AIMC Topic: Artificial Intelligence

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AI in Point-of-Care - A Sustainable Healthcare Revolution at the Edge.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
This paper examines the integration of artificial intelligence (AI) in point-of-care testing (POCT) to enhance diagnostic speed, accuracy, and accessibility, particularly in underserved regions. AI-driven POCT is shown to optimize clinical decision-m...

Indigenous Data Sovereignty, Circular Systems, and Solarpunk Solutions for a Sustainable Future.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Recent advancements in Artificial Intelligence (AI) and data center infrastructure have brought the global cloud computing market to the forefront of conversations about sustainability and energy use. Current policy and infrastructure for data center...

Earth Friendly Computation: Applying Indigenous Data Lifecycles in Medical and Sovereign AI.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
The following sections are included: Overview, Background & key terms, Earth Friendly Computation 574: Indigenous Data Sovereignty, Circular Systems, and Solarpunk Solutions for a Sustainable Future, AI in Point-of-Care: A Sustainable Healthcare Revo...

ClinValAI: A framework for developing Cloud-based infrastructures for the External Clinical Validation of AI in Medical Imaging.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Artificial Intelligence (AI) algorithms showcase the potential to steer a paradigm shift in clinical medicine, especially medical imaging. Concerns associated with model generalizability and biases necessitate rigorous external validation of AI algor...

Implications of An Evolving Regulatory Landscape on the Development of AI and ML in Medicine.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
The rapid advancement of artificial intelligence and machine learning (AI/ML) technologies in healthcare presents significant opportunities for enhancing patient care through innovative diagnostic tools, monitoring systems, and personalized treatment...

Artificial Allies: Validation of Synthetic Text for Peer Support Tools through Data Augmentation in NLP Model Development.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
This study investigates the potential of using synthetic text to augment training data for Natural Language Processing (NLP) models, specifically within the context of peer support tools. We surveyed 22 participants-13 professional peer supporters an...

A Visual Analytics Framework for Assessing Interactive AI for Clinical Decision Support.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Human involvement remains critical in most instances of clinical decision-making. Recent advances in AI and machine learning opened the door for designing, implementing, and translating interactive AI systems to support clinicians in decision-making....

Session Introduction: AI and Machine Learning in Clinical Medicine: Generative and Interactive Systems at the Human-Machine Interface.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
Artificial Intelligence (AI) technologies are increasingly capable of processing complex and multilayered datasets. Innovations in generative AI and deep learning have notably enhanced the extraction of insights from both unstructured texts, images, ...

Living on the Edge: Paradoxical Experiences with Ethics (Reprinted with permission).

Nursing science quarterly
Paradox is living phenomenon that provides insights into straight thinking and diverse human experiences important to the discipline of nursing from a nursing philosophical theory-based approach. The author here delves into the metaphorical experienc...

DeepTransformer: Node Classification Research of a Deep Graph Network on an Osteoporosis Graph based on GraphTransformer.

Current computer-aided drug design
BACKGROUND: Osteoporosis (OP) is one of the most common diseases in the elderly population. It is mostly treated with medication, but drug research and development have the disadvantage of taking a long time and having a high cost.