AI Medical Compendium

Performance of large language models and clinical decision support in perioperative management of oral anticoagulants.

International journal of medical informatics Apr 30, 2026

BACKGROUND: Perioperative anticoagulant management is critical because of the competing risks of ischemia and bleeding. Large language models (LLMs) and clinical decision support (CDS) have shown substantial advances and are increasingly being applie... read more

Clinical evaluation of deep learning accelerated 3D magnetic resonance cholangiopancreatography at 1.5 T and 3 T.

European journal of radiology Apr 30, 2026

OBJECTIVE: Routine clinical 3D magnetic resonance cholangiopancreatography (MRCP) is typically performed either as lower resolution breath-hold (BH) acquisition or higher resolution triggered navigator breathing (NAV) acquisition with a longer acquis... read more

Who's really in the loop? Rethinking oversight in AI-assisted health care.

Lancet (London, England) Apr 30, 2026

Human-in-the-loop oversight is widely invoked as a safeguard against potential harm from artificial intelligence (AI) used in health care, yet it functions more as symbolic reassurance than substantive protection. We argue that human-in-the-loop fail... read more

Trends in accuracy management of continuous glucose monitoring systems.

Diabetology international Apr 30, 2026

Continuous glucose monitoring (CGM) has markedly advanced diabetes care by enabling real-time visualization of glycaemic variability, prevention of hypoglycaemia, and direct integration into therapeutic decision-making. As CGM use expands in routine ... read more

Accurate identification of goat milk on small-scale geographical origin: A nuclear magnetic resonance spectrometry and machine learning study.

Food chemistry Apr 30, 2026

Fuping goat milk powder is a kind of geographical indication protected food in China. To realize a rapid and accurate identification of Fuping goat milk, in this paper, an identification method was proposed based on nuclear magnetic resonance and mac... read more

Predicting the viability of pharmaceutical formulations for continuous direct compression using machine learning approaches.

International journal of pharmaceutics Apr 30, 2026

Pharmaceutical formulation is the activity in which the chemical substances that form a final medicinal product are combined, including the active pharmaceutical ingredient and excipients. Changes in formulation from variations in excipients, their c... read more

The Kinematic Chain in Hindustani Classical Singing: An Exploratory Bioacoustic Pilot Study of Seated Posture and Vocal Quality.

Journal of voice : official journal of the Voice Foundation Apr 30, 2026

Seated posture (Asana) is an important part of Hindustani classical vocal pedagogy, yet its biomechanical function remains under-researched. This exploratory pilot study applies "Kinematic Chain" theory-where proximal stability dictates distal mobili... read more

Discovery of novel MDM2 inhibitors from a Penicillium metabolome library: An integrated phylogenetic, machine learning, and molecular simulation approach.

Journal of molecular graphics & modelling Apr 30, 2026

Restoring the tumor-suppressor function of p53 by inhibiting its negative regulator, MDM2, represents a significant therapeutic avenue for cancers that maintain wild-type p53. This research aimed to identify new MDM2 inhibitors through a phylogenetic... read more

An integrated machine learning and computational framework with experimental validation for the identification of novel CXCR4 inhibitors.

European journal of medicinal chemistry Apr 30, 2026

Chemokine receptor 4 (CXCR4) is a clinically significant G protein-coupled receptor implicated in HIV-1 entry, cancer progression, immune regulation, and metastatic dissemination, making it an attractive therapeutic target. This study employed an int... read more

Integrating statistical and machine learning approaches to characterise and model the performance of a full-scale wastewater treatment plant.

Journal of environmental management Apr 30, 2026

Wastewater treatment plants operate under highly variable influent conditions, challenging process control and regulatory compliance. This study proposes a machine learning framework based on threshold artificial neural networks optimised with geneti... read more

Artificial Intelligence Medical Compendium