AI Medical Compendium

Sharing Experiences on the Use of Artificial Intelligence in Nursing Education.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners Mar 1, 2026

Learning 3-D Ultrasound Segmentation under Extreme Label Deficiency.

Ultrasound in medicine & biology Mar 1, 2026

OBJECTIVE: 3-D ultrasound imaging has shown great promise in clinical diagnosis by offering comprehensive volumetric assessment of organs and anatomical structures. Automatic segmentation of these anatomical structures from 3-D ultrasound images play... read more

Modeling Polymeric Drug Release: The Emerging Role of Machine Learning.

Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology Mar 1, 2026

Polymeric drug formulations have significantly improved the safety, efficacy, and clinical impact of many therapies. A persistent challenge for formulation scientists, however, lies in accurately characterizing time-dependent drug release. For decade... read more

AI agents are 'aeroplanes for the mind': five ways to ensure that scientists are responsible pilots.

Nature Mar 1, 2026

Machine Learning Reveals the Association Between Gene Expression and Immune Infiltration in Colorectal Cancer: A Comprehensive Study From Single-Cell to Survival Analysis.

Journal of cellular and molecular medicine Mar 1, 2026

Colorectal cancer (CRC) is one of the most common causes of cancer mortality globally. Analysis of immune cell infiltration patterns in the tumour microenvironment (TME) is critical to treatment outcomes, but the molecular mechanisms which regulate t... read more

A new perspective on real-time monitoring and function interpretation of nitrification based on machine learning and mass-to-charge fingerprint.

Water research Mar 1, 2026

The stability of nitrification driven by nitrifying bacteria is susceptible to fluctuations in operating parameters. The traditional physicochemical parameters cannot directly reveal the metabolic activity of microorganisms; it remains essential to i... read more

From algorithmic innovation to clinical deployment: A systematic review of methodological gaps limiting federated learning in healthcare.

International journal of medical informatics Mar 1, 2026

OBJECTIVE: Federated learning (FL) is a distributed machine learning paradigm designed to enable model training across decentralized data sources without requiring data centralization. This review critically examines FL as a methodological approach i... read more

Evaluation of Information Generated by ChatGPT on Preventing Peripheral Venous Catheter-Related Infections.

Nursing open Mar 1, 2026

AIM: To evaluate the accuracy and completeness of information generated by ChatGPT models in preventing peripheral intravenous catheter-related infections. BACKGROUND: Peripheral intravenous catheters are vital for administering medication and fluids... read more

Prediction of SCA Scores in Specialty Coffee Using Machine Learning.

Journal of food science Mar 1, 2026

Coffee is a major global commodity, with specialty coffees valued for their quality, assessed through standardized sensory protocols. The SCA (Specialty Coffee Association) score is a key indicator of commercial value, but sensory evaluation is resou... read more

Deep Learning Models for Shelf Life Prediction and Regulation of Various Foods: A Systematic Review.