AI Medical Compendium

Machine Learning-Based Beam Delivery Time Model for Mevion S250i With Hyperscan Technology.

International journal of particle therapy Feb 2, 2026

PURPOSE: Accurate prediction of beam delivery time (BDT) is critical for operational efficiency, 4D dose calculations, and advanced proton therapy techniques. Despite its importance, no machine-specific BDT model exists for Mevion systems. METHODS: W... read more

Machine learning-assisted screening of small-molecule drugs for suppressing protein aggregation and ROS generation based on ECL and CV dual-mode signals amplified by DNA.

Chemical science Feb 2, 2026

Screening of small-molecule drugs to suppress both protein aggregation and reactive oxygen species (ROS) generation is critical for developing therapies for neurodegenerative diseases (NDs). However, existing methods are limited to characterizing onl... read more

Micro-/nanorobots in nanomedicine - Guidance, imaging and the integration of AI and robotics.

Biochemical and biophysical research communications Feb 2, 2026

The integration of robotics and artificial intelligence (AI) into nanomedicine represents a significant advancement in developing targeted therapeutic and diagnostic platforms. This field focuses on engineering micro- and nanoscale agents, such as ma... read more

Identification of patients at risk for adverse events and poor symptom improvement after transcatheter aortic valve implantation.

American heart journal plus : cardiology research and practice Feb 2, 2026

BACKGROUND: Transcatheter aortic valve implantation (TAVI) aims to improve symptoms and prognosis, while minimising adverse outcomes. Available prediction models focus on individual outcomes, but those combining adverse events and symptom improvement... read more

Development and multicentre validation of an artificial intelligence electrocardiogram model for ventricular remodeling in repaired tetralogy of Fallot.

European heart journal. Digital health Feb 2, 2026

AIMS: Periodic cardiac MRI (CMR) is recommended to identify adverse ventricular remodelling in repaired tetralogy of Fallot (TOF), but access to CMR is uneven, and compliance is poor. We developed a 12-lead electrocardiogram (ECG) artificial intellig... read more

Machine Learning-based Radiomic Model for Early Diagnosis of Male Urethral Injury in Pelvic Fracture Patients.

European urology open science Feb 2, 2026

BACKGROUND AND OBJECTIVE: Pelvic fracture urethral injury (PFUI) is serious and requires prompt diagnosis. Traditional diagnostic methods, which rely on clinical evaluation and invasive imaging, are subjective and can cause delays. This study aims to... read more

Development and Assessment of a Custom GPT-4o Chatbot for Postoperative Counseling and Frequently Asked Questions in Breast Surgery Patients.

Annals of plastic surgery Feb 2, 2026

PURPOSE: Chatbots have an impressive ability to answer patient inquiries and assist medical personnel, but they are limited by specialty-specific knowledge deficits and a lack of informational integrity. These issues can be addressed by training chat... read more

Predictive modeling of millet growth in pesticide- and vinasse-amended soils using SHAP regression interpretation.

Scientific reports Feb 2, 2026

Cardiovascular measures from abdominal MRI provide insights into abdominal vessel genetic architecture.

Communications medicine Feb 2, 2026

BACKGROUND: Cardiovascular disease remains a major source of morbidity and mortality, and population imaging studies have yielded insights into disease etiology and risk. METHODS: In this study, we segment the heart, aorta, and vena cava from abdomin... read more

Spectroscopic and machine learning approaches for clinical subtyping in systemic sclerosis.