AI cancer detection models require calibration to attain the desired balance between cancer detection rate (CDR) and false positive rate. In this study, we simulate the impact of six types of mismatches between the…
Continue Reading
Critical findings in radiology reports are life threatening conditions that need to be communicated promptly to physicians for timely management of patients. Although challenging, advancements in natural language processing (NLP), particularly large language models…
Continue Reading
Small language models (SLM) offer promise for medical applications by addressing the privacy and hardware constraints of large language models; however, their limited parameters (often fewer than ten billion) hinder multi-step reasoning for complex…
Continue Reading
What You Should Know:
– Immunai, a leading AI biotech company specializing in mapping the human immune system and the Parker Institute for Cancer Immunotherapy (PICI), a collaborative consortium of the world’s leading immuno-oncology experts,…
Continue Reading
Study Reveals Critical Diversity Gaps
A concerning study published in the European Journal of Cancer highlights significant diversity problems in AI mammogram interpretation datasets. Researchers discovered that racial, ethnic, and geographic representation is severely lacking,…
According to a study published in the European Journal of Cancer, the fairness and equity of datasets for AI-driven mammogram interpretation might be jeopardized by the underrepresentation of racial and ethnic diversity.While AI shows…
Continue Reading
The novel coronavirus (COVID-19) pandemic has had a devastating global impact, profoundly affecting daily life, healthcare systems, and public health infrastructure. Despite the availability of treatments and vaccines, hospitalizations and deaths continue. Real-time surveillance…
Continue Reading
Transthoracic echocardiography (TTE), commonly used for initial screening of pulmonary hypertension (PH), often lacks sufficient accuracy. To address this gap, we developed and validated a multimodal fusion model for improved PH screening (MMF-PH). The…
Continue Reading
We developed and validated models to predict 1- and 2-week risk of non-elective hospitalization (NEH) and sepsis hospitalization following outpatient clinic, emergency department treat and release (EDTR), or hospitalization encounters. We employed data from…
Continue Reading
The Promise of EHDS for European Healthcare
The European Health Data Space (EHDS) represents a groundbreaking initiative launched by the European Commission in 2022 to revolutionize healthcare across the continent. At its core, EHDS aims…
