AI Medical Compendium

Multi-attribute methods in antibody-drug conjugate characterization and quality control: Opportunities, challenges, and regulatory outlook.

Journal of chromatography. A Jan 14, 2026

Antibody-drug conjugates (ADCs) are complex biotherapeutics that combine the selectivity of monoclonal antibodies with the potency of cytotoxic payloads. Their structural heterogeneity, arising from variable conjugation sites, drug-to-antibody ratios... read more

Association between cognitive status and structural brain changes in Alzheimer's disease: Clinical implication of lightweight deep learning-aided diagnosis.

European journal of radiology Jan 14, 2026

BACKGROUND: The complex brain changes involved in Alzheimer's disease (AD) development constitute a high-dimensional nonlinear feature space where deep learning (DL) classification/diagnosis may be advantageous over classical non-learning methods. Ho... read more

Harnessing artificial intelligence for the assessment of liver fibrosis and steatosis via multiparametric ultrasound.

World journal of gastroenterology Jan 14, 2026

Artificial intelligence (AI) is revolutionizing medical imaging, particularly in chronic liver diseases assessment. AI technologies, including machine learning and deep learning, are increasingly integrated with multiparametric ultrasound (US) techni... read more

Artificial intelligence in metabolic dysfunction-associated steatotic liver disease: Transforming diagnosis and therapeutic approaches.

World journal of gastroenterology Jan 14, 2026

Metabolic dysfunction-associated steatotic liver disease (MASLD) is an increasingly prevalent condition associated with hepatic complications and cardiovascular and renal events. Given its significant clinical impact, the development of new strategie... read more

Chronic pain and the limits of artificial intelligence: why expert knowledge matters.

Pain Jan 14, 2026

Application of Artificial Intelligence in the Diagnosis and Treatment of Moyamoya Disease: Current Status, Challenges, and Future Prospects.

The neurologist Jan 14, 2026

BACKGROUND: Various artificial intelligence-based medical technologies have been used for diagnosing and treating diseases. Although moyamoya disease (MMD) poses a significant threat to the lives of patients, artificial intelligence (AI) use in MMD i... read more

Machine Learning-Based Clusters of Vital Signs and Lactate Levels Predict Vasopressor Use in Sepsis.

Clinical and experimental emergency medicine Jan 14, 2026

OBJECTIVE: Sepsis remains a major clinical challenge because of its complex, heterogeneous, and multidimensional clustering patterns. This study aimed to investigate the association between vasopressor administration and machine learning-derived clus... read more

Initial diagnosis and management of acute ischemic stroke: recent update and future direction.

Clinical and experimental emergency medicine Jan 14, 2026

Acute ischemic stroke (AIS) outcomes depend critically on rapid, accurate early diagnosis in the emergency department. Traditional prehospital tools and large vessel occlusion focused scales aid triage, but have limited ability to distinguish ischemi... read more

When artificial intelligence guides and misguides clinicians: A critical appraisal of AI recommendation correctness and diagnostic decision-making.

International journal of medical informatics Jan 14, 2026

A novel movie scene detection method based on clue relationship and constrained shot description.

Neural networks : the official journal of the International Neural Network Society Jan 14, 2026

Movie scene detection is challenging because it requires accurately measuring the relationship among shots to find scene boundaries. Most existing methods measure it based on similarity, which may result in the inability to distinguish between simila... read more

Artificial Intelligence Medical Compendium