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.

AI model gets helpful heart assessments out of nongated CT scans
"Using AI for tasks like CAC detection can help shift medicine from a reactive approach to the proactive prevention of disease," one researcher said.
Led by notable names in radiology, imaging AI firm HOPPR raises nearly $32M
Founded in 2019 and based in Chicago, the vendor offers a “leading” infrastructure platform for building, refining and deploying large-scale AI models in medical imaging.
Healthcare AI today: Dangerous LLMs, self-training AI—and is AI good for what ails healthcare?
If an individual is at all susceptible to mental unwellness, overuse of a talkative LLM could push him or her over the edge. Maybe literally.
Could the metaverse be the new radiology education classroom?
According to new data, the simulated virtual environment may be just as effective of a setting as the classroom for problem-based learning.
ChatGPT's medical advice may be deterring women from necessary imaging
The LLM’s responses may be misleading in certain situations, which could pose problems for patients who trust the medical advice it provides.

Commercial PE-detecting algorithm identifies incidental clots on CT

Experts involved in the study, which analyzed more than 3,000 CT scans, suggested that there could be a future role for the algorithm to assist radiologists in busy settings.

Aidoc announces strategic hospital partnership that will advance AI in clinical settings

The software will be used for the triage and notification of intracranial hemorrhage (ICH), pulmonary embolism (PE) and c-spine fractures identified on CT imaging.

AI Eko smart stethoscope machine learning heart murmurs adult pediatric patients FDA clearance

FDA clears Eko’s latest AI model for heart murmurs

The algorithm works with Eko's smart stethoscopes to help physicians identify and diagnose structural heart murmurs.

AI/radiologist combo improves breast cancer detection, decreases workloads

The new two-part AI system is based on a decision-referral approach and triages mammograms based on quantification of uncertainty.

AI boosts accuracy when discriminating between malignant and benign ovarian tumors on MRI

Out of three trained and tested models that incorporated varying features, the model that combined clinical and radiomics features to predict malignancy exceeded the others in accuracy, precision and sensitivity.

KardiaBand outperforms Apple Watch in diagnosing AFib, but a cardiologist’s perspective is still crucial

The study's authors noted that the ECG acquisition technology in these wearable devices appears to be quite effective. The automated algorithms, however, could still be improved.

differentiating between malignant and vaccine-related lymphadenopathy

AI model outperforms rads at distinguishing malignant from reactive lymph nodes on US

“Visual techniques are not enough to correctly classify nodes in patients after COVID-19 vaccination,” experts shared in EJR.

A narrow miss for AI trained to find pacemakers on X-rays for MRI safety

A convolutional neural network has achieved 99.67% accuracy at flagging the presence of pacemakers on chest radiographs in patients referred for MRI.

Artificial Intelligence

AI model gets helpful heart assessments out of nongated CT scans

Led by notable names in radiology, imaging AI firm HOPPR raises nearly $32M

Healthcare AI today: Dangerous LLMs, self-training AI—and is AI good for what ails healthcare?

Could the metaverse be the new radiology education classroom?

ChatGPT's medical advice may be deterring women from necessary imaging