Artificial Intelligence Medical Compendium

BACKGROUND AND OBJECTIVE: Early detection of oral cavity cancers is critical for improving patient survival rates and treatment efficacy. In this context, this study evaluates the potential of computer vision models as diagnostic tools for identifyin... read more 

To decipher subtle chemical variation of both non-volatile and volatile components during bran-roasting of nutmeg (Myristica fragrans), we innovatively established a "three-source comparison" approach (raw nutmeg, RN; bran-roasted nutmeg in lab, BN-L... read more 

This work introduces a novel deep learning-based architecture, termed the Deep Belief Markov Model (DBMM), which provides efficient, model-formulation agnostic inference in Partially Observable Markov Decision Process (POMDP) problems. The POMDP fram... read more 

Diabetic retinopathy, which is a retinal disease that results from diabetes, has become the leading cause of blindness. Early diagnose of diabetic retinopathy is crucial for preserving vision and saving lives. To date, several pioneering methods have... read more 

Cancer prognosis of complications like metastasis, recurrence, and side effects of treatments is important to enhance patient prognosis. There is great potential in the use of ML on lifetime data for improving prediction accuracy in oncology; however... read more 

PURPOSE: To evaluate whether deep learning reconstruction (DLR) can reduce the radiation dose in routine clinical computed tomography (CT) scans compared with iterative reconstruction (IR) while maintaining or improving image quality. The study asses... read more 

Digital health solutions are being increasingly used to support care delivery across various medical fields. In stroke care, technology has contributed to enhancing prehospital workflows, facilitating communication among health care professionals, an... read more 

PURPOSE: Skull base osteomyelitis (SBO) and nasopharyngeal carcinoma (NPca) are challenging to differentiate due to overlapping clinical and radiological features. This study aimed to develop and validate a multi-parametric magnetic resonance imaging... read more 

In this commentary, I express my concern that the special issue focuses too much on the added value of AI for psychology, while psychological research also has much to offer, such as the operationalization of variables based on theory, validation too... read more 

In this scoping review, we examined the role of artificial intelligence (AI) in enhancing interprofessional education and collaborative practice (IPECP) within healthcare settings. Drawing on the Canadian Interprofessional Health Collaborative "Compe... read more