A major new systematic review finds that explainability has become the weakest link in the generative AI ecosystem, with ...

Background: Although the integration of self-monitored patient data into mental health care offers potential for advancing personalised approaches, its application in clinical practice remains largely ...

Introduction Effective community-based disease management is essential for public health. In low- and middle-income countries, sustainable strategies for timely diagnosis and treatment are a research ...

Objectives Homelessness is a global public health concern which extends to the health and well-being of people working in homelessness, and this mixed-methods systematic review aims to explore their ...

In _kernel.py, within the KernelExplainer.explain() method, there appears to be an inconsistency in the paired sampling logic when the dataset has an even number of features. This issue arises only ...

1 Department of Gynecologic Oncology, Beijing Obstetrics and Gynecology Hospital, Beijing Maternal and Child Health Care Hospital, Capital Medical University, Beijing, China 2 Laboratory for Clinical ...

When it comes to removing body hair, there’s a wide range of tools at your disposal, both for in-person treatments and at-home use. From shaving and the best at-home epilators to waxing kits, eyebrow ...

Introduction: HPV self-sampling is a relatively new, cost-effective and widely accepted method, however, uptake in LMICs remains limited. We aimed to map out the evidence and identify gaps in accuracy ...

Monte Carlo Simulations take the spotlight when we discuss the photorealistic rendering of natural images. Photorealistic rendering, or, in layman’s words, creating indistinguishable “clones” of ...

Neuro-symbolic artificial intelligence (NeSy AI) is a rapidly evolving field that seeks to combine the perceptive abilities of neural networks with the logical reasoning strengths of symbolic systems.