Alberto Andreotti is a Senior Data Scientist at John Snow Labs, where he leads the development of Visual NLP solutions for healthcare. He has over a decade of experience in Machine Learning, working across industry and consulting with a particular focus on healthcare and applied AI.
Alberto and his team build end-to-end solutions for extracting information from unstructured data, de-identifying sensitive information, and processing complex clinical documents. His work spans Machine Learning, Natural Language Processing, Computer Vision, and large-scale data processing.
A lifelong learner, Alberto holds degrees in Engineering and Computer Science and is currently pursuing a third degree focused on Artificial Intelligence. Originally from Argentina, he enjoys spending his free time outdoors, particularly hiking and camping.
Digital pathology is generating data faster than most healthcare organizations can safely share it. A single whole-slide image (WSI) can weigh in at several gigabytes, and every one of them...
This post will delve into the utilization of Visual NLP to manipulate pixel and overlay data within DICOM images. In the following examples, we will work with these two transformers:...
Join us in exploring the latest advancements in multimodal AI for extracting tabular data from visual documents. This session will delve into novel methods implemented in John Snow Labs’ Visual...
Lights, camera, action! Welcome to the future of information extraction with Visual NLP by John Snow Labs, where “OCR-Free” multi-modal AI models are stealing the show. Imagine a world where...
This release comes with new models for Handwritten Text Recognition, Spark 3.2 support, bug fixes, and notebook examples. Added to the ImageTextDetectorV2 New parameter 'mergeIntersects': merge bounding boxes corresponding to...