The interpretability gap raises a subtle but critical issue of confirmation bias31 and thus decreases the trust of informed users in an XAI system in which this gap has not been closed. For example, if the XAI diagnoses a melanoma based on the lower left part of the lesion, the underlying...
in breaking the boundaries of segmentation, greatly promoting the development of foundation models for computer vision. To fully comprehend SAM, we conduct a survey study. As the first to comprehensively review the progress of segmenting anything task for vision and beyond based on the foundation ...
we investigate the current state of transparent ML in medical image analysis, a trailblazing application area for ML in healthcare due to the abundance and structure of data. Through a systematic review based on these aspects, we first identify major shortcomings in the design ...
The session focused on the Role of Generative AI in Industry Related Healthcare issues. Nitin Muraleedharan, Senior Assistant Vice President of EXL pvt. Ltd., USA, was the key speaker. The session discussed the scope of Generative AI in handling various industry related healthcare issues. A ...
(iii) develop an integrative framework of AI-enabled marketing capabilities using AI operations, the hierarchy of automation, and the hierarchy of capabilities, and (iv) identify and apply AI’s operations to 30 exemplar marketing and marketing-related capabilities to develop propositions based on ...
The largest knowledge sharing platform for global water professionals with more than 127,000 members. A free resource with benefits for individuals, ...
low-cost technology solutions. Together withARMMAN, Google Research supporteda programthat uses mobile messaging and machine learning (ML) algorithms to predict when women might benefit from receiving interventions (i.e., targeted preventative care information) and encourages them to engage with themMit...
In this article we provide an analysis focusing on clinical use of two deep learning-based automatic detection tools in the field of radiology. The value o
Considering the unique challenges and contexts of LMICs, fostering international col- laboration among governments, academic insti- tutions, and industry partners is essential for creating AI-based healthcare solutions tailored to LMICs' specific needs. By joining forces in research and develop- ment, ...
“analytical intelligence” with logical, systematic, and rule-based learning capabilities to more advanced “intuitive intelligence” with more holistic, flexible, and experience-based thinking capabilities (Huang and Rust2018). Implementing perspective-taking in AI agents can be broken down into three ...