Artificial Intelligence Medical Compendium

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

Showing 20,471 to 20,480 of 215,962 articles

Large language model assisted hyper-heuristic evolutionary algorithm for groundwater level prediction.

Scientific reports
This paper proposes a novel Large Language Model (LLM)-assisted hyper-heuristic evolutionary algorithm framework (LLMHHEA) to enhance the accuracy of groundwater level (GWL) prediction. Traditional models and artificial neural networks (ANNs) have li... read more 

Offspring genetic diversity regulates rearing experiences that predict differential susceptibility to Chd8 haploinsufficiency.

Communications biology
Loss-of-function mutations in the autism-associated CHD8 gene are highly penetrant for trait and behavioral abnormalities in children, but there is substantial clinical heterogeneity in the occurrence and extent of disruptions between individuals. Us... read more 

An SE(3)-equivariant and dynamic multi-modal engine advancing from PTM site prediction to network understanding.

Communications chemistry
Protein post-translational modifications (PTMs) orchestrate complex cellular processes, yet current computational methods predominantly tre at them as isolated sequence events. This reductionist approach-coupled with an inability to model 3D steric c... read more 

Multidimensional balance assessment and machine learning gait stability prediction in elderly women.

Scientific reports
To develop and validate a comprehensive balance assessment scale specifically designed for elderly women and construct predictive models for gait stability outcomes using machine learning approaches. A total of 276 community-dwelling elderly women ag... read more 

AI-driven real-time detection of motorcycle traffic violations using YOLOv8 and IoT-based analytics.

Scientific reports
Motorcycle-related traffic violations, including helmetless riding and multiple riders, present significant challenges for urban traffic management, especially under conditions of occlusion and high traffic density. This research introduces a hybrid,... read more 

An ML-driven framework for continuous wearable health surveillance and energy-efficient communication.

Scientific reports
Existing wireless body area network (WBAN) communication schemes often depend on fixed event assumptions, which results in redundant transmissions, poor energy utilization, and limited scalability in continuous health monitoring systems. To overcome ... read more 

Propensity score-matched multicentric observational cohort study comparing robotic cholecystectomy with laparoscopic cholecystectomy.

Surgical endoscopy
BACKGROUND: With increasing penetration of robotic surgery, robotic cholecystectomies are becoming more popular. There are several benefits which may be possible with the use of robotic platforms for cholecystectomy. These are reduced pain, lesser bl... read more 

Application of deep learning for surgical decision support during single-incision laparoscopic cholecystectomy.

Surgical endoscopy
OBJECTIVE: This study aimed to develop an Artificial intelligence (AI) model based on Mask2Former to identify safe and hazard zones during Single-incision laparoscopic cholecystectomy (SILC). METHODS: 186 videos of SILC were included in the study, am... read more 

Surgeons' perceptions of artificial intelligence (AI) for gaze guidance in laparoscopic cholecystectomy.

Surgical endoscopy
BACKGROUND: Artificial intelligence (AI) tools offer new opportunities to support human perception and provide gaze guidance in surgery. However, there remains a need to better understand surgeons' perceptions of these tools and to identify desired f... read more 

Residual-aware lightweight deep learning framework for high-fidelity intrusion detection in UAV swarm networks.

Scientific reports
Unmanned Aerial Vehicle swarm networks are increasingly deployed in critical missions such as surveillance, disaster management, and military coordination, where secure communication is paramount. However, their decentralized topology and dynamic mob... read more