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.

Imaging-guided surgery startup Method AI raises $20M in Series A financing
Founded in 2021 as a spinoff of the Cleveland Clinic, its platform leverages continuous 3D ultrasound and AI-generated surgical plans to guide robotic-assisted procedures.
Healthcare AI today: 95% fail rate, epic at Epic, AI to the rescue of short staffs, more
Most organizations trying out generative AI—a full 95%—are failing to receive a measurable return on the pilot investment.
Johns Hopkins researchers: Time is running out to leverage AI for patients beyond a certain age
If three sticking points aren’t unstuck soon, older Americans won’t benefit much by the 1,000+ medical devices that, as of 2025, are both equipped with AI and cleared by the FDA.
UnitedHealth forms ‘public responsibility committee’ to improve its reputation
The insurance giant is charging the new board committee with monitoring company policies related to prior authorizations, claims adjudication and AI. The group is scheduled to meet four times a year.
Former US surgeon general joins Eko as medical advisor
"Eko is transforming how we detect cardiovascular disease—making cutting-edge, AI-powered tools accessible to frontline providers," said former U.S. Surgeon General Jerome Adams, MD.

AI distinguishes false-positive mammograms from malignant, negative mammograms

Artificial intelligence (AI) can help radiologists distinguish false-positive mammograms from malignant and negative mammograms, according to new research published in Clinical Cancer Research.

AI accurately distinguishes between false-positive, malignant, negative mammograms

Deep learning may accurately identify false-positive mammograms and distinguish such from images identified as malignant or negative, according to new research published Oct. 11 in the journal Clinical Cancer Research.

AI can help non-radiologists diagnose pediatric elbow fractures

A team of California researchers used a deep convolutional neural network (DCNN) to accurately diagnose traumatic pediatric elbow joint diffusion, according to an Oct. 9 study published in the American Journal of Roentgenology.

Companies hope to use AI for early detection of Parkinson’s

Multinational investment holding conglomerate Tencent and healthcare firm Medopad are partnering to train systems to use artificial intelligence (AI) to provide better diagnoses of Parkinson’s disease, according to a report by VentureBeat.

ESR and GE Healthcare announce AI partnership for ECR 2019

The European Society of Radiology (ESR) and GE Healthcare have announced a new partnership focused on artificial intelligence (AI) for the European Congress of Radiology (ECR) 2019 in Vienna, Austria.

AI could predict risk of Alzheimer’s on MRI 5 years before symptoms emerge

A new artificial intelligence (AI) algorithm developed by Canadian researchers can detect evidence of cognitive decline in brain MRI scans, genetics and clinical data, and may predict whether findings will lead to Alzheimer’s disease five years before symptoms appear.

‘Only the beginning’: AI algorithm shows promise for predicting CVD on a budget

A machine learning tool developed by researchers at Michigan State University can accurately predict an individual’s height within an inch and may offer more precise CVD and cancer risk assessment in the future, according to a report featured this month in Genetics.

Brain scans, AI evaluate surgeons’ response to stress, learning new skills

Determining how highly specialized surgeons and physicians learn new skills or respond to a stressful situation may be unveiled with recently published neuroimaging research, the Wall Street Journal reported on Oct. 3.

Artificial Intelligence

Imaging-guided surgery startup Method AI raises $20M in Series A financing

Healthcare AI today: 95% fail rate, epic at Epic, AI to the rescue of short staffs, more

Johns Hopkins researchers: Time is running out to leverage AI for patients beyond a certain age

UnitedHealth forms ‘public responsibility committee’ to improve its reputation

Former US surgeon general joins Eko as medical advisor