Artificial Intelligence

Artificial intelligence (AI) is becoming a crucial component of healthcare to help augment physicians and make them more efficient. In medical imaging, it is helping radiologists more efficiently manage PACS worklists, enable structured reporting, auto detect injuries and diseases, and to pull in relevant prior exams and patient data. In cardiology, AI is helping automate tasks and measurements on imaging and in reporting systems, guides novice echo users to improve imaging and accuracy, and can risk stratify patients. AI includes deep learning algorithms, machine learning, computer-aided detection (CAD) systems, and convolutional neural networks. 

generative AI confidence business

GenAI adopters tentative now but confident soon: Survey

GenAI initiatives are complex and—in some cases—costly. “As such, the main rationale for pursuing them needs to be business growth, not workforce reductions.” 

Consumers nudge providers to improve patient engagement—personally and digitally

The authors of the survey report note that AI tools mentioned by respondents run the gamut from automated appointment reminders to dynamic “care gap” messaging. 

doctor wrong patient wrong-site surgery medical error malpractice mistake

Not all radiologists are buying what AI is selling, even when the technology outperforms humans

Providers are up to three times more likely to trust the opinion of humans over AI, even when the algorithm is proven to detect more cancerous lesions than radiologists. 

artificial intelligence AI guy healthcare

Healthcare AI newswatch: Silent AI threats, overeager clinical AI, trustworthy AI therapists, more

Some AI decision-support models have a proclivity for recommending aggressive care pathways. And doing so on the basis of patient demographics, not medical necessity.

patient consultation with doctor ambient AI

Ambient scribe technology all the rage despite uneven interest and ‘still imperfect’ performance

As applications of AI spread rapidly across healthcare, ambient scribes are poised to become one of the fastest technology adoptions in the history of the sector. 

AI spots contralateral cancer post-mastectomy

AI ups breast cancer detection post-mastectomy

Even with thorough treatment and surgery, women with a personal history of breast cancer are at increased risk of developing second cancers in the future. 

Multiple sclerosis ribbon MS

AI tool has 'untapped potential' for diagnosing and managing multiple sclerosis

The tool extracts brain region and white matter lesion volumes from any MRI of the brain, even less specialized sequences not traditionally used in the diagnosis or management of MS. 

starfish heart monitor

Starfish-shaped heart monitors use AI to deliver accurate results

Researchers have taken inspiration from starfish to design an AI-powered wearable device that delivers accurate real-time heart monitoring.