AIMC Topic: Artificial Intelligence

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Integrating Catholic Social Teaching with AI Ethics to Address Inequity in AI Healthcare.

Journal of religion and health
Artificial intelligence (AI) in healthcare can potentially improve patient outcomes, operational efficiency, and diagnostic accuracy. However, it also raises serious ethical issues, especially in light of possible disparities in the distribution and ...

Misunderstandings Regarding Sampling and the Role of Statistics in AI.

Journal of chemical information and modeling
Efforts in Artificial Intelligence (AI) to mimic human thinking often seem unbound. Therefore, creating proper guardrails in this context is the responsibility of the collective scientific community. Missteps in this process are inevitable. This View...

Trustworthy Artificial Intelligence in Dentistry: Learnings from the EU AI Act.

Journal of dental research
Artificial intelligence systems (AISs) gain relevance in dentistry, encompassing diagnostics, treatment planning, patient management, and therapy. However, questions about the generalizability, fairness, and transparency of these systems remain. Regu...

Artificial intelligence and psychedelic medicine.

Annals of the New York Academy of Sciences
Artificial intelligence (AI) and psychedelic medicines are among the most high-profile evolving disruptive innovations within mental healthcare in recent years. Although AI and psychedelics may not have historically shared any common ground, there ex...

Integrating large language models in care, research, and education in multiple sclerosis management.

Multiple sclerosis (Houndmills, Basingstoke, England)
Use of techniques derived from generative artificial intelligence (AI), specifically large language models (LLMs), offer a transformative potential on the management of multiple sclerosis (MS). Recent LLMs have exhibited remarkable skills in producin...

eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.

Sensors (Basel, Switzerland)
In this paper, we present the implementation of an artificial intelligence health assistant designed to complement a previously built eHealth data acquisition system for helping both patients and medical staff. The assistant allows users to query med...

Trial Factors Associated With Completion of Clinical Trials Evaluating AI: Retrospective Case-Control Study.

Journal of medical Internet research
BACKGROUND: Evaluation of artificial intelligence (AI) tools in clinical trials remains the gold standard for translation into clinical settings. However, design factors associated with successful trial completion and the common reasons for trial fai...

Enhancing Medical Interview Skills Through AI-Simulated Patient Interactions: Nonrandomized Controlled Trial.

JMIR medical education
BACKGROUND: Medical interviewing is a critical skill in clinical practice, yet opportunities for practical training are limited in Japanese medical schools, necessitating urgent measures. Given advancements in artificial intelligence (AI) technology,...

AI for BPH Surgical Decision-Making: Cost Effectiveness and Outcomes.

Current urology reports
PURPOSE OF REVIEW: Benign prostatic hyperplasia (BPH) is prevalent in nearly 70% of men over the age of 60, leading to significant clinical challenges due to varying symptom presentations and treatment responses. The decision to undergo surgical inte...

Quo vadis, planning?

The Behavioral and brain sciences
Deep meta-learning is the driving force behind advances in contemporary AI research, and a promising theory of flexible cognition in natural intelligence. We agree with Binz et al. that many supposedly "model-based" behaviours may be better explained...