Artificial Intelligence Medical Compendium

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

Showing 65,391 to 65,400 of 231,904 articles

Finding the Pareto front for high-entropy-alloy catalysts.

Chemical science
Finding catalysts that have both high activity and high stability presents a long-standing challenge. Since optimizing activity and stability are conflicting objectives, the best one can do is find the Pareto front that yields optimal tradeoffs betwe... read more 

Challenges in data-driven catalysis modelling: case study on palladium-NHC catalyzed Suzuki-Miyaura reactions.

Chemical science
In this study, we synthesized a set of 21 N-heterocyclic carbene (NHC)Pd complexes and evaluated them in a benchmark reaction for Suzuki-Miyaura coupling under 12 different conditions, resulting in a high-quality dataset tailored for machine learning... read more 

Predicting Cerebral Aneurysm Recurrence after Coil Embolization: A Novel Deep Learning Approach Using Time-of-flight Magnetic Resonance Angiography.

Neurologia medico-chirurgica
The recurrence of cerebral aneurysms after coil embolization remains a significant concern in clinical practice. This study introduced a novel approach that combines machine learning with deep learning techniques using time-of-flight magnetic resonan... read more 

A study on user satisfaction with medical devices for the elderly: The case of blood pressure monitors.

Social science & medicine (1982)
Against the backdrop of global population ageing, cognitive decline not only limits the quality of life for older adults but also presents a critical challenge to their independent and safe use of health monitoring tools. In this context, this study ... read more 

Public health surveillance and outbreak preparedness for mpox.

Current opinion in HIV and AIDS
PURPOSE OF REVIEW: The 2022 global mpox outbreak showed that surveillance systems were not ready to quickly detect or adapt to the new dynamic of human-to-human spread. While many lessons were learned, ongoing mpox outbreaks underscore the need for f... read more 

Guidance for Scholarly Writing: Assuring Ethical Publishing Standards for Nursing Professionals and Doctoral Students.

Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
Nursing professionals and doctoral nursing students engage in scholarly work throughout the academic experience and their careers. However, they often find the writing and publishing processes challenging. Studies have shown that 41.3% of Doctor of P... read more 

Detecting the Undetectable: Analytical Strategies for Novel Psychoactive Substances.

Therapeutic drug monitoring
BACKGROUND: The constant emergence of novel psychoactive substances (NPS) poses significant analytical challenges due to their structural diversity, low concentrations in complex biological matrices, and the limited availability of certified referenc... read more 

Enhancer Dynamics for Gene Regulation in the Cardiovascular System.

Arteriosclerosis, thrombosis, and vascular biology
Enhancers are regulatory DNA sequences that increase the transcription of a target gene when bound by transcription factors. Decades of research endeavors have shed light on the crucial roles of enhancers in cardiovascular development and disease. Be... read more 

3D imaging-based AI models outperform demographic models and excel in tibial sizing compared with 2D models in total knee arthroplasty planning: A systematic review.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
PURPOSE: Accurate preoperative implant sizing is a critical component of successful total knee arthroplasty (TKA). Artificial intelligence (AI) has emerged as a promising tool for enhancing preoperative planning. This is achieved through predictive m... read more 

Wavelet-Based Frequency Replacement and Edge Enhancement for Semi-Supervised Fetal Ultrasound Image Segmentation.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: Ultrasound image segmentation remains a significant challenge due to inherent low contrast and blurred anatomical boundaries. Fully supervised deep learning approaches require extensive annotated datasets, which are costly and labor-inten... read more