Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 40,981 to 40,990 of 223,737 articles

Tailoring Materials Design for Aqueous Energy Storage and Conversion through Electrochemical Reconstruction.

Chemical reviews Mar 17, 2026
The growing demand for renewable energy has spurred the development of efficient electrochemical systems. Transition metal-based materials serve as key electrode materials due to their tunable structures and redox activity, with electrochemical recon... read more 

Advancing Nursing Data Integration Through a Nursing Minimum Dataset for the Conceptual and Technical Development of a "Fall Prevention" Data Module: Development Study.

Journal of medical Internet research Mar 17, 2026
BACKGROUND: In aging populations, the demand for care, including care delivery in long-term care (LTC) facilities, is increasing. This situation highlights the need to optimize care processes through continuous scientific evaluation. The use of artif... read more 

Mandibular Distraction Osteogenesis as Paradigm Shift for Treatment of Tongue-Based Obstructive Apnea: Results of a 16-Year, Hospital-Wide Intervention Trial.

Plastic and reconstructive surgery Mar 17, 2026
BACKGROUND: Mandibular distraction osteogenesis (MDO) has emerged as the preferred surgical treatment for neonatal tongue-based airway obstruction (TBAO), yet comprehensive outcomes data comparing surgical and non-surgical approaches remain limited. ... read more 

SSI-Net: A hybrid physics-constrained deep learning framework for quantitative ultrasound speed-of-sound reconstruction.

Physics in medicine and biology Mar 17, 2026
OBJECTIVE: Quantitative ultrasound tomography faces challenges in reconstructing speed‑of‑sound (SoS) distributions due to the ill‑posed nature of the inverse problem and the computational complexity of full‑waveform inversion. This study aims to dev... read more 

Automated daily adaptation for breast cancer radiotherapy: benefits of deep learning-driven dose prediction workflow for CBCT-based adaptation.

Physics in medicine and biology Mar 17, 2026
Objective Daily anatomical variations can jeopardize the quality of modern radiotherapy (RT). Adaptive radiotherapy (ART) aims to address this by adjusting treatment plans according to the patient's daily anatomy. However, as implementation of AR... read more 

NNTV-GS：A fast reconstruction method combining nearest neighbor total variation and Gaussian splatting in dental offset detector CBCT.

Physics in medicine and biology Mar 17, 2026
OBJECTIVE: This study aims to address the slow reconstruction speed of iterative reconstruction algorithms in dental cone-beam computed tomography (CBCT) imaging while enhancing reconstruction accuracy. Specifically, the objective is to introduce a h... read more 

A deep learning-based framework for patient-specific radiation dose prediction in beta-emitting radionuclide therapies.

Physics in medicine and biology Mar 17, 2026
OBJECTIVE: Conventional image-based models for radionuclide therapy dosimetry are typically radionuclide-specific and rely on nuclear medicine (NM) images for training. We developed a deep learning (DL) model that predicts doses for not only training... read more 

Flow-QSM: bridging learned priors and physical models for quantitative susceptibility mapping.

Physics in medicine and biology Mar 17, 2026
OBJECTIVE: Quantitative Susceptibility Mapping (QSM) is a magnetic resonance imaging technique that quantifies tissue magnetic susceptibility by solving an ill-posed inverse problem from measured magnetic field perturbations. Its accuracy is ... read more 

Minimally invasive spine surgery: current advantages, limitations, and future directions.

Asian spine journal Mar 17, 2026
Minimally invasive spine surgery (MISS), supported by advancements in endoscopic systems, tubular retractors, lateral access corridors, image-guided navigation, and robotic assistance, has progressively expanded its role in the management of a broad ... read more 

Comparison of Left Ventricular Ejection Fraction Among 18F-FDG Dual-Gated PET/CT, Single-Gated PET/MRI, and Cardiac MRI.

Journal of nuclear medicine technology Mar 17, 2026
Left ventricular ejection fraction (LVEF) is a critical parameter in the evaluation of cardiac function, and its measurement can guide treatment decisions in patients with breast cancer undergoing chemotherapy. We obtained LVEF measurements with gate... read more 
Popular Topics
Recent Journals