Layoffs and AI - relevance? - post regarding Optum layoffs

Layoffs and AI - relevance?

The development of artificial intelligence (AI) has the potential to significantly impact the job market and lead to layoffs in certain industries. Here are a few reasons why paying attention to AI development in terms of layoffs is important:

Automation of routine tasks: AI technologies can automate repetitive and mundane tasks that are currently performed by humans. This automation has the potential to replace jobs in sectors such as manufacturing, transportation, customer service, and data entry. By monitoring AI development, individuals and policymakers can better prepare for these changes and proactively address potential job losses.

Industry disruption: AI has the capacity to disrupt entire industries by introducing more efficient and cost-effective alternatives. For example, autonomous vehicles could impact the transportation and logistics sectors, leading to layoffs for professional drivers. By staying informed about AI advancements, individuals and organizations can anticipate industry changes and plan for potential workforce transitions.

Skill requirements and retraining: AI's impact on the job market will create a growing demand for individuals with skills that complement and work alongside AI systems. As certain jobs become obsolete, there will be a need for upskilling and retraining programs to help affected workers transition into new roles. By paying attention to AI development, policymakers can design effective retraining initiatives and educational programs to minimize the negative effects of layoffs

Socioeconomic implications: Widespread layoffs resulting from AI development can have significant socioeconomic implications. Displaced workers may face financial hardships, unemployment, and social challenges. By closely following AI advancements, policymakers can develop strategies to mitigate the negative consequences, such as implementing social safety nets, providing job placement assistance, or exploring alternative work arrangements.

Ethical considerations: As AI technology continues to advance, ethical questions surrounding its deployment and impact on employment arise. Paying attention to AI development allows for discussions and debates on topics like job displacement, fair employment practices, income inequality, and the potential need for policy frameworks to ensure a just and inclusive transition.

Overall, monitoring AI development in terms of layoffs is crucial for understanding and addressing the potential disruptions and challenges it poses to the job market. By staying informed, individuals, organizations, and policymakers can better prepare for the changing landscape and work towards solutions that promote job creation, retraining, and societal well-being

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https://cardiovascularbusiness.com/topics/artificial-intelligence/cardiology-has-embraced-ai-more-most-other-specialties

Cardiology has embraced AI more than most other specialties
Dave Fornell | May 12, 2023

Artificial intelligence (AI) algorithms are being used more and more by cardiologists and other cardiovascular professionals. In fact, of the more than 500 clinical AI algorithms cleared by the U.S. Food and Dr-g Administration (FDA), cardiology has more than all but one other specialty: radiology has more than 400, and cardiology has more than 60.

Those numbers continue to grow, suggesting that this is just the beginning for cardiology's relationship with this evolving technology.

Beyond the clinical, patient-facing AI algorithms the FDA reviews, there are hundreds more non-clinical algorithms now embedded into back-end health IT systems to speed workflow, improve efficiency, complete time-consuming tasks, analyze data and more.

Here is the breakdown for the number of FDA-cleared algorithms across specialties as of the FDA's last update in January 2023.

• Radiology 396
• Cardiology 58
• Hematology 14
• Neurology 10
• Clinical chemistry 7
• Ophthalmic 7
• Gastroenterology and urology 5
• General and plastic surgery 5
• Pathology 4
• Microbiology 4
• Anesthesiology 4
• General Hospital 3
• Orthopedic 1
• Dental 1

See the complete list of FDA-cleared algorithms here

Additionally, the American College of Radiology (ACR) also maintains a frequently updated database of medical imaging AI FDA approvals. According the the ACR database, and additional 35 medical imaging AI algorithms were cleared between January and March 30, 2023. This included 8 new cardiac related algorithms, bringing the total for cardiology to 66. Radiology algorithms overall are now at 431.

The first AI algorithm was cleared by the FDA in 1995, and fewer than 50 algorithms were approved over the next 18 years. However, the numbers have increased rapidly in the past decade, and more than half of algorithms on the U.S. market were cleared between 2019 to 2022––more than 300 apps in just four years. Last October, the FDA approved 178 new AI and machine learning (ML) systems. That number is expected to grow rapidly into the future, the FDA has said.

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Layoffs and AI - relevance?

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