals.
AI Chatbots Are Training on Real Therapy Sessions
Virtual mental health platforms are racing to deploy AI chatbots trained on real clinical conversations, forcing a high-stakes experiment on vulnerable patients.
Causal AI predicts IVF live birth success
Predicting IVF success is usually a guessing game of correlations, but adding causal math to machine learning finally tells clinicians which patient habits to actually change.
Britain’s Race to Save Its Biotech Sector
A new national strategy warns that Britain is falling behind the US and China in clinical AI adoption.
AI screens 200,000 medical papers for pennies
A new AI screening agent slashed the workload of medical meta-analyses by over 99 percent, proving that algorithms can find needle-in-a-haystack medical studies faster and cheaper than humans.
FDA Approves Self-Updating Cancer Planning AI
Regulators are finally letting medical AI evolve without forcing developers to restart the bureaucratic clock.
A radiomics-based machine learning model for the preoperative differentiation of lung adenocarcinoma subtypes
A new multimodal AI model can classify lung adenocarcinoma subtypes from CT scans before a surgeon ever makes an incision.
FDA Clears AI Upgrade for Philips Ultrasounds
Automating routine measurements could finally solve the crippling bottleneck in diagnostic imaging.
AI predicts liver cancer blood vessel invasion
A new machine learning model predicts microvascular invasion in liver cancer patients before surgery, but its dropping accuracy in external hospitals reveals the persistent challenge of clinical AI translation.