Due to numerous advantages such as the enhancement of the treatment or reaching remotely located people who need treatment at affordable cost, telehealth is nowadays widely used in speech-language pathology (SLP) services. This paper presents the results of two empirical studies carried out among ...
associated network in the KG. The similarity between diseases is measured by the normalized dot product of their signature vectors. As most diseases do not share underlying pathology, they have low similarity scores. In contrast, relatively high disease similarity scores (>0.2) suggest similar diseas...
Axillary lymph nodes are typically the first site of breast cancer metastasis, and identifying metastases in lymph nodes holds therapeutic significance for breast cancer patients37. Whole-slide images (WSIs) digitize high-resolution slide pathology, enabling AI to assist in this time-consuming and ...
(use case 3), the Dice performance of VFMGL at each center was: 0.9134 ± 0.0121, 0.9258 ± 0.0098, 0.9546 ± 0.0060, 0.9297 ± 0.0100, 0.9246 ± 0.0106, and 0.9013 ± 0.0072. In the pathology image nucleus segmentation task (use case 4), the Dice...
what has she not done should be the question.Alexis wants to major in Speech Pathology, obtain her masters degree and be a speech therapist to work with children or in a hospital.With what she has accomplished so far I have no doubt she can reach that goal also.Best wishes to Alexis ...
Rotation equivariant cnns for digital pathology. In Medical Image Computing and Computer As- sisted Intervention–MICCAI 2018: 21st International Confer- ence, Granada, Spain, September 16-20, 2018, Proceedings, Part II 11, pages 210–218. Springer, 2018. 6 [74] H...
A visual–language foundation model for pathology image analysis using medical Twitter Nat. Med., 29 (2023), pp. 2307-2316, 10.1038/s41591-023-02504-3 View in ScopusGoogle Scholar 18 Y. Zhou, M.A. Chia, S.K. Wagner, M.S. Ayhan, D.J. Williamson, R.R. Struyven, T. Liu, M....
When you or your kid is diagnosed as neurodivergent, almost all of the professional advice you get from education and healthcare is steeped indeficit ideologyand thepathology paradigm. There are better ways. Learn more with our Autism, Education, and Healthcare Learning Pathways. ...
So, the unimodal pre-training is a very good first step, but there are even bigger challenges. So, for example, a pathology foundation model may learn to map a tumor lesion somewhere in the embedding space, whereas a CT foundation model ...
Many have used various implementations of BERT (Bidirectional Encoder Representations from Transformers), an early LLM, to extract radiographic clinical findings14, mentions of devices15, study characteristics16, and result keywords17 from radiology or pathology reports. More recently, larger LLMs such ...