AIMC Topic: Artificial Intelligence

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Can Gpt-4o Accurately Diagnose Trauma X-Rays? A Comparative Study with Expert Evaluations.

The Journal of emergency medicine
BACKGROUND: The latest artificial intelligence (AI) model, GPT-4o, introduced by OpenAI, can process visual data, presenting a novel opportunity for radiographic evaluation in trauma patients.

An overview of the applications of AI for detecting anatomical configurations in endodontics.

Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
BACKGROUND: Artificial intelligence (AI), which uses algorithms to replicate human intellect, allows robots to learn from data and complete complex tasks on their own.

Illuminating themes of ecovillages by leveraging participatory modeling: A convergent Gen-AI and Fuzzy Cognitive Maps approach.

Journal of environmental management
Ecovillages, as defined by the United Nations, are communities that focus primarily on aspects of sustainability. The research on ecovillages is vital, as it helps to uncover actionable artefacts of sustainable practices. However, much of the extant ...

A hybrid AI method for lung cancer classification using explainable AI techniques.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: The use of Artificial Intelligence (AI) methods for the analysis of CT (computed tomography) images has greatly contributed to the development of an effective computer-assisted diagnosis (CAD) system for lung cancer (LC). However, complex st...

Autonomous Self-Evolving Research on Biomedical Data: The DREAM Paradigm.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
In contemporary biomedical research, the efficiency of data-driven methodologies is constrained by large data volumes, the complexity of tool selection, and limited human resources. To address these challenges, a Data-dRiven self-Evolving Autonomous ...

The present and future of lung cancer screening: latest evidence.

Future oncology (London, England)
Lung cancer is the leading cause of cancer-related mortality worldwide. Early lung cancer detection improves lung cancer-related mortality and survival. This report summarizes presentations and panel discussions from a webinar, "The Present and Futur...

Multimodal fusion architectures for Alzheimer's disease diagnosis: An experimental study.

Journal of biomedical informatics
OBJECTIVE: In the attempt of early diagnosis of Alzheimer's Disease, varying forms of medical records of multiple modalities are gathered to seize the interaction of multiple factors. However, the heterogeneity of multimodal data brings a challenge. ...

Spotlights on novel strategic innovations on the artificial intelligence and deep learning driven quality control focuses in transfusion medicine, to optimize blood component safety and efficacy and minimize the potential pitfalls.

Transfusion and apheresis science : official journal of the World Apheresis Association : official journal of the European Society for Haemapheresis
Artificial intelligence (AI) combined with human intelligent, and machine learning (ML) are transforming quality control (QC) in transfusion medicine, enhancing efficiency, accuracy, and transfusion clinical safety. Traditional QC methods require ext...

Artificial intelligence in predicting EGFR mutations from whole slide images in lung Cancer: A systematic review and Meta-Analysis.

Lung cancer (Amsterdam, Netherlands)
BACKGROUND: Epidermal growth factor receptor (EGFR) mutations play a pivotal role in guiding targeted therapy for lung cancer, making their accurate detection essential for personalized treatment. Recently, artificial intelligence (AI) has emerged as...

Artificial intelligence-assisted endoscopic ultrasound diagnosis of esophageal subepithelial lesions.

Surgical endoscopy
BACKGROUND: Endoscopic ultrasound (EUS) is one of the most accurate methods for determining the originating layer of subepithelial lesions (SELs). However, the accuracy is greatly influenced by the expertise and proficiency of the endoscopist. In thi...