Artificial Intelligence Medical Compendium

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

Showing 4,431 to 4,440 of 174,001 articles

Computational optimization of 3D printed bone scaffolds using orthogonal array-driven FEA and neural network modeling.

Scientific reports
Today, orthopedic surgeons have been continuously focusing on bone tissue engineering for regenerating damaged bone through the use of biomimetic scaffolds and innovative materials. Hence, this study presents a comprehensive investigation into the op... read more 

A smart secure virtual reality immersive application for alzheimer's and dementia patients.

Scientific reports
Alzheimer's disease (AD) poses significant challenges for the elderly, leading to cognitive decline, social isolation, and lower quality of life. Current interventions often require cumbersome wearable devices e.g. the camera-based monitoring that ma... read more 

[Exploration of the application of artificial intelligence assisted bleeding point recognition in laparoscopic pancreatic surgery].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To explore the clinical application value of artificial intelligence models in identifying bleeding events and hemorrhagic points during laparoscopic pancreatic surgery. This single-center retrospective cohort study collected surgical videos of 25 ... read more 

Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland.

Scientific reports
Accurate estimation of the evaporation is of great significance for the management of limited agricultural water resources. However, developing highly accurate and universal data- driven models using time-series analysis methods to achieve precise ev... read more 

Sarcopenia Assessment Using Fully Automated Deep Learning Predicts Cardiac Allograft Survival in Heart Transplant Recipients.

Circulation. Heart failure
BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more 

Billing and Coding in Foot and Ankle Surgery: Can We Trust Artificial Intelligence?

Foot & ankle specialist
BackgroundBilling and coding for orthopaedic procedures is a complex process with thousands of procedure codes and associated modifiers in existence. Foot and ankle faces an additional challenge as it is among the highest variability regarding proced... read more 

SCORCH2: A Generalized Heterogeneous Consensus Model for High-Enrichment Interaction-Based Virtual Screening.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The discovery of effective therapeutics remains a complex, costly, and time-consuming endeavor, characterized by high failure rates and significant resource investments. A central bottleneck in early-stage drug discovery is identifying suitable hit c... read more 

[Minimally invasive liver surgery: current trends and future perspectives].

Zhonghua wai ke za zhi [Chinese journal of surgery]
In recent years, the continuous optimization of minimally invasive surgical instruments and equipment for liver procedures, coupled with advancements in surgeons' technical expertise and theoretical frameworks, has propelled the personalized and prec... read more 

Warning: AI chatbots will soon dominate psychotherapy.

The British journal of psychiatry : the journal of mental science
Psychotherapy chatbots have attained remarkable fluency, skill and ubiquity - having become the single most frequent reason people use artificial intelligence. Their uncanny ability to engage and validate is a two-edged sword - useful for the majorit... read more