Artificial Intelligence Medical Compendium

read more 

PURPOSE: The clinical significance of medullary abnormalities in the appendicular skeleton detected by computed tomography (CT) in patients with multiple myeloma (MM) remains incompletely elucidated. This study aims to validate novel low-dose CT-base... read more 

OBJECTIVES: Femoroacetabular impingement (FAI) with cam-type morphology is a common hip disorder that can result in groin pain and eventually osteoarthritis. The pre-operative assessment is based on parameters obtained from x-ray or computed tomograp... read more 

The rapid integration of artificial intelligence in healthcare, accelerated by the Trump administration's 2025 AI Action Plan and private sector innovations from companies like Nvidia and Hippocratic AI, poses urgent challenges for nursing and health... read more 

Schizophrenia is a debilitating, chronic neuropsychiatric disorder, a multifactorial disorder combining genetic, neurodevelopmental, immunological, and environmental factors. Common antipsychotic treatments may be effective against positive symptoms,... read more 

Protein-peptide interactions (PpIs) play a critical role in major cellular processes. Recently, a number of machine learning (ML)-based methods have been developed to predict PpIs, but most of them rely heavily on sequence data, limiting their abilit... read more 

The miniaturization of implantable sensors and actuators, combined with advances in interactive modelling and high-resolution imaging, is propelling the use of medical devices for counteracting impaired neural control of the cardiovascular system. In... read more 

BACKGROUND: Pulse shape index (PSI) is a novel artificial intelligence-supported parameter that evaluates the pressure-volume compensatory reserve of the craniospinal system through intracranial pressure (ICP) pulse waveform classification. This stud... read more 

OBJECTIVES: Accurate detection of breast lesion type is crucial for optimizing treatment; however, due to the limited precision of current diagnostic methods, biopsies are often required. To address this limitation, we proposed radio frequency time s... read more 

BACKGROUND: Transrectal in-bore MR-guided biopsy (MRGB) is accurate but time-consuming, limiting clinical throughput. Faster imaging could improve workflow and enable real-time instrument tracking. Existing acceleration methods often use simulated da... read more