The field of radiology has seen a transformative impact with the advent of generative vision-language models (VLMs), automating medical image interpretation and report generation. This innovative tech has shown potential in reducing radiologists’ workload and improving diagnostic accuracy. However, a challenge to this technology is its propensity to produce hallucinated content — text that is…
Machine learning (ML) is transforming the healthcare industry by enhancing the evaluation of treatments through the prediction of treatment impacts on patient outcomes. This methodology, known as causal ML, uses data from various sources including randomized controlled trials, clinical registries, and electronic health records to measure treatment effects. By providing personalized outcome predictions under different…
Language model applications (LLMs) are released frequently, each promising its own specific speed, cost, and quality advantages. But selecting the best model can be challenging due to the constant influx of new options, manual signups and custom benchmarks, and for some, the output quality and speed are less than satisfactory. In response to these constraints,…
Researchers from MIT and Meta have developed a computational vision technique, named PlatoNeRF, that allows for creating vivid, accurate 3D models of a scene from a single camera view. The innovative technology uses the shadowing in a scene to determine what could lie within obstructed areas. By combining machine learning with LIDAR (Light Detection and…
Employee advocacy can revolutionize a company's brand image, especially when employees' excitement towards their organization's values and mission is harnessed effectively. Custom awards, combined with digital tools like those provided by StoryLab.ai, play a central role in engaging employees and recognizing their participation in advocacy campaigns.
To drive a successful employee advocacy campaign, it is crucial…
The integration of artificial intelligence (AI) in marketing strategies has created a paradigm shift in the industry. However, the ethical considerations regarding AI's integration into such strategies is a significant concern. To create trust and maintain a healthy relationship with consumers, marketers need to ensure the transparency of their AI algorithms, allowing consumers to understand…