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. 

paramedic ems

5 signals EMS is ripe and ready for AI

Emergency medical services are there when you need them. Yet they barely come up in healthcare strategy discussions. AI could help change that. 

money cybersecurity ransomware health IT data breach hacker

Number of healthcare organizations that lost over $200K from data breaches rises 400%

The data comes from a new report by cybersecurity firm Netwrix, which found that healthcare continues to outpace other sectors in both number of breaches and associated financial losses.

Robin the Robot from Expper Technologies

Robin the Robot serves up smiles at nursing homes, children’s hospitals

The AI-powered device is helping alleviate staff shortages by making rounds and checking on patients. 

Mayo Clinic's AI Nurse Virtual Assistant

Mayo Clinic debuts its AI-powered virtual nursing assistant

The nonprofit health system said the new tool has been in development since 2024 and is currently being used by thousands of nurses at its hospitals. The generative AI pulls information from disparate systems into one place, including patient records and care protocols. 

artificial intelligence healthcare industry digest

Are LLMs ready for radiology? Research reveals how chatbots' performance has evolved over time

Large language models have shown great potential in medical imaging, but their success has been hindered by their wavering effectiveness. Now, nearly three years after ChatGPT's release, experts are sharing new insights. 

healthcare AI regulation

Healthcare AI today: Another angle on AI regulation, move fast but don’t break things, WISeR in the real world, more

Getting healthcare AI to fulfill its destiny—can we call it that now?—will require ‘scenario-based’ consideration of every use case.

older adults technology

Lit review identifies a ‘glaring gap’ involving older Americans and healthcare AI

Conventional wisdom has it that older adults willingly lag behind younger subpopulations when it comes to reaping the benefits of emerging healthcare technologies, including AI. 

AI model reduces false positives on lung cancer CT scans

AI model nearly halves false positive rates for lung cancer CT screenings

Reducing false positives could decrease the frequency of unnecessary procedures, lower the associated costs and also ease patient anxiety concerning CT results.