AIMC Topic: Artificial Intelligence

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Leveraging LLMs for Environmental Complexity: Structured Fine-Tuning Data Sets and Deployment Strategies.

Environmental science & technology
Generative artificial intelligence, especially large language models (LLMs), could accelerate environmental analysis, but deployment is hindered by two gaps: limited structured domain knowledge and unclear strategies matched to environmental decision...

DRPMKB1.0: A Comprehensive Knowledge Base for an AI-Oriented Drug Repositioning Prediction Model.

Journal of chemical information and modeling
Drug repositioning (DR) reduces the risks and costs of drug development by identifying new uses for approved drugs. The rapid growth of artificial intelligence (AI) has led to many computational models. However, without effective integration, excess ...

Enhanced fracture detection on radiographs with AI assistance for clinicians: a systematic review and meta-analysis.

Annals of medicine
BACKGROUND: Emergency radiographic interpretation for fractures is prone to missed or misdiagnoses. Artificial intelligence (AI) is expected to become a powerful tool to assist clinicians in fracture detection.

Artificial intelligence guidance in ethically challenging clinical scenarios in child and adolescent psychiatry: a qualitative study in the context of Turkiye.

BMC medical ethics
BACKGROUND: Ethical decision-making in child and adolescent psychiatry (CAP) is inherently complex, shaped by developmental vulnerability, evolving autonomy, and competing responsibilities to patients, families, and the legal system. Clinicians often...

Artificial intelligence in the workplace: a living systematic review protocol on worker safety, health, and well-being implications.

Systematic reviews
BACKGROUND: Advancements in artificial intelligence (AI) are transforming employment and working conditions in ways that shape the safety, health, and well-being of workers. We describe a protocol for a living systematic review (LSR) that will examin...

Evaluation of Few-Shot AI-Generated Feedback on Case Reports in Physical Therapy Education: Mixed Methods Study.

JMIR medical education
BACKGROUND: While artificial intelligence (AI)-generated feedback offers significant potential to overcome constraints on faculty time and resources associated with providing personalized feedback, its perceived usefulness can be undermined by algori...

Artificial Intelligence-Enhanced Multi-Algorithm R Shiny Application for Predictive Modeling and Analytics: Case Study of Alzheimer Disease Diagnostics.

JMIR aging
BACKGROUND: Artificial intelligence (AI) has demonstrated superior diagnostic accuracy compared with medical practitioners, highlighting its growing importance in health care. SMART-Pred (Shiny Multi-Algorithm R Tool for Predictive Modeling) is an in...

Physician Perspectives on the Impact of Artificial Intelligence on the Therapeutic Relationship in Mental Health Care: Qualitative Study.

JMIR mental health
BACKGROUND: The therapeutic relationship is a professional partnership between clinicians and patients that supports open communication and clinical decision-making. This relationship is critical to the delivery of effective mental health care. The i...

Artificial intelligence for predicting the axial length response of orthokeratology in myopic children.

Physics in medicine and biology
This study aimed to automate the extraction of local corneal topography (CT) features in myopic children undergoing orthokeratology (OK), evaluate their causal effects on axial length (AL) control, and develop a predictive model for AL progression.We...

Collaborative artificial intelligence for the diagnosis and management of acute ischemic stroke.

Annals of medicine
BACKGROUND: Acute Ischemic Stroke (AIS) remains a critical global health challenge that requires continuous improvement in diagnostic strategies. Timely and accurate diagnosis is essential for effective reperfusion therapies such as intravenous throm...