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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FDA clears prostate AI for second indication

Radiology AI vendor Bot Image may market its prostate software not only for diagnosing cancer when suspected but also for performing prostate screenings.

Microsoft Johns Hopkins AI partnership

7 lessons learned during joint big business/healthcare AI projects

Big Tech players have been investing in partnerships with large healthcare providers on AI endeavors for several years now. According to both sides in one such collaboration, the resulting synergy offers “immense potential” to improve patient access, care and outcomes.

Emergency physician in COVID mask

Study supports feasibility of full-time AI-based workflow in the ED

When used to flag anomalies in combined chest and musculoskeletal X-rays, imaging AI can relieve overstretched emergency radiology teams.

Brainomix stroke CT imaging

Explainable stroke AI cleared for US sales

The FDA has OK’d a new artificial intelligence platform for quickly diagnosing stroke on unenhanced CT scans.

Banks skyscrapers

Big bank rolls out AI claims predictor for healthcare clients

One of the 10 largest banks in the country is marketing a new AI-based system aimed at flagging upcoming medical claims that are likely to court rejection by payers.

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New algorithm shows how AI could make lung cancer screening more cost-effective

Using CT scans, a deep learning algorithm can recommend optimal lung cancer screening intervals by distinguishing between high-risk and low-risk lung nodules. 

 

Quantum computer superconductivity

Quantum healthcare computing coiled for liftoff on US soil

The first quantum computer set up to support healthcare research in the United States has been delivered.

Venerable medical journal spawns AI-focused offspring

The 211-year-old New England Journal of Medicine has birthed an online-only monthly journal that will take on “some of the most pressing questions in medicine through the application of AI in the clinic.”

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