Use of Multimodal Artificial Intelligence in Surgical Instrument Recognition.

Accurate identification of surgical instruments is crucial for efficient workflows and patient safety within the operating room, particularly in preventing complications such as retained surgical instruments. Artificial Intelligence (AI) models have shown the potential to automate this process. This study evaluates the accuracy of publicly available Large Language Models (LLMs)-ChatGPT-4, ChatGPT-4o, and Gemini-and a specialized commercial mobile application, Surgical-Instrument Directory (SID 2.

Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules.

Current clinical care relies heavily on complex, rule-based systems for tasks like diagnosis and treatment. However, these systems can be cumbersome and require constant updates. This study explores the potential of the large language model (LLM), LLaMA 2, to address these limitations.

Challenges in practice and training structure of residents in obstetric anaesthesia: A perspective from teaching hospitals in Sindh province of Pakistan.

Objectives: To document information on the available obstetric anaesthesia services and structure of resident training in a Pakistani setting.

Methods: The survey was conducted from June to September 2018 across the Sindh province of Pakitan after approval from the ethics reiew committee of the Pakistan Society of Anaesthesiology, and covered all teaching hospitals in both public and private sectors recognised for residents' training for fellowship in Anaesthesiology by the College of Physician and Surgeons of Pakistan. A standardised questionnaire was filled by either the department chairperson or a senior designated faculty member in each institution regarding obstetric anaesthesia services and structure of resident training.

Constructing Interfacial B-P Bonding Bridge to Promote S-Scheme Charge Migration within Heteroatom-Doped Carbon Nitride Homojunction for Efficient HO Photosynthesis.

The emerging step (S)-scheme heterojunction systems became a powerful strategy in promoting photogenerated charge separation while maintaining their high redox potentials. However, the weak interfacial interaction limits the charge migration rate in S-scheme heterojunctions. Herein, we construct a unique S-scheme carbon nitride (CN) homojunction with boron (B)-doped CN and phosphorus (P)-doped CN (B-CN/P-CN) for hydrogen peroxide (HO) photosynthesis.

Artificial intelligence in clinical settings: a systematic review of its role in language translation and interpretation.

Background: Addressing language barriers through accurate interpretation is crucial for providing quality care and establishing trust. While the ability of artificial intelligence (AI) to translate medical documentation has been studied, its role for patient-provider communication is less explored. This review evaluates AI's effectiveness in clinical translation by assessing accuracy, usability, satisfaction, and feedback on its use.