Artificial Intelligence Medical Compendium

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

Showing 65,741 to 65,750 of 232,257 articles

Latest research

An Artificial Intelligence-Based Computer Vision Model for Human Sperm Concentration, Motility, and Kinematics Analysis.

Smart medicine
Accurate assessment of sperm concentration and motility is critical for the diagnosis and management of male infertility. However, current methods, manual hemocytometer counting and commercial computer-aided sperm analysis (CASA) systems, are limited... read more 

Empowering caregivers of individuals with autism spectrum disorder through sensor-based monitoring of emotional dysregulation: A scoping review.

International journal of medical informatics
OBJECTIVE: This paper critically reviews existing work in sensor-based emotional dysregulation monitoring to support caregivers of individuals diagnosed with autism spectrum disorder (ASD). METHODS: A systematic literature search was conducted across... read more 

Structure-based virtual screening of ultra-large chemical spaces: Advances and pitfalls.

European journal of medicinal chemistry
On-demand chemical spaces consist of molecules that are, a priori, readily synthesizable from sets of commercial building blocks through robust organic reactions. As these spaces expand-now reaching the scale of several trillions of compounds-computa... read more 

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