Chengmao Zhou

Zhanjiang, 524000, China

Last Updated: 09/26/2026

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Found 45 publications

A glutamatergic ventrolateral periaqueductal gray-lateral habenula pathway is associated with depression-like behavioral measures in young adult male mice with trigeminal neuropathic pain.

A glutamatergic ventrolateral periaqueductal gray-lateral habenula pathway is associated with depression-like behavioral measures in young adult male mice with trigeminal neuropathic pain.

Journal: The journal of headache and pain

Published: March 27, 2026

Investigating the utilization of LIME-enhanced AI and generated data for evaluating the risks associated with radial artery puncture procedures.

Investigating the utilization of LIME-enhanced AI and generated data for evaluating the risks associated with radial artery puncture procedures.

Journal: Scientific reports

Published: July 01, 2025

Predicting postoperative delirium after lung cancer resection: the utility of synthetic data and LIME algorithm for model interpretation.

Predicting postoperative delirium after lung cancer resection: the utility of synthetic data and LIME algorithm for model interpretation.

Journal: Scientific reports

Published: July 01, 2025

Computed tomography (CT)-based classification and management pathways for hybrid lesions in children: a comparative analysis of congenital pulmonary airway malformation (CPAM) and bronchopulmonary sequestration (BPS).

Computed tomography (CT)-based classification and management pathways for hybrid lesions in children: a comparative analysis of congenital pulmonary airway malformation (CPAM) and bronchopulmonary sequestration (BPS).

Journal: Clinical radiology

Published: June 08, 2025

Creating a delirium risk assessment model for geriatric patients with femoral neck fractures through artificial intelligence techniques: a theoretical exploration.

Creating a delirium risk assessment model for geriatric patients with femoral neck fractures through artificial intelligence techniques: a theoretical exploration.

Journal: BMC neurology

Published: March 10, 2024

Enhancing clinical training evaluation: leveraging artificial intelligence algorithms for effective online practicum assessment.

Enhancing clinical training evaluation: leveraging artificial intelligence algorithms for effective online practicum assessment.

Journal: BMC medical education

Published: September 24, 2023

Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients.

Development of a LASSO machine learning algorithm-based model for postoperative delirium prediction in hepatectomy patients.

Journal: BMC surgery

Published: September 05, 2023

A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm.

A predictive model for post-thoracoscopic surgery pulmonary complications based on the PBNN algorithm.

Journal: Scientific reports

Published: March 21, 2023

Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology.

Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology.

Journal: BMC medical informatics and decision making

Published: November 29, 2022

Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms.

Predicting early postoperative PONV using multiple machine-learning- and deep-learning-algorithms.

Journal: BMC medical research methodology

Published: August 08, 2022

Non-linear relationship of gamma-glutamyl transpeptidase to lymphocyte count ratio with the recurrence of hepatocellular carcinoma with staging I-II: a retrospective cohort study.

Non-linear relationship of gamma-glutamyl transpeptidase to lymphocyte count ratio with the recurrence of hepatocellular carcinoma with staging I-II: a retrospective cohort study.

Journal: Infectious agents and cancer

Published: August 03, 2021

Predicting intraoperative bleeding in patients undergoing a hepatectomy using multiple machine learning and deep learning techniques.

Predicting intraoperative bleeding in patients undergoing a hepatectomy using multiple machine learning and deep learning techniques.

Journal: Journal of clinical anesthesia

Published: June 14, 2021

Showing 1-12 of 45

Last Updated: 09/26/2026