Latest AI and machine learning research in domestic violence for healthcare professionals.
OBJECTIVE: AI adoption requires perceived value by end-users. AI-enabled opportunistic CT screening ...
We investigate the predictive value of a comprehensive model based on preoperative ultrasound radiom...
PURPOSE: This study aimed to evaluate the performance of large language models (LLMs) and multimodal...
OBJECTIVE: To assess the feasibility of using non-mydriatic fundus photography in conjunction with a...
PURPOSE: We assessed human papillomavirus (HPV) genotype-based risk stratification and the efficacy ...
In recent years, many neuroimaging studies have applied artificial intelligence (AI) to facilitate e...
Diabetes mellitus is a prevalent chronic disease necessitating timely identification for effective m...
Machine learning (ML) methods are becoming more prevalent in the neurology literature as alternative...
Structure-based virtual screening is a key tool in early drug discovery, with growing interest in th...
OBJECTIVES: Despite global research on early detection of age-related macular degeneration (AMD), no...
OBJECTIVE: Keratitis is the primary cause of corneal blindness worldwide. Prompt identification and ...
OBJECTIVES: It is feasible to evaluate bone mineral density (BMD) and detect osteoporosis through an...
High-energy impacts, like vehicle crashes or falls, can lead to pelvic ring injuries. Rapid diagnosi...
Immune checkpoint inhibitors targeting PD-L1 are crucial in cancer research for preventing cancer c...
IMPORTANCE: Previous research has shown good discrimination of short-term risk using an artificial i...
Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, ...
Metal-organic frameworks (MOFs) represent a distinctive class of nanoporous materials with considera...
The advent of large language models (LLMs) marks a transformative leap in natural language processin...
Artificial intelligence (AI) readers of mammograms compare favourably to individual radiologists in ...
BACKGROUND: With the rapid increase of chest computed tomography (CT) images, the workload faced by ...
Recent developments in affordable depth imaging hardware and the use of 2D Convolutional Neural Netw...