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 helps discern patients' need for supplemental breast imaging
New findings support the routine use of deep learning-based risk assessments, as this method can decrease subjectivity, reduce unnecessary imaging and improve diagnostic accuracy.
AHA launches three-year initiative to scale AI and telehealth adoption at hospitals
The American Hospital Association is working with the West Health Institute throughout the duration of the program, which will give health systems access to a digital platform packed full of resources to support technology upgrades.
New ways to predict TAVR outcomes for individual heart patients
As TAVR continues to gain popularity, researchers remain focused on discovering new ways to predict short- and long-term outcomes. One recent study, for example, explored the potential of AI-enabled imaging assessments. Another analysis focused on the CALLY index.
Race tightens between cybersecurity pros in healthcare and cyber bad guys everywhere
Frustratingly to hospital leadership, the upward trajectory in attacks and harms is happening despite healthcare’s striving—and spending—to be more proactive with defensive measures.
Ambient AI can win big for nursing—as long as executive leadership buys in, stays engaged: Case study conclusion
Nursing technology leaders at a large health system are reporting time savings of 20.6 minutes per nurse across 12-hour shifts while caring for an average of 4.5 patients each. The secret to their success: automated digital documentation.

AI-powered EHR alerts make a world of difference for cardiologists, heart patients

AI can help care teams identify heart patients who would benefit from TAVR or another life-changing valve intervention.

AI firm focused on diagnosing prostate cancer via MRI raises $11M

U.K.-based Lucida Medical’s diagnostic tool is already deployed by the NHS, with the company earmarking the funds for the pursuit of regulatory approval in the U.S.

UnitedHealthcare launches generative AI ‘companion’ for patient care coordination

The new agentic program, called “Avery,” is now available to millions of UnitedHealthcare members through insurer's existing app. The company said the model will help patients find providers, understand their benefits, get updates on claims and more.

Man vs. Machine artificial intelligence AI

CEO of America’s largest public hospital system says he’s ready to replace radiologists with AI

Mitchell H. Katz, MD, president and CEO of NYC Health + Hospitals, recently spoke during a panel discussion held by Crain’s New York Business.

EFF sues CMS over deployment of Medicare prior authorization AI

The Electronic Frontier Foundation, a nonprofit digital civil rights advocacy group, said it filed a Freedom of Information Act request seeking more information about the “WISeR” pilot program, which effectively adds a prior-authorization process to traditional Medicare in six states. To date, it’s received no response.

AI model algorithm tablet digital patient data

FDA clears new AI model for pulmonary hypertension

The advanced algorithm, which previously received the FDA's breakthrough device designation, detects signs of pulmonary hypertension in standard 12-lead electrocardiograms.

artificial intelligence AI predictive analytics

UCLA's first dean for health AI strategy and innovation takes office

“The creation of an associate dean in AI speaks to the fact that AI has become central to research, education and clinical operations in the health care system."

FDA sees promise in voice-based AI model for heart failure

An advanced algorithm that looks for signs of heart failure in five-second voice recordings has received the FDA's breakthrough device designation.

Artificial Intelligence

AI model helps discern patients' need for supplemental breast imaging

AHA launches three-year initiative to scale AI and telehealth adoption at hospitals

New ways to predict TAVR outcomes for individual heart patients

Race tightens between cybersecurity pros in healthcare and cyber bad guys everywhere

Ambient AI can win big for nursing—as long as executive leadership buys in, stays engaged: Case study conclusion