Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 58,311 to 58,320 of 227,634 articles

[Precision surgical treatment for middle and low rectal cancer in the era of artificial intelligence].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Jan 25, 2026
Precise preoperative assessment and the development of individualized surgical strategies are critical determinants in minimizing operative risks and enhancing surgical outcomes, serving as a cornerstone for improving long-term patient survival. The ... read more 

[Artificial intelligence prediction of surgical difficulty in mid-low rectal cancer: a single-center cohort study].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Jan 25, 2026
Objective: This study processes and analyzes rectal MRI images of patients with mid-to-low rectal cancer using deep learning technology, and integrates these data with clinical baseline information to construct a fully automated end-to-end prediction... read more 

[Current applications and development trends of artificial intelligence in gastric cancer surgery].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Jan 25, 2026
With the development of artificial intelligence (AI) technology, AI has demonstrated potential in the diagnosis, treatment, and management of gastric cancer. This article discussed the current applications, challenges, and future trends of AI in gast... read more 

[Diagnosis and treatment of colorectal cancer in the era of artificial intelligence: review and prospect].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery Jan 25, 2026
In recent years, artificial intelligence (AI) has achieved groundbreaking progress in the field of medicine, particularly in the diagnosis and treatment of colorectal cancer (CRC). In terms of data analysis, AI-assisted diagnosis and treatment has si... read more 

[Clinical Implementation of Artificial Intelligence in Endoscopy: A Human-Artificial Intelligence Interaction Perspective].

The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi Jan 25, 2026
Artificial intelligence (AI) for gastrointestinal endoscopy has shown remarkable performance in detecting and characterizing lesions. A randomized controlled trial reported that AI significantly reduced the miss rates for gastric neoplasms, but real-... read more 

[Magnetically Controlled Capsule Endoscopy for Upper Gastrointestinal Examination].

The Korean journal of gastroenterology = Taehan Sohwagi Hakhoe chi Jan 25, 2026
Esophagogastroduodenoscopy (EGD) is the standard diagnostic modality for upper gastrointestinal (UGI) diseases, but its invasive nature and the risk of sedation-related adverse events limit its applicability in certain patients. Magnetically controll... read more 

Peptide-responsive photonic hydrogels integrated with deep learning assistance for early MMP-9 detection.

Biosensors & bioelectronics Jan 24, 2026
Matrix metalloproteinase-9 (MMP-9) is crucial for extracellular matrix remodeling, and its dysregulation is associated with inflammatory diseases and different forms of cancer. Conventional MMP-9 detection methods such as enzyme-linked immunosorbent ... read more 

Comprehensive review of heart disease prediction: A comparative study from 2019 onwards.

Artificial intelligence in medicine Jan 24, 2026
In recent decades, cardiovascular disease, or heart disease, has been the number one cause of death worldwide, establishing an urgent need for timely and accurate early diagnosis. The primary purpose of this review is to examine the current state of ... read more 

Development and temporal validation of machine learning models for predicting clinically relevant medication reconciliation discrepancies at the emergency department: A single-center retrospective study.

International journal of medical informatics Jan 24, 2026
OBJECTIVE: Medication discrepancies at hospital admission are common and can cause preventable patient harm. Predictive models can help prioritize medication reconciliation for high-risk patients. This study aimed to develop and validate machine lear... read more 

Effectiveness of AI- and VR-based simulation with traditional teaching in healthcare education: A network meta-analysis.

Nurse education today Jan 24, 2026
AIMS: (i) To summarize the application scenarios and teaching models of AI and VR in healthcare education. (ii) To compare teaching outcomes between AI, VR, and traditional methods. (iii) To identify the relative advantages of AI and VR in different ... read more 
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