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.

Healthcare AI today: Billions for AI-based biotech, fast ROI or else, AI for imprisoned patients, more
The Zuckerbergs have many billions to give away. They want to shower a lot of it on researchers using AI to cure diseases.
California chooses Innovaccer's AI to improve Medicaid outcomes for vulnerable populations
The company will analyze claims data from over 2 million people enrolled in Medi-Cal. The data will be used for compliance reporting and to improve patient care coordination.
Monitoring, reimbursement and transparency—ACR offers White House recs for AI regulation
ACR’s input is included as part of America’s AI Action Plan, which was created to help implement emerging AI technologies into everyday workflows.
Popular LLMs confidently fail at answering image-based board questions
Updated large language models have been trained to process both text- and image-based questions, potentially making them more effective in radiology settings.
Nvidia rolls out AI models designed to behave like radiologists interpreting images
The global artifical intelligence leader collaborated with the NIH, Children’s Hospital of Philadelphia, and VinBrain to create the new chain-of-thought dataset.

Healthcare AI today: Billions for AI-based biotech, fast ROI or else, AI for imprisoned patients, more

The Zuckerbergs have many billions to give away. They want to shower a lot of it on researchers using AI to cure diseases.

California chooses Innovaccer's AI to improve Medicaid outcomes for vulnerable populations

The company will analyze claims data from over 2 million people enrolled in Medi-Cal. The data will be used for compliance reporting and to improve patient care coordination.

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Monitoring, reimbursement and transparency—ACR offers White House recs for AI regulation

ACR’s input is included as part of America’s AI Action Plan, which was created to help implement emerging AI technologies into everyday workflows.

doctor wrong patient wrong-site surgery medical error malpractice mistake

Updated large language models have been trained to process both text- and image-based questions, potentially making them more effective in radiology settings.

Nvidia rolls out AI models designed to behave like radiologists interpreting images

The global artifical intelligence leader collaborated with the NIH, Children’s Hospital of Philadelphia, and VinBrain to create the new chain-of-thought dataset.

Mallinckrodt Institute of Radiology to open center for advancing AI-based imaging tools

The Center for Computational and AI-enabled Imaging Sciences will bring together talent from WashU’s respected medical and engineering programs.

Healthcare AI today: Docs and clerks, talk therapy renewed, Dr. AI vs. Dr. Google, more

Not long ago, physicians and grocery clerks had a key duty in common: ‘connective labor.’ Today barcode reading machines sweep you through the checkout. And AI can handle most of your health questions.

Healthcare AI today: Rusty clinical skills, AI growing up so fast, AI for the malnourished

Clinicians who come to rely on AI for decision support risk the dulling of their skills. The concern is not new. But now comes a pointed call to researchers: Inquire about the particulars of the peril.