Artificial Intelligence Medical Compendium

BACKGROUND: Clinical documentation facilitates the delivery of safe, effective, and timely patient care. Failures in communication or inadequate documentation can contribute to poor patient outcomes. Multiple barriers exist to producing clinically me... read more 

OBJECTIVE: We evaluated the Spatial AI model on the Fortell AI hearing aids to see if it improves speech intelligibility in single-azimuth multitalker babble relative to a commercially available control hearing aid employing neural-network-based nois... read more 

AIM: Artificial intelligence (AI) has the potential to reshape the healthcare industry, particularly in disease detection, diagnosis and management, as well as in supporting clinical decision-making to enhance patient care. However, realising the ful... read more 

Diabetes mellitus is a global chronic disease that affects the whole body and not just glucose metabolism. In diabetes, non-invasive ocular changes can help understand microvascular, neurodegenerative, and inflammatory processes. This analysis looks ... read more 

Molecular simulation is a powerful tool to describe chemical and physical processes across length scales. Fundamental tradeoffs between the accuracy of quantum mechanics and speed of classical models makes simulating biosystems very difficult. Machin... read more 

OBJECTIVE: To evaluate and compare the performance of ChatGPT-5.5 (2026) and DeepSeek-V3 (2026) in classifying CRS resectability according to the EPOS 2020 guidelines, employing various prompting strategies. METHODS: In this retrospective study, 150 ... read more 

Artificial intelligence is being studied across the stroke care pathway, but evidence from acute diagnosis, early prognosis, rehabilitation-outcome prediction, and long-term management is often discussed without clearly separating these clinical task... read more 

Atmospheric fine particulate matter (PM2.5) is one of the most important risk factors for various respiratory and cardiovascular diseases. We develop a two-phase data-driven framework that uses geostationary Aerosol Optical Depth (AOD) retrievals to ... read more 

INTRODUCTION: The use of artificial intelligence (AI) technologies in healthcare has potential to improve patient care, expand access, and optimize efficiency. Yet, a growing body of evidence warns of health risks for marginalized and minoritized pop... read more 

SIGNIFICANCE: Intraoperative discrimination between malignant and benign tissue is essential for achieving complete tumor resection while preserving healthy structures. Robotic diffuse reflectance spectroscopy (DRS) enables automated intraoperative t... read more