Digital Health
Ibex Study Finds AI Highly Accurate in Cancer Identification
What You Should Know: – The latest study from Ibex Medical Analytics and the Institut Curie, published in Nature, demonstrates how AI implementation…
What You Should Know:
– The latest study from Ibex Medical Analytics and the Institut Curie, published in Nature, demonstrates how AI implementation across pathology labs can significantly improve the outcome of cancer care.
– The study analyzed Ibex’s AI-based quality control solution for breast biopsy review on over 15,000 slides over a diverse cohort. The study found the AI algorithm achieved high accuracy in identifying various types of cancer and 51 different morphological features of breast tissue.
– Breast cancer is the most common malignant disease worldwide, with over 2.26 million new cases in 2020. The cumulative probability of a woman receiving at least one false-positive biopsy over 10 years is estimated to be between 4.8% and 9.4%, emphasizing the need for accurate, timely, and objective diagnosis of this disease.
– The algorithm accurately identified invasive carcinoma and ductal carcinoma in situ (DCIS) with 93.79% specificity and 93.20% sensitivity. Additionally, the AI differentiated well between different grades and subtypes of breast cancer.
Keep it Short
By KIM BELLARD OK, I admit it: I’m on Facebook. I still use Twitter – whoops, I mean X. I have an Instagram account but don’t think I’ve ever posted….
Asian Fund for Cancer Research announces Degron Therapeutics as the 2023 BRACE Award Venture Competition Winner
The Asian Fund for Cancer Research (AFCR) is pleased to announce that Degron Therapeutics was selected as the winner of the 2023 BRACE Award Venture Competition….
Seattle startup Olamedi building platform to automate health clinic communications
A new Seattle startup led by co-founders with experience in health tech is aiming to automate communication processes for healthcare clinics with its software…
