AIMC Topic: Artificial Intelligence

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Diagnostic Accuracy and Clinical Value of a Domain-specific Multimodal Generative AI Model for Chest Radiograph Report Generation.

Radiology
Background Generative artificial intelligence (AI) is anticipated to alter radiology workflows, requiring a clinical value assessment for frequent examinations like chest radiograph interpretation. Purpose To develop and evaluate the diagnostic accur...

Comparing Explanations of Molecular Machine Learning Models Generated with Different Methods for the Calculation of Shapley Values.

Molecular informatics
Feature attribution methods from explainable artificial intelligence (XAI) provide explanations of machine learning models by quantifying feature importance for predictions of test instances. While features determining individual predictions have fre...

Leveraging Artificial Intelligence and Radiomics for Improved Nasopharyngeal Carcinoma Prognostication.

Cancer medicine
INTRODUCTION: Nasopharyngeal carcinoma (NPC) typically presents as advanced disease due to the lack of significant symptoms in the early stages. Accurate prognostication is therefore challenging as current methods based on anatomical staging often la...

Microbial Technologies Enhanced by Artificial Intelligence for Healthcare Applications.

Microbial biotechnology
The combination of artificial intelligence (AI) with microbial technology marks the start of a major transformation, improving applications throughout biotechnology, especially in healthcare. With the capability of AI to process vast amounts of biolo...

Human-AI Interaction in the ScreenTrustCAD Trial: Recall Proportion and Positive Predictive Value Related to Screening Mammograms Flagged by AI CAD versus a Human Reader.

Radiology
Background The ScreenTrustCAD trial was a prospective study that evaluated the cancer detection rates for combinations of artificial intelligence (AI) computer-aided detection (CAD) and two radiologists. The results raised concerns about the tendency...

Understanding artificial intelligence through the eyes of future nurses: Insights from nursing students.

Saudi medical journal
OBJECTIVES: To explore nursing students' perceptions and understanding of artificial intelligence (AI), aiming to identify and address critical knowledge gaps to support effective integration into educational practices.

A glance into the future of artificial intelligence-enhanced scalable personalized training: A response to Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025).

Psychotherapy (Chicago, Ill.)
The two articles by Kopelovich, Brian, et al. (2025) and Kopelovich, Slevin, et al. (2025) mark a new era in psychotherapy research and practice. The articles detail the development and validation of one of the first conversational artificial intelli...

Artificial Intelligence and the Future of Psychotherapy: A Medical Student Perspective.

Psychodynamic psychiatry
This article explores the ways artificial intelligence (AI) may impact the field of psychotherapy through the perspective of a prospective psychiatric trainee. The author discusses how AI may facilitate psychotherapy training and increase psychothera...

Navigating the Artificial Intelligence Revolution: The Future of General Practice in India.

The Journal of the Association of Physicians of India
This article explores the integration of artificial intelligence (AI) into general medical practice in India. It discusses global AI healthcare trends and India's strategic approach of leveraging AI for societal benefit through public service applica...

Towards artificial intelligence application in pain medicine.

Recenti progressi in medicina
Pain is a complex, multidimensional experience involving significant challenges in both diagnosis and management. While acute pain serves as a critical warning mechanism, chronic pain encompasses intricate biological, psychological, and social compon...