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Introduction Low back pain (LBP) is one of the most disabling musculoskeletal conditions globally.1,2 Various factors contribute to LBP, with lumbar disc herniation (LDH) being the most common.3 LDH can compress the spinal nerve roots, resulting in radiculopathy, which is often accompanied by severe lower limb pain, numbness, and diminished muscle strength.4 Although most patients

Dec 07, 2024 02:16 PM IST This article is authored by Nirpendra Ajmera, chief audit executive, Qulliq Energy Corporation. The journey of Artificial Intelligence (AI) traces its roots back to 1950, when British mathematician Alan Turing asked, "Can machines think?" This seemingly simple question set the stage for what has become one of the most

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The AI PC combines CPU, GPU, and NPU to optimize performance and energy efficiency for AI tasks, enabling personalized experiences in productivity, content creation, and education. It balances high performance with battery-saving features and supports open software ecosystems for seamless AI application development. AI PCs are set to transform industries by integrating AI into everyday

An article from Dive Brief The company has generated evidence that shows its system is better than experts at assessing vessel narrowing, plaque volume and composition. Cleerly raised $106 million in an extension of its Series C funding round. Retrieved from Cleerly on December 06, 2024 This audio is auto-generated. Please let us know if

If you buy something using links in our stories, we may earn a commission. This helps support our journalism. Learn more. Please also consider subscribing to WIRED Google, Meta, and Microsoft, as well as startups like OpenAI and Anthropic, all had well-developed strategies for generative AI by the time Apple finally announced its own push

As told to Abby Proch, executive editor of guest columns, Clinical Leader Ask around, whether at home or in the workplace, and you’ll find that nearly everyone has heard about AI and all its touted benefits. But dig deeper with an albeit generic follow-up question — “Have you ever used AI before?” — and you

Summary  Japanese researchers developed a deep-learning AI model to predict organoid quality early in development, achieving 70% accuracy compared to less than 60% by experts. The model classifies organoids without genetic modification, streamlining selection for transplantation and disease modeling. This reduces costs and enhances efficiency in organoid-based regenerative medicine. Key Takeaways AI models accurately predict

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