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. 

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Radiology advocates urge HHS to reject ‘extraordinarily concerning’ proposal weakening AI oversight

The ACR, Radiology Society of North America and Society for Imaging Informatics in Medicine all said the "midnight" plan would jeopardize patient care and go against the FDA's previous intentions. 

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Robots almost as good as clinicians at pleasing patients in the ER

Emergency-room patients are happy to receive care from a physician interacting remotely over a tablet computer mounted on a dog-like robot.

AI identifies FDA-approved drugs warranting novel testing against Alzheimer’s

Harvard researchers have used machine learning to find molecular features in existing drugs that may be effective in warding off or treating Alzheimer’s disease.

New Disney, Philips venture will test custom animated stories during pediatric MRI exams

As part of the pilot, the house of mouse will create original animation featuring some of its most famous characters: Ariel, Marvel’s Avengers, Mickey Mouse, and others

8 principles for AI ethics in pathology, other specialties

Clinical laboratories store a motherlode of objective and structured patient data well primed for mining with AI. Given this reality, pathologists and medical laboratorians must set and abide by principles guiding the ethical use of the technology.

Computer vision holds promise for the ICU but may face opposition from clinicians, patients, families

A survey of ICU doctors and nurses at Mayo Clinic reveals widespread concern over lawsuits connected to the proposed use of video recording and video recognition with computer vision.

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New tool solves ‘urgent medical need’ to help patients with multiple pulmonary nodules

The machine learning-based method can ensure clinicians keep pace with the growing number of people presenting with more than one lung abnormality.

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AI decision aid improves patient outcomes

An AI decision aid significantly improved decision quality, level of shared decision-making, patient satisfaction and functional outcomes in patients compared to an education-only approach, according to a new study in JAMA.