Precision Medicine

Also called personalized medicine, this evolving field makes use of an individual’s genes, lifestyle, environment and other factors to identify unique disease risks and guide treatment decision-making.
RSS icon
Thumbnail

Deep learning improves identification of adverse drug events from EHRs

Using a deep-learning model, a University of Massachusetts Lowell research team was able to significantly improve the extraction of adverse drug events (ADEs) from electronic health records (EHRs).

Thumbnail

Nova Vision CEO: AI equalizes quality between rural, urban areas of China

Jim Wang, chief executive officer of healthcare conglomerate Nova Vision Group, believes AI will help even the quality of healthcare between rural and urban parts of China, according to a report by CNBC.

Thumbnail

AI-powered health clinics open in Phoenix-area stores

AI-powered medical clinics will now be offered to shoppers at several Phoenix-area grocery stores in an effort to provide better access to healthcare.

NYU to release large-scale MRI dataset for AI project with Facebook

NYU Langone Health’s Department of Radiology is planning to release a large-scale dataset that includes more than 1.5 million MRI knee images in an ongoing effort to make MRI scans faster with AI.

Thumbnail

RSNA 2018: Researchers use AI to predict cancer survival, treatment response

After using deep learning on patient scans to track cancer evolution, one research team is hopeful the “promising results” can help improve treatment response and survival predictions for cancer patients.

Thumbnail

Philadelphia physician earns RSNA Margulis Award for AI research

A physician whose research produced promising results for using AI to improve the detection of tuberculosis (TB) was awarded the Alexander R. Margulis Award for Scientific Excellence during the annual RSNA conference in Chicago.

Thumbnail

AI predicts risk of ER admission

University of Oxford researchers were able to predict a patient’s risk of being admitted into emergency care by using machine-learning techniques with electronic health records (EHRs), according to a study published in PLOS Medicine.

Thumbnail

Deep-learning algorithm matches, outperforms radiologists in screening chest X-rays

A deep-learning algorithm was significantly faster and just as accurate as most radiologists in analyzing chest X-rays for several diseases, according to a study led by Stanford University researchers.

Displaying 985 - 992 of 3584

Around the web

Cardiovascular Business
Cardiologist compensation still rising, especially in invasive and interventional cardiology

Updated compensation data includes good news for multiple subspecialties. The new report also examines private equity's impact on employment models and how much male cardiologists earn compared to females.

Cardiovascular Business
FDA’s tirzepatide decision creates uncertainty for patients—and leads to a lawsuit

When drugs are on the FDA’s shortage list, outsourcing facilities can produce their own compounded versions. When the FDA removed tirzepatide from that list with no warning, it created a considerable amount of chaos both behind the scenes and in pharmacies all over the country. 

Cardiovascular Business
Cardiology groups cheer new bill that would improve access to Medicare claims data

If passed, this bill would help clinician-led clinical registries explore Medicare data for research purposes. The Society of Thoracic Surgeons and American College of Cardiology both shared public support for the bipartisan legislation. 

Design by Adaptive Theme
Trimed Popup
Trimed Popup