Subscribe free

Digital Surgery and Telemedicine ·

Deep Learning Improves Prediction of Response to Neoadjuvant Chemotherapy in Colorectal Liver Metastasis

Deep learning models applied to prechemotherapy imaging accurately predict response to neoadjuvant chemotherapy in colorectal cancer liver metastases, outperforming clinical models. A study on 95 patients found the deep learning model had an AUC of 0.77, superior to the clinical model’s AUC of 0.41, showing potential to identify nonresponders and guide patient management towards curative resection.

Journal Article by Davis JMK, Niazi MKK (…) Vrochides D et 12 al. in J Surg Oncol

© 2024 The Authors. Journal of Surgical Oncology published by Wiley Periodicals LLC.

read the whole article in J Surg Oncol

open it in PubMed

Summaries are written to help you decide what to read. They do not replace the full paper.

Free · 5 minutes a day

Get every new paper in Digital Surgery and Telemedicine.

Plus the Daily Selection: the five most relevant papers of the day, each cut to its key points.

Specialty newsletters: every new paper in your field, as a list of titles linked to the source. Daily Selection: the five that matter, cut to their key points.

FreeNo spamOne-click unsubscribe

More in Digital Surgery and Telemedicine

The latest stitches

Digital Surgery and Telemedicine20 Oct 2026

AI Segments Abdominal Wall Layers During Trocar Entry

In a 10-procedure pilot, deep learning identified abdominal wall layers in optical trocar-entry video with promising accuracy—but this is not yet evidence of safer access.

All papers in Digital Surgery and Telemedicine →