healthcare

The Medical Protection Society is urging the UK government to reform product liability law, warning doctors risk becoming a “liability sink” for AI.

Anthropic, Microsoft, NVIDIA, and Lilly signal a shift toward regulated, workflow-native deployment.

The Promise and Peril of Artificial Intelligence in Healthcare

Ruth Porat highlights AlphaFold's protein mapping breakthrough and healthcare democratisation potential

Three organisations demonstrate improved patient outcomes and operational efficiency gains

Sofya deployed Llama models with knowledge distillation techniques, reducing provider documentation time by 30% while maintaining 90% customer satisfaction.

Meta's open-source AI models enable 26.8% higher cancer treatment prediction accuracy and reduce clinical trial matching from hundreds of days to just one day.

CurePharma AI developed a system using Llama models to scan prescriptions, translate medical info to local languages, and connect users to e-pharmacies

"AI turns black-and-white MRI scans into color 3D models, showing tumors in blue and veins in red, helping surgeons plan better cancer operations."

"ChatGPT-4 scored 92 in clinical reasoning vs physicians' 74-76. AI-assisted doctors completed diagnoses 1+ minute faster but showed no accuracy gains"

"While AI tools save time, human oversight remains essential. As AI-360 notes: 'HUMAN IN THE LOOP is very much ESSENTIAL in largely, every step.'"

"Studies found fabrications in 80% of public meetings, 50% of 100+ hours of audio, and nearly all 26,000 transcripts analyzed by developers"

"Research spans autonomous surgery systems, smart assistants for medical diagnosis/climate prediction, and AI-art integration for creative interpretation."

"Mila and SonoNurse partner to develop AI that validates medications pre-administration, combining deep learning with medical device expertise."

"29% of UK doctors use AI, but 70% lack AI training. Medicine and radiology show highest adoption rates, with most doctors seeking better preparation."