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. 

Chat GPT

ChatGPT offers 'pretty amazing' recommendations on breast cancer screening, but oversight remains critical

A team of experts with the University of Maryland School of Medicine recently presented ChatGPT with a set of questions relative to breast cancer screening recommendations to determine whether the program could reliably offer appropriate guidance.

Point of Care Ultrasound POCUS Lungs

Specialized lung AI tool cleared for U.S. sales

A popular marketer of handheld ultrasound devices has won FDA approval for an AI-enabled B-line quantification tool for use with patients suspected of having compromised lung function.

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Radiologists develop point-of-care AI for chest X-rays

Radiologists used an AI tool-building platform to create their model(s), which allows clinicians the opportunity to develop AI models without any prior training in data sciences or computer programming. 

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FDA clears prostate AI for second indication

Radiology AI vendor Bot Image may market its prostate software not only for diagnosing cancer when suspected but also for performing prostate screenings.

Microsoft Johns Hopkins AI partnership

7 lessons learned during joint big business/healthcare AI projects

Big Tech players have been investing in partnerships with large healthcare providers on AI endeavors for several years now. According to both sides in one such collaboration, the resulting synergy offers “immense potential” to improve patient access, care and outcomes.

An overview of artificial intelligence (AI) in radiology with Keith Dreyer with the ACR. Images shows a COVID-19 lung CT scan reconstruction from Siemens Healthineers. #AI #radAI #ACR

Artificial intelligence shows promise in mitigating radiologist bias

AI clinical decision support was particularly popular among younger radiologists, experts wrote in Scientific Reports

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AI aids nonphysicians in obtaining diagnostic-quality ultrasound images in the ED

Registered nurses, NPs and EMTs bolstered the quality of their scans with the help of deep learning-based guidance.

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'Quite impressive': ChatGPT generates a nuclear medicine report

The generated report included indication, findings laid out numerically, TNM stage, impression and follow-up recommendations.