Artificial Intelligence Medical Compendium

PURPOSE: Photon-counting computed tomography (PCCT) offers versatile anatomic information because of better energy discrimination and higher spatial resolution than conventional energy-integrating computed tomography (CT). With its rapid applications... read more 

BACKGROUND: Implementing Mohs case complexity grading systems is critical due to inherent complexities of Mohs workflow coordination. Precise scheduling can improve wait times and resource allocation. OBJECTIVE: To predict Mohs number of stages and r... read more 

Denoising Diffusion Probabilistic Models (DDPMs) have recently been employed for low-light image enhancement (LLIE), formulated as a low-light image conditioned generation process that maps Gaussian noise to a normal light image. However, their resto... read more 

PURPOSE: Intraoperative hemodynamic instability (HDI) might lead to severe complications for pheochromocytoma and paraganglioma (PPGL) patients. This study aims to construct a machine learning (ML) model to predict HDI based on intratumoral and perit... read more 

In oncology, the radiological assessment of treatment response is crucial for predicting therapeutic efficacy in terms of survival, both in clinical trials and daily practice. However, this fundamental principle is often challenged in the context of ... read more 

Recently, the severe side effects related to the widespread consumption of antidepressants (ADs) have alarmingly created a global challenge for clinics and forensic laboratories. This study introduces a machine learning-empowered multicolor fluoresce... read more 

BACKGROUND: Implementing deep learning (DL)-based computer vision models for spectroscopy enables real-time, direct spectral classification during measurement by capturing images through smartphones, bypassing data collection and pre-processing assoc... read more 

This article discusses the potential of digital health interventions (DHIs) in mental health care, emphasizing the importance of designing them to foster genuine humanistic care. It highlights current challenges in measuring engagement and outcomes, ... read more 

OBJECTIVES: The objective of this study was to evaluate the use of a single proton density (PD) new Dixon (nDixon) three-dimensional turbo spin echo (TSE) sequence for comprehensive knee joint assessment. This was achieved by comparing image quality ... read more 

OBJECTIVE: To evaluate the performance of a non-contrast rapid magnetic resonance imaging (MRI) protocol with deep learning reconstruction (DLR) for identifying complicated appendicitis in patients with acute appendicitis, compared to conventional MR... read more