Artificial Intelligence Medical Compendium

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

Showing 23,561 to 23,570 of 217,176 articles

Ghost imaging in dynamic underwater environments by dual-measurement intensity correction.

Optics letters May 1, 2026
A major obstacle to underwater imaging is water-column scattering, especially under dynamic or turbulent conditions. Within the framework of computational ghost imaging, the inherent averaging effect partly counteracts this scattering, and according ... read more 

Real-time Fabry-Pérot cavity length demodulation via deep learning-based compressed sensing.

Optics letters May 1, 2026
Fiber-optic Fabry-Pérot sensors have already been applied to many applications that require fast dynamic measurement due to their superior advantages of electromagnetic interference immunity, high resolution, fast response time, etc. In order to main... read more 

Physics-driven self-supervised learning for non-modulated pyramid wavefront sensing.

Optics letters May 1, 2026
Non-modulated pyramid wave-front sensors (PWFS) deliver high sensitivity for extreme adaptive optics (ExAO) yet suffer from severe nonlinearity. While deep learning can alleviate these issues, conventional models rely heavily on large-scale labeled d... read more 

Megahertz-rate down-sampled optical coherence tomography based on high-speed k-linear swept laser and deep learning.

Optics letters May 1, 2026
Megahertz-rate optical coherence tomography (MHz-OCT) is an optical imaging technology that has attracted considerable attention in clinical practice. Its advantages, such as ultra-high speed, noninvasiveness, and high resolution, endow it with broad... read more 

The Role of Explanations in AI-Generated Alerts: Qualitative Study of Clinical Views on Explainable AI in Predictive Tools.

JMIR human factors May 1, 2026
BACKGROUND: Artificial intelligence (AI)-driven clinical decision support (CDS) tools offer promising solutions for health care delivery by optimizing resource allocation, detecting deterioration, and enabling early interventions. However, adoption r... read more 

CARS-AMP: A Simple and Efficient Deep Learning Model for Antimicrobial Peptide Prediction.

Journal of chemical information and modeling May 1, 2026
With the increase in global antibiotic resistance, there is an urgent demand for antibiotic substitutes, for which antimicrobial peptides (AMPs) have attracted a lot of attention due to their unique mechanism of action that makes it difficult for bac... read more 

Performance of AI Tools in Citing Retracted Literature : Content Analysis.

Journal of medical Internet research May 1, 2026
BACKGROUND: Generative artificial intelligence (GenAI) tools are increasingly used in scientific research to support literature searches, evidence synthesis, and manuscript preparation. While these systems promise substantial efficiency gains, concer... read more 

A Bilingual AI-Based Chatbot for Nutrition Education in a Food Is Medicine Intervention for High-Risk Pregnant Women: Design and Development Study.

JMIR formative research May 1, 2026
BACKGROUND: Conversational agents (artificial intelligence [AI]-based chatbots) offer a novel approach to health interventions by providing personalized, adaptive interactions that improve over time based on user engagement. In nutrition education, g... read more 

Developing and Integrating Virtual Reality Courses in Medical Education: Tutorial and Implementation Guideline Informed by Best Practices From the National Project "medical tr.AI.ning".

JMIR medical education May 1, 2026
The increasing adoption of virtual reality (VR) in medical education offers substantial opportunities for immersive, practice-oriented training that complements traditional teaching methods. In particular, VR enables repeated, risk-free exposure to c... read more 

Applicable Scenarios, Desired Features, and Risks of AI Psychotherapists in Depression Treatment From the Patient's Perspective: Exploratory Qualitative Study.

JMIR formative research May 1, 2026
BACKGROUND: Depression is a pervasive global mental health issue, yet access to trained professionals remains severely limited. With the rapid advancement of artificial intelligence (AI), digital tools are increasingly seen as a viable way to address... read more 
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