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Feasibility of a Randomized Controlled Trial of Large AI-Based Linguistic Models for Clinical Reasoning Training of Physical Therapy Students: Pilot Randomized Parallel-Group Study
CONCLUSIONS: While LLMs have the potential to enhance specific digital competencies in physical therapy students, their practical integration into the curriculum faces challenges. Future studies should focus on improving student engagement with LLMs and extending the training period to determine the feasibility of integrating this tool into physical therapy education and maximize benefits. →
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Prospective comparison of static versus dynamic images in abdominal ultrasound education — a randomised controlled trial
CONCLUSION: Dynamic images in ultrasound education improve comprehension of pathological findings over static images. These insights should inform the development and adaptation of future training programs and educational materials to enhance the quality of ultrasound education and diagnostic accuracy. →
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Google Researchers Introduced LSM-2 with Adaptive and Inherited Masking (AIM): Enabling Direct Learning from Incomplete Wearable Data
«`html Google Researchers Introduced LSM-2 with Adaptive and Inherited Masking (AIM): Enabling Direct Learning from Incomplete Wearable Data Introduction Wearable devices are transforming health monitoring by enabling continuous collection of physiological and behavioral signals such as heart rate, activity, temperature, and skin conductance. However, the data generated by these devices is often incomplete due to… →
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7 MCP Server Best Practices for Scalable AI Integrations in 2025
«`html 7 MCP Server Best Practices for Scalable AI Integrations in 2025 Model Context Protocol (MCP) servers have become essential for scalable, secure, and agentic application integrations. As organizations seek to expose their services to AI-driven workflows, it is crucial to maintain developer experience, performance, and security. Here are seven data-driven best practices for building,… →
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This AI Paper Introduces PyVision: A Python-Centric Framework Where AI Writes Tools as It Thinks
«`html This AI Paper Introduces PyVision: A Python-Centric Framework Where AI Writes Tools as It Thinks Understanding the Target Audience The target audience for this paper includes AI researchers, data scientists, business managers in tech, and developers interested in visual reasoning and AI frameworks. Their pain points often revolve around the limitations of current AI… →
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GPT-4o Understands Text, But Does It See Clearly? A Benchmarking Study of MFMs on Vision Tasks
GPT-4o Understands Text, But Does It See Clearly? A Benchmarking Study of MFMs on Vision Tasks Multimodal foundation models (MFMs) like GPT-4o, Gemini, and Claude have made significant strides recently, particularly in public demonstrations. While their language capabilities are well-documented, their proficiency in visual comprehension remains uncertain. Current benchmarks predominantly assess text-based tasks, such as… →
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The leadership art of organisational politics
Change Needs More Than Vision Successful leadership during change is not defined by a bold vision alone, but by a leader’s ability to engage with complexity and lead with integrity. Understanding how to apply different forms of power and political skill enables leaders to manage resistance, build trust, and align diverse interests. Why Vision Isn’t… →
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A New Method for Assessing Circular Business Cases
Chris Gash/theispot.com The circular economy is a key enabler for businesses to achieve sustainability targets. However, traditional financial analysis models can be inadequate for evaluating circular business models. While circularity helps reduce waste, recover materials, and extend product lifespans, it also fundamentally changes how value is created and measured. Yet, most financial models remain rooted… →