AI Medical Compendium

Malpractice in the machine age: Legal and ethical responses to machine learning in medical imaging.

Radiography (London, England : 1995) Feb 6, 2026

OBJECTIVES: Artificial intelligence (AI) and machine learning (ML) are increasingly integrated into diagnostic imaging. This review examines how AI adoption affects malpractice risk, the legal standard of care, liability distribution, and informed co... read more

Spatial amyloid-informed multimodal brain age as an early marker of Alzheimer's-related vulnerability and risk stratification.

The journal of prevention of Alzheimer's disease Feb 6, 2026

BACKGROUND: Brain age gap (BAG)-the difference between predicted and chronological age-captures neurobiological aging, but MRI-only models insufficiently reflect Alzheimer's disease (AD) pathology. Whether incorporating regional amyloid-β (Aβ) positr... read more

Letter to the Editor regarding "Evaluation of color matching accuracy using artificial intelligence applications and a spectrophotometer: A photometric analysis".

The Journal of prosthetic dentistry Feb 6, 2026

Comment on "Application of deep learning reconstruction in abdominal magnetic resonance cholangiopancreatography for image quality improvement and acquisition time reduction".

Journal of the Formosan Medical Association = Taiwan yi zhi Feb 6, 2026

ALKBH5 orchestrates ferroptosis-driven tumor suppression: An LLM-powered discovery in prostate cancer.

Molecular therapy : the journal of the American Society of Gene Therapy Feb 6, 2026

The treatment of prostate cancer (PCa) continues to pose substantial clinical challenges. The use of large language models (LLMs) to identify the key molecular determinants of PCa progression, followed by experimental biological validation, helps unc... read more

The effect of an artificial intelligence- supported screen-based simulation on breast self-examination in nursing students: A sequential mixed-methods study.

Nurse education in practice Feb 6, 2026

AIM: The aim of this study is to evaluate the effectiveness of artificial intelligence-supported simulation in improving nursing students' breast self-examination (BSE) skills and to examine in-depth the experiences of students who received BSE train... read more

An interpretable machine learning framework with data-informed imaging biomarkers for diagnosis and prediction of Alzheimer's disease.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 6, 2026

Machine learning methods based on imaging and other clinical data have shown great potential for improving the early and accurate diagnosis of Alzheimer's disease (AD). However, for most deep learning models, especially those including high-dimension... read more

Classification of twinkling artifacts and blood flow for in vivo detection of breast microcalcifications.

Ultrasonics Feb 6, 2026

While mammography is the standard modality for detecting microcalcifications (MCs), their real-time detection with ultrasound imaging can be invaluable, particularly for guiding biopsies. Ultrasound twinkling artifact (TA) imaging allows the sensitiv... read more

Application of radiomics in head and neck squamous cell carcinoma.

Translational oncology Feb 6, 2026

Head and neck squamous cell carcinoma (HNSCC) is the most prevalent histopathological subtype of head and neck malignancies. Owing to the lack of early specific symptoms, the majority of patients are diagnosed at intermediate or advanced stages, whic... read more

From Ageing Clocks to Organ Networks: Biological Age-Driven Organ Asynchrony and Inter-organ Interactions Shaping Mortality Risk.

Ageing research reviews Feb 6, 2026

Ageing is a multidimensional and heterogeneous process that progresses asynchronously across organ systems. Advances in multi-omics technologies have led to the development of diverse ageing clocks, including epigenetic, proteomic, metabolomic, and i... read more

Artificial Intelligence Medical Compendium