BIOENGINEER

Research report: Deep learning based detection of active pulmonary tuberculosis from chest radiographs in a retrospective prospective multicenter study

A lightweight ShuffleNetV2 model distinguished active from non-active pulmonary tuberculosis on chest radiographs with a prospective AUC of 0.896 and improved radiologist performance when used for ...
BIOENGINEER

Deep learning predicts DNA repair deficiency in HGSOC pathology slides

A retrospective study in high-grade serous tubo-ovarian carcinoma found that HRDPath inferred homologous recombination ...
HealthDay on MSN

AAO: Deep learning using fundus photograph predicts myopia progression

A deep learning algorithm analyzing one fundus photograph can predict progression to moderate or high myopia, according to a study presented at the annual meeting of the American Academy of ...
ascopubs.org

Real-world and clinical trial validation of a deep learning radiomic biomarker for PD-(L)1 immune checkpoint inhibitor response in stage IV NSCLC.

Multimodal artificial intelligence models from baseline histopathology to predict prognosis in HR+ HER2- early breast cancer: Subgroup analysis. This is an ASCO Meeting Abstract from the 2024 ASCO ...
ascopubs.org

A blind validation of a deep-learning solution providing HER2, ER, and PR results from H&E-stained breast cancer specimens.

Evaluating the association between radiomic features on breast MRI and dormant tumor cell presence in the SURMOUNT trial. This is an ASCO Meeting Abstract from the 2024 ASCO Annual Meeting I. This ...