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.

Beware of temptations to commit 1 (or more) of the 7 deadly sins common to healthcare AI
Researchers warn of potential perdition—so to speak—for doing algorithmic medicine wrong in any of these easily avoidable ways.
Radiologist-AI combo has highest potential to improve pulmonary embolism detection, experts charge
In new Neiman Health Policy Institute research, scientists explored the use of artificial intelligence to aid in diagnosing PE on CTPA, with “AI-informed radiologists" scoring high marks.
AI uses 12-lead ECGs to predict long-term stroke risk
Stroke is still a leading cause of death all over the world. A new AI model showed early potential to anticipate such adverse outcomes up to a decade in advance, ensuring high-risk patients receive the care they need.
12 of the top technology vendors serving children’s hospitals
Epic makes the list with its enterprise inpatient EHR and related platforms. So does PCC, aka Physician’s Computer Company, which supplies pediatric-specific ambulatory EHR and practice-management products and services.
How to—and how not to—consult with ‘Dr. ChatGPT’ and its peers
Do: Use large-language AI to help analyze your specific symptoms. Don’t: Ask a chatbot if you should go to the emergency room.

Beware of temptations to commit 1 (or more) of the 7 deadly sins common to healthcare AI

Researchers warn of potential perdition—so to speak—for doing algorithmic medicine wrong in any of these easily avoidable ways.

Radiologist-AI combo has highest potential to improve pulmonary embolism detection, experts charge

In new Neiman Health Policy Institute research, scientists explored the use of artificial intelligence to aid in diagnosing PE on CTPA, with “AI-informed radiologists" scoring high marks.

AI healthcare doctor surgery procedure artificial intelligence

AI uses 12-lead ECGs to predict long-term stroke risk

Stroke is still a leading cause of death all over the world. A new AI model showed early potential to anticipate such adverse outcomes up to a decade in advance, ensuring high-risk patients receive the care they need.

12 of the top technology vendors serving children’s hospitals

Epic makes the list with its enterprise inpatient EHR and related platforms. So does PCC, aka Physician’s Computer Company, which supplies pediatric-specific ambulatory EHR and practice-management products and services.

How to—and how not to—consult with ‘Dr. ChatGPT’ and its peers

Do: Use large-language AI to help analyze your specific symptoms. Don’t: Ask a chatbot if you should go to the emergency room.

AI use in MRI-based prostate cancer screening remains limited

New findings question the use of artificial intelligence in these settings due to numerous shortcomings, including issues with overdetection and low specificity.

AI course-of-care notes help doctors, pose little risk of harm to patients

Agentic large-language models can draft hospital discharge summaries that are safe, useful and demonstrably effective at helping to curb physician burnout, according to research conducted at Stanford University.

insurance insurer payment claim denial reimbursement prior authorization

Large language models offer potential for helping appeal denied radiology claims

Although large language models produce appeals letters that are generally deemed useful by readers, they likely still require a babysitter, according to a new analysis.