AI Medical Compendium

[Artificial intelligence under scrutiny: requirements, quality criteria, and testing tools for medical applications].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Jul 14, 2025

The use of artificial intelligence (AI) in medicine has great potential to improve quality and efficiency. At the same time, its use is associated with risks. In order to prevent harm, experts from research and politics are developing requirements, t... read more

The Usability and Experience of Artificial Intelligence-Based Conversational Agents in Health Education for Cancer Patients: A Scoping Review.

Journal of clinical nursing Jul 14, 2025

BACKGROUND: Artificial intelligence-based conversational agents (CAs) have shown transformative potential in healthcare, yet their application in cancer health education has remained underexplored, particularly regarding usability and patients' exper... read more

Nurses' Insights on the Braden Scale and Their Vision for Artificial Intelligence Innovations: A Mixed Methods Study.

Journal of clinical nursing Jul 14, 2025

AIMS: This study aimed to explore nurses' experiences with the Braden Scale, assess their readiness for artificial intelligence (AI) technologies, and understand the innovations they envision for clinical practice. read more

Moving past multidisciplinary discussions and Gender-Age-Physiology model: precision medicine through biological phenotyping in interstitial lung disease.

Current opinion in pulmonary medicine Jul 14, 2025

PURPOSE OF REVIEW: Interstitial lung disease (ILD) presents significant diagnostic and therapeutic challenges due to underlying biological heterogeneity and variable clinical course. Traditional diagnostic and prognostic tools are limited in their ab... read more

Colon cancer survival prediction from gland shapes within histology slides using deep learning.

Journal of integrative bioinformatics Jul 14, 2025

This study investigates the application of deep learning techniques for segmenting glands in histopathological images of colorectal cancer. We trained two convolutional neural network models, U-Net and DCAN, on a combination of the GlaS and CRAG data... read more

A Novel Machine Learning Model for Predicting Natural Conception Using Non-Laboratory-Based Data.

Reproductive sciences (Thousand Oaks, Calif.) Jul 14, 2025

This study aimed to predict the likelihood of natural conception among couples by using a machine learning (ML) approach based on sociodemographic and sexual health data. This marks a novel, non-invasive methodology for fertility prediction. This pro... read more

Application of the digital annealer unit in optimizing chemical reaction conditions for enhanced production yields.

Journal of cheminformatics Jul 14, 2025

Finding optimal reaction conditions is crucial for chemical synthesis in the pharmaceutical and chemical industries. However, due to the vast chemical space, conducting experiments for all the possible combinations is impractical. Thus, quantitative ... read more

A radiomics-clinical predictive model for difficult laparoscopic cholecystectomy based on preoperative CT imaging: a retrospective single center study.

World journal of emergency surgery : WJES Jul 14, 2025

BACKGROUND: Accurately identifying difficult laparoscopic cholecystectomy (DLC) preoperatively remains a clinical challenge. Previous studies utilizing clinical variables or morphological imaging markers have demonstrated suboptimal predictive perfor... read more

Humans Machine Learning Algorithms Retrospective Studies Tomography, X-Ray Computed Female Aged Adult Radiomics Male Middle Aged Predictive Value of Tests Cholecystectomy, Laparoscopic

Advancing shock prediction: leveraging prior knowledge and self-controlled data for enhanced model accuracy and generalizability.

BMC medical informatics and decision making Jul 14, 2025

OBJECTIVES: Timely intervention in shock is vital, as delays over one hour greatly increase mortality. This study aims to develop an enhanced machine learning model that improves predictive performance by utilizing self-controlled data and applying f... read more

Humans Machine Learning Intensive Care Units Female Aged Male Middle Aged Shock

Evolving role of point-of-care ultrasound in prehospital emergency care: a narrative review.

Scandinavian journal of trauma, resuscitation and emergency medicine Jul 14, 2025

Point-of-care ultrasound is an emerging technology in prehospital emergency care, covering a wide range of medical and traumatic disease patterns. As an ad-hoc imaging modality, it is performed on-scene and during ground or aeromedical transport, ena... read more

Humans Point-of-Care Systems Ultrasonography Emergency Medical Services

Artificial Intelligence Medical Compendium