Frontiers

Postoperative recurrence prediction model for perianal abscess using machine learning algorithms

Objective: This study aimed to develop a machine learning–based model to predict recurrence risk after perianal abscess surgery, thereby supporting personalized follow-up and intervention strategies.
Scientific Research Publishing

Zeng, L., Liu, L., Chen, D., Lu, H., Xue, Y., Bi, H., et al. (2023) The Innovative Model Based on Artificial Intelligence Algorithms to Predict Recurrence Risk of Patients with ...

ABSTRACT: Introduction: Breast Cancer (BC) remains a significant health concern worldwide, and accurate prediction of its recurrence after surgery is vital for patient management and treatment ...
BMJ

Development and training of a machine learning algorithm to identify patients at risk for recurrence following an arthroscopic Bankart repair (CLEARER): protocol for a ...

Introduction Shoulder instability is a common injury, with a reported incidence of 23.9 per 100 000 person-years. There is still an ongoing debate on the most effective treatment strategy.
drugtargetreview.com

New algorithm forms atlas of histomorphological phenotypes

The algorithm can accurately diagnose cases of lung adenocarcinoma, determining structural features that are statistically most significant for assessing disease severity and likelihood of tumour ...
Breaking Defense

P-8 ‘trilateral algorithm’ to hit field this year, as AUKUS Pillar II eyes quantum clocks, AI projects

A P-8A Poseidon from the “Pelicans” of Patrol Squadron (VP) 45 flies by the aircraft carrier USS Nimitz (CVN 68). (U.S. Navy photo by Mass Communication Specialist 2nd Class Caitlin Flynn) WASHINGTON ...