AIMC Topic: Anesthesiology

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Feasibility of a Specialized Large Language Model for Postgraduate Medical Examination Preparation: Single-Center Proof-Of-Concept Study.

JMIR formative research
BACKGROUND: Large language models (LLMs) are increasingly used in medical education for feedback and grading; yet their role in postgraduate examination preparation remains uncertain due to inconsistent grading, hallucinations, and user acceptance.

Artificial intelligence in anesthesia: comparison of the utility of ChatGPT v/s google gemini large language models in pre-anesthetic education: content, readability and sentiment analysis.

BMC anesthesiology
BACKGROUND: Large Language Models (LLMs) such as ChatGPT and Google Gemini are increasingly explored for their potential in patient education, particularly in the perioperative setting. As text-based tools trained on extensive datasets, they can gene...

Artificial Intelligence in Pediatric Anesthesia.

Anesthesiology clinics
This text explores the integration of artificial intelligence (AI) into pediatric anesthesiology, highlighting its potential to enhance safety, efficiency, and decision-making throughout the perioperative period. It addresses the unique challenges of...

The Role of Artificial Intelligence in Anesthesia Monitoring and Surveillance.

Anesthesiology clinics
Artificial intelligence (AI) has the potential to significantly improve monitoring in the operating room, allowing us to detect and predict changes in the patient's physiology sooner and better optimize patient care. Currently, clinically available a...

Artificial Intelligence in Medical Education.

Anesthesiology clinics
Artificial intelligence (AI) provides tremendous opportunities for growth in medical education. With advances in technology, AI systems can now augment a variety of workflows critical to education. This article reviews the scope and some key use case...

The Role of Artificial Intelligence in Preoperative Assessment, Surgical Risk Stratification, and Predictive Analytics in Anesthesiology and Critical Care.

Anesthesiology clinics
Anesthesiology and critical care medicine contain a vast repository of patient data that can be analyzed and decoded by artificial intelligence applications. Although there has been a rapid growth in the development of predictive analytics to improve...

Leveraging Large Language Models to Enhance Emotional Intelligence Training in Anesthesiology.

Anesthesiology
Emotional intelligence is essential for high-stakes interactions in the perioperative setting. Whether addressing patient concerns, resolving conflicts, or triaging cases, anesthesiologists rely on emotional intelligence for effective communication. ...

The Practical and Ethical Implications of Artificial Intelligence in Anesthesiology, Pain Medicine, and Intensive Care: Safeguards.

Anesthesiology clinics
Artificial intelligence (AI) has the potential to revolutionize anesthesiology, pain medicine, and intensive care by enhancing decision-making, minimizing errors, and personalizing patient care. However, the practical and ethical challenges it presen...

Applied Artificial Intelligence in Airway Management: A Narrative Review.

Anesthesiology clinics
The application of artificial intelligence (AI) is progressing as a revolutionary force in medicine. Growing evidence in clinical practice has set foot into anesthesiology, undertaking all its related tasks. Airway management, a complex multimodal fu...

Artificial Intelligence in Anesthesiology Drug Administration.

Anesthesiology clinics
The integration of artificial intelligence (AI) into anesthetic drug administration represents a significant advancement in modern health care, offering enhanced precision, safety, and efficiency compared with traditional methods. This article review...