Latest AI in Medicine Research | AI Medical Compendium

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Augmenting decision making in acute care surgery: A systematic review of machine learning-driven risk prediction models.

The journal of trauma and acute care surgery Oct 22, 2025

BACKGROUND: Acute care surgery (ACS) involves rapid, high-stakes decisions with limited opportunity for preoperative planning. While machine learning (ML) may improve risk prediction and decision making in this setting, its development, validation, a... read more

Predictive factors for inter-agency partnership success.

Evaluation and program planning Oct 21, 2025

Building partnerships among development cooperation agencies strengthens their collective capacity. However, 2 partnerships out of 10 fail to achieve their intended objectives. Ex-ante evaluation of future partnerships should help attain a higher rat... read more

Revolutionizing Gastroenterology With Artificial Intelligence: Clinical Insights and Challenges.

Gastroenterology Oct 21, 2025

Influences of growth media and culture time on the SERS spectral patterns of three common pathogenic bacteria: a comparative analysis.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Oct 21, 2025

Surface-enhanced Raman spectroscopy (SERS) has emerged as a powerful tool for clinical microorganism identification, offering significant advantages over traditional culture-based methods, including minimal sample requirements, rapid detection, and o... read more

Development of an Explainable Machine Learning Model to Predict Mortality Risk in Sepsis Patients: Insights From a Real-World Clinical Data.

Shock (Augusta, Ga.) Oct 21, 2025

BACKGROUND: Sepsis is a life-threatening dysregulated host response to infection; early risk stratification is essential to guide intensive care. OBJECTIVE: To develop and interpret a machine learning model for predicting in-hospital mortality among ... read more

Artificial intelligence in surgery: Redefining intelligence assessment for the Operating room.

American journal of surgery Oct 21, 2025

Early Childhood Ear Diseases and Traumatic Dental Injuries: A Machine Learning Approach.

Dental traumatology : official publication of International Association for Dental Traumatology Oct 21, 2025

OBJECTIVE: Traumatic dental injury (TDI) is the world's fifth most common injury affecting children and adolescents. This study aimed to predict TDI based on ear problems and other factors among Australian children aged 4 years or over. METHODS: We u... read more

Artificial Intelligence and Machine Learning for Risk Prediction of Abdominal Aortic Aneurysm Growth and Rupture.

Angiology Oct 21, 2025

Artificial intelligence (AI) and machine learning (ML) are emerging tools in the management of abdominal aortic aneurysms (AAA). They have offered new tools to develop advanced imaging analysis and prediction models. This narrative review summarizes ... read more

A Scalable and Robust Ensemble Deep Learning Method for Predicting Drug-Target Interactions.

Interdisciplinary sciences, computational life sciences Oct 21, 2025

Accurate identification of drug-target interactions (DTIs) is a crucial step in drug discovery. Computational DTI prediction methods can significantly reduce the time and cost associated with drug development. However, effectively integrating multiso... read more

Artificial-Intelligence-based Surgical Phase Recognition in Robot-Assisted Radical Prostatectomy and Cross-Surgeon Validation.

Annals of surgical oncology Oct 21, 2025

BACKGROUND: Artificial intelligence (AI) has shown potential in various fields; however, its practical application in surgery remains limited. We developed an AI system capable of automatically recognizing surgical phases in robot-assisted radical pr... read more

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