Artificial Intelligence Medical Compendium

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

Showing 42,751 to 42,760 of 223,853 articles

Humanoid Robot-Assisted Support for Health Care in Older Adults: Systematic Scoping Review.

JMIR aging
BACKGROUND: Humanoid robots offer a promising solution to the growing burden of care for older adults. However, existing evidence on their applications for general aging populations remains fragmented and lacks systematic synthesis. OBJECTIVE: This s... read more 

Deep learning-based 4D robust optimization of intensity-modulated proton therapy for lung cancer radiotherapy.

Physics in medicine and biology
Intensity-modulated proton therapy (IMPT) provides steep dose gradients but is vulnerable to range uncertainties and respiratory motion, leading to interplay effects in lung cancer radiotherapy. This study aimed to develop a deep learning-based 4D op... read more 

CSSL-ISRVN: consistency self-supervised learning integrating ISTANet and sensitivity refinement-enhanced variational network for accelerated MRI reconstruction.

Physics in medicine and biology
OBJECTIVE: Magnetic resonance imaging is essential in clinical practice due to its non-invasive nature and superior soft-tissue contrast. However, long acquisition times remain a major limitation, leading to motion artifacts and patient discomfort. M... read more 

Definitions of early COPD and predictors for disease progression: a systematic review.

European respiratory review : an official journal of the European Respiratory Society
INTRODUCTION: Early chronic obstructive pulmonary disease (COPD) is considered to represent the initial phase of the disease. However, inconsistent terminology and lack of standardised definitions hinders research and clinical application. This syste... read more 

Imaging in the fast lane: Challenges and opportunities for expanding access to MRI.

AJNR. American journal of neuroradiology
MRI technology has continuously advanced since its inception in the 1980s, yet access to MRI remains restricted due to its high cost and traditionally long acquisition times. This article reviews access-oriented strategies for expanding MRI availabil... read more 

OCT-based myopic index: a biological predictor for the progression of high myopia.

The British journal of ophthalmology
BACKGROUND: The growth of axial length (AL) can lead to high myopia and ocular deformation, especially causing microstructural changes in the fundus, which cannot be fully quantified by AL alone. We propose an optical coherence tomography (OCT)-based... read more 

Neither this nor that but our own: AI as a 'third space' for Eritrean female genital mutilation survivors in the UK.

Medical humanities
Eritrean women face a difficult tension between the cultural context in which they experienced female genital mutilation (FGM) in their country of origin, where it was seen as social and moral protection, and the perspective in the UK, where it is co... read more 

Bose-Einstein Phonon Statistics Explain Drastic Thermal Conductivity Reduction in SWCNT Bundles.

Nano letters
The drastic reduction in thermal conductivity observed in bundled single-walled carbon nanotubes (SWCNTs) has eluded accurate theoretical prediction. We show that Bose-Einstein phonon statistics are essential to reproduce this effect. Using a machine... read more 

Assessment Tools of Radiation Skin Injury in Head and Neck Cancer: A Narrative Review of Preclinical and Clinical Studies.

Head & neck
Radiation skin injury (RSI) is an unavoidable side effect of radiotherapy that delays the treatment process and affects patients' quality of life. However, RSI is easily overlooked in clinical practice with unified assessment methods. Although over 2... read more 

Multimodal MRI radiomics for predicting HIFU ablation efficacy in uterine fibroids: a machine learning study.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group
OBJECTIVE: To explore the predictive value of machine learning-based multimodal MRI radiomics combined with clinical features in the efficacy of high-intensity focused ultrasound (HIFU) ablation of uterine fibroids. METHODS: This study included 390 p... read more