AI reads ECGs and heart ultrasounds to spot pulmonary hypertension
A meta-analysis of 15 studies and 506,264 participants finds AI-based ECG and echocardiography models show encouraging retrospective accuracy for pulmonary ...
A meta-analysis of 15 studies and 506,264 participants finds AI-based ECG and echocardiography models show encouraging retrospective accuracy for pulmonary ...
A narrative review in Frontiers in Oral Health proposes a staged framework for validating redox biomarkers as tools for longitudinal ...
A Cancer Imaging correspondence flags misreported study design, unsupported validation claims and reversed responder numbers in a study of early ...
A new review finds AI excels within single bone marrow modalities but genuine multimodal fusion systems remain unrealized.
Machine learning models using routine health data showed potential to identify people at higher risk of several common cancers, with ...
A new narrative review proposes a five-dimensional taxonomy for disagreements between imaging and circulating tumor DNA testing and frames multimodal ...
A lightweight ShuffleNetV2 model distinguished active from non-active pulmonary tuberculosis on chest radiographs with a prospective AUC of 0.896 and ...
A retrospective cohort study with prospective validation found that Gram staining of soft tissue infectious fluid had high specificity and ...
Eleven studies using machine learning, single-cell profiling, imaging, liquid biopsy and clinical data identify candidate cancer biomarkers, but retrospective designs ...
A two-step machine learning framework trained on more than 23,000 clinical records from Indian newborn units identified 84.9 percent of ...
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© 2026 Scienmag - Science Magazine