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If you're new here, I read through the latest AI healthcare news, filtering out the noise to save you time and bring you what matters.

Here’s today’s Insights

• AI-enabled analysis of images meant to catch one disease can reveal others

• AI can boost cost-effective heart failure screening, study shows

• AI Computer Chip Shortage in Healthcare: How Medical AI Is Impacted

• What AI Can Already Do In Healthcare In 8 Examples

• The 8 next big technologies in health for 2024

📰 TODAY IN AI & HEALTHCARE

• AI-enabled analysis of images meant to catch one disease can reveal others: NYU Langone Health researchers have developed an AI tool that finds hidden health problems in existing CT scans, called "opportunistic screening." In their study of 3,662 CT scans (2013-2023), the AI detected arterial calcium that indicated heart disease risk - with affected patients being 2.2 times more likely to have major cardiovascular events within three years - and was also successful at finding osteoporosis in separate lung cancer screening scans; however, researchers note more studies are needed to prove this method's effectiveness in preventing illness.

• AI can boost cost-effective heart failure screening, study shows: Mayo Clinic researchers found that using AI to analyze ECGs for detecting weak heart pumps (low ejection fraction) is cost-effective, especially in outpatient settings. In a study of 22,000 participants, the AI-ECG tool helped identify patients who needed follow-up echocardiogram testing, proving significantly more economical when used in outpatient care. By identifying hidden heart problems during routine visits, this AI tool enables earlier treatment before symptoms appear, potentially slowing disease progression; however, researchers note more work is needed to streamline the AI evaluation process.

• AI Computer Chip Shortage in Healthcare: How Medical AI Is Impacted: The AI market is expected to grow to nearly $1 trillion by 2027, creating huge demand for special computer chips called GPUs (Graphics Processing Units) that power AI systems. These chips are vital because they can process large amounts of information quickly - think of them as the "brain" for AI. While most hospitals and healthcare organizations currently access GPU-powered AI through cloud services (remote computer systems run by companies like Microsoft and Amazon), there's a worldwide shortage of these chips, with leading manufacturer NVIDIA's chips backordered for a full year. According to a healthcare AI expert, while most hospitals aren't feeling the impact yet thanks to their existing partnerships with cloud service providers, healthcare organizations that delay adopting AI might struggle to access these resources; experts suggest using cloud services and multiple vendors to prepare for potential shortages.

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What AI Can Already Do In Healthcare In 8 Examples

The Medical Futurist gives 8 real-world examples of how AI is already being used in healthcare:

1. Generating clinical notes during consultations

2. Analysing radiology scans

3. Triaging patients

4. Controlling assistive robots

5. Analysing pathology scans and samples

6. Detecting risk of falls using video cameras

7. Performing therapy as chatbots

8. Predicting patient deterioration in real-time

📃 Read the full article here.

💎 OTHER GOOD STUFF

The 8 next big technologies in health for 2024

Fast Company released their latest Next Big Things in Tech list, spotlighting 8 healthcare innovators advancing AI diagnosis, treatment, and automation. Here are the winners:

• Anumana: AI algorithms for heart disease detection (ECG)

• Certify Health: Provider credentialing automation

• Color Health: AI tools for cancer care and early detection

• Glaukos: Automated glaucoma treatment implant

• Kineon: Red light therapy devices

• Pangea Biomed: AI for precision cancer treatment matching

• Proscia: AI-powered cancer diagnosis platform

• QuantalX: Device for early detection of brain diseases