BMJ Open

Performance validation of an artificial intelligence-assisted chest radiograph algorithm for incidental pulmonary nodule detection in Malaysian healthcare facilities: a ...

Introduction Incidental pulmonary nodules (IPNs) are commonly encountered on chest radiographs (CXRs) performed for routine clinical indications and may represent early manifestations of significant ...
ascopubs.org

Use of a large language model (LLM) for pan-cancer automated detection of anti-cancer therapy toxicities and translational toxicity research.

Computational pathology to predict docetaxel benefit for high-risk localized prostate cancer in NRG/RTOG 0521 (NCT00288080). Association of deep learning CT response assessment and interpretable ...
ascopubs.org

Evaluation of large language model (LLM)-based clinical abstraction of electronic health records (EHRs) for non-small cell lung cancer (NSCLC) patients.

Implementation and evaluation of multi-cancer early detection testing at the Dana-Farber Cancer Institute: A retrospective analysis of clinical outcomes and diagnostic pathways. Real-world analysis of ...
EurekAlert!

Ultrasensitive detection of biomarkers for guiding immunotherapy in lung cancer: A liquid biopsy approach

(a) Deep learning-based circulating exosome analysis for lung cancer detection (copyright American Chemical Society, 2024); (b) The operational mechanism of the Förster resonance energy transfer (FRET ...
News Medical

Ultrasensitive ctDNA detection improves risk prediction in early-stage lung cancer

NeXT Personal identifies circulating tumor DNA in 81% of early-stage lung adenocarcinoma cases, offering potential for better disease stratification and outcome prediction. Study: Ultrasensitive ctDNA ...