AI Medical Compendium

Commentary on: Artificial intelligence in thoracic surgery: Perspectives and challenges.

Surgery in practice and science Mar 8, 2026

Proof-of-concept: Differentiating upper trapezius muscle with myofascial trigger point using deep learning model on a small prospective sEMG dataset.

Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology Mar 8, 2026

Myofascial pain syndrome commonly arises from myofascial trigger points (MTrPs). While needle electromyography (iEMG) reveals spontaneous activity at trigger points, surface EMG (sEMG) has not been consistently validated. This study provides a proof-... read more

Magnetic resonance imaging study of major depressive disorder: a 28-year scientometric and visual analysis.

Psychiatry research. Neuroimaging Mar 8, 2026

Neuroimaging, particularly magnetic resonance imaging (MRI), has become a cornerstone in elucidating the neural underpinnings of Major Depressive Disorder (MDD). As the volume of related literature grows rapidly, a systematic, quantitative overview o... read more

IMMT downregulation promotes osteoarthritis development by inducing mitochondrial dysfunction.

Journal of orthopaedic surgery and research Mar 8, 2026

OBJECTIVE: This study aimed to identify key mitochondria-related genes involved in the pathogenesis of osteoarthritis (OA). METHODS: Publicly available OA-related gene expression datasets were analyzed. Differential expression analysis, immune infilt... read more

Leveraging machine learning for accurate forecasting of pulmonary tuberculosis epidemics in a coastal city in China.

Tropical medicine and health Mar 8, 2026

BACKGROUND: While pulmonary tuberculosis (PTB) remains a leading notifiable cause of death in China, city-level monthly forecasts with sufficient resolution to guide vaccine, drug and bed logistics are scarce, and no head-to-head comparison of classi... read more

A cautionary tale for AI and machine learning in psychiatry.

Translational psychiatry Mar 8, 2026

Artificial intelligence (AI) and machine learning (ML) have seen remarkable growth in mental health applications over the past few decades, demonstrating significant potential to transform psychiatric care. Despite these advancements, the translation... read more

Interpretable and granular video-based quantification of motor characteristics from the finger-tapping test in Parkinson's disease.

NPJ Parkinson's disease Mar 8, 2026

Accurately quantifying motor characteristics in Parkinson's disease is crucial for monitoring disease progression and optimizing treatment strategies. The finger-tapping test is a standard motor assessment. Clinicians visually evaluate a patient's ta... read more

Promoting clinical trials in pediatric IgA nephropathy through extrapolation: an artificial intelligence-enhanced literature review of the disease in pediatrics sponsored by the Kidney Health Initiative.

Pediatric nephrology (Berlin, Germany) Mar 8, 2026

BACKGROUND: There is an urgent need to evaluate the efficacy of novel therapeutics that have been approved for use in adults with IgA nephropathy (IgAN) in pediatric patients with this primary glomerular disease. METHODS: To explore the feasibility o... read more

Performance of breast cancer risk prediction algorithms across mammography systems in the UK screening programme.

NPJ digital medicine Mar 8, 2026

Thirty percent of interval breast cancers, diagnosed between routine screening mammograms, have a poorer prognosis than screen-detected cancers. Deep learning algorithms can estimate short-term risk from negative mammograms to guide supplemental imag... read more

Recent advances and current landscape of software tools for image analysis and dosimetry in nuclear medicine.

EJNMMI physics Mar 8, 2026

Recent advancements in nuclear medicine, particularly in personalised radiopharmaceutical therapy, have emphasised the growing need for precise assessments of therapeutic safety and efficacy. These evaluations depend heavily on individual patient pha... read more

Artificial Intelligence Medical Compendium