Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 57,301 to 57,310 of 227,153 articles

Machine Learning Techniques Used for the Identification of Sociodemographic Factors Associated With Cancer: Systematic Literature Review.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: Cancer remains one of the foremost global causes of mortality, with nearly 10 million deaths recorded by 2020. As incidence rates rise, there is a growing interest in leveraging machine learning (ML) to enhance prediction, diagnosis, and ... read more 

Ethical Knowledge, Challenges, and Institutional Strategies Among Medical AI Developers and Researchers: Focus Group Study.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-making and preventive care, it is urgent to address ethical concerns such as bias, privacy, and transparency to protect clinician and patient populations. ... read more 

The Development and Use of AI Chatbots for Health Behavior Change: Scoping Review.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: Artificial intelligence (AI) chatbots are technologies that facilitate human-computer interaction through communication in a natural language format. By increasing cost-effectiveness, interaction, autonomy, personalization, and support, m... read more 

Predicting the Intention to Use Generative Artificial Intelligence for Health Information: Comparative Survey Study.

Journal of medical Internet research Jan 28, 2026
BACKGROUND: The rise of generative artificial intelligence (AI) tools such as ChatGPT is rapidly transforming how people access information online. In the health context, generative AI is seen as a potentially disruptive information source due to its... read more 

Self-Supervised Deep-Learning Denoising for X-ray Fluorescence Microscopy with Multi-Element Detectors.

Analytical chemistry Jan 28, 2026
Scanning emission-based microscopies, such as X-ray fluorescence (XRF) and energy-dispersive X-ray spectroscopy, offer nanometer-scale chemical maps, but suffer from long acquisition times and radiation damage. Lower-flux and shorter dwell time scans... read more 

CLinNET: An Interpretable and Uncertainty-Aware Deep Learning Framework for Multi-Modal Clinical Genomics.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Jan 28, 2026
Identifying molecular drivers and diagnostic genes for neurocognitive disorders (NDs) remains a major challenge due to the prevalence of variants of uncertain significance (VUS) and limitations in current diagnostic platforms. While artificial intell... read more 

A machine learning-based transcriptomic signature for predicting tumor recurrence after curative resection in T1 colorectal cancer: a retrospective multicenter cohort study (The Tw1CE trial).

International journal of surgery (London, England) Jan 28, 2026
BACKGROUND: T1 colorectal cancer (T1 CRC) is increasingly treated with curative-intent endoscopic resection, but tumor recurrence remains a critical factor influencing patient prognosis. However there is no validated biomarker exists to reliably pred... read more 

Quality, Reliability, and Dissemination of In Vitro Fertilization-Related Videos on Chinese Social Media: Cross-Sectional Analysis of 300 Short Videos.

JMIR infodemiology Jan 28, 2026
BACKGROUND: Patients increasingly rely on short-video platforms for information regarding in vitro fertilization (IVF), yet the relationship between the scientific quality of this content and its algorithmic dissemination remains unclear. OBJECTIVE: ... read more 

Energy efficiency and neural control of continuous versus intermittent swimming in a fishlike robot.

Science robotics Jan 28, 2026
Many aquatic animals, including larval zebrafish, exhibit intermittent locomotion, moving via discrete swimming bouts followed by passive glides rather than continuous movement. However, fundamental questions remain unresolved: What neural mechanisms... read more 

Visual-tactile pretraining and online multitask learning for humanlike manipulation dexterity.

Science robotics Jan 28, 2026
Achieving humanlike dexterity with anthropomorphic multifingered robotic hands requires precise finger coordination. However, dexterous manipulation remains highly challenging because of high-dimensional action-observation spaces, complex hand-object... read more 
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