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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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.

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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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.

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IBM sale of Watson Health reveals healthcare’s AI conflict

The reported exploration to sell Watson Health, the AI-driven health business of IBM, underscores deep challenges with technology in solving healthcare problems, according to the Wall Street Journal.

 

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AI spots dozens of missed incidental pulmonary embolism diagnoses at one hospital

The investigation was retrospective, but Duke scientists believe their algorithm could potentially aid radiologists in spotting near-misses in their work.

Call made for more rigorous evaluation of AI aimed at guiding providers, patients

Only two of 34 representative studies evaluating the use of AI for real-world shared clinical decisionmaking from 2014 to 2020 included external validation of the models up for consideration.

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