Artificial Intelligence Medical Compendium

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

Showing 30,951 to 30,960 of 220,293 articles

D-Flow: Multi-modality Flow Matching for D-peptide Design.

IEEE journal of biomedical and health informatics Apr 15, 2026
Proteins are crucial to biological processes, and therapeutic peptides are emerging as promising pharmaceutical agents. Among these, D-peptides are resistant to proteolysis, exhibit greater in vivo stability, and are easier to synthesize. Despite adv... read more 

Federated learning's uncomfortable truth: why human networks matter more than neural networks.

Journal of the American Medical Informatics Association : JAMIA Apr 15, 2026
OBJECTIVES: To examine real-world barriers to implementing federated learning in healthcare and highlight the organizational, regulatory, and socio-technical factors often overlooked in technical research. MATERIALS AND METHODS: Insights were derived... read more 

Augmenting Large Language Model With Prompt Engineering and Supervised Fine-Tuning in Non-Small Cell Lung Cancer Tumor-Node-Metastasis Staging: Framework Development and Validation.

JMIR AI Apr 15, 2026
BACKGROUND: Accurate tumor node metastasis (TNM) staging is fundamental for treatment planning and prognosis in non-small cell lung cancer (NSCLC). However, its complexity poses significant challenges. Traditional rule-based natural language processi... read more 

All-optical uncertainty visualization for ill-posed image restoration tasks.

Optics letters Apr 15, 2026
Diffractive neural networks are a promising framework for all-optical processing of visual data, with the potential to drastically reduce the computational burden and energy consumption that is currently associated with running neural networks on dig... read more 

Efficient prediction for arbitrary trajectories of butterfly vortex beams using a deep neural network.

Optics letters Apr 15, 2026
Longitudinal particle manipulation by beams relies on the guidance of particle motion through propagation trajectory design. However, a single trajectory cannot satisfy the requirements for longitudinal particle manipulation in different directions, ... read more 

Relative wavefront error correction over a 2.4-km free-space optical link via machine learning.

Optics letters Apr 15, 2026
In coherent optical communication across turbulent atmospheric channels, reference beacons can be multiplexed with information-encoded signals during transmission. In this case, it is commonly assumed that the wavefront distortion of the two is equiv... read more 

Breaking the Q-limit: wide-range and high-precision metasensing empowered by deep learning.

Optics letters Apr 15, 2026
Refractive index sensing traditionally relies on high-Q resonances in precisely fabricated metastructures, making performance vulnerable to fabrication imperfections, limited spectral resolution, and environmental instability. Here, we introduce a fu... read more 

Precision limits in precision-aligned direct-drive and direct-detection architectures for photonic computing.

Optics letters Apr 15, 2026
On-chip photonic computing shows promise for tasks such as neural networks due to its parallelism and low latency. However, the impact of the nonlinear transfer curve of photonic modulators on the accuracy of photonic computing is underexplored. Curr... read more 

Programmable optical activation functions for KANs via feed-forward integrated microring resonators.

Optics letters Apr 15, 2026
Activation functions are indispensable in optical neural networks (ONNs). However, existing solutions often require high optical power for nonlinearity or suffer from limited tunability that restricts deployable architectures. Achieving diverse and t... read more 

Optical multi-task learning using a multifunctional diffractive processor with "learned" structured illumination.

Optics letters Apr 15, 2026
Diffractive deep neural network (D2NN), as a novel optical machine learning framework, has attracted much attention due to its superior advantages in inference speed and power consumption. Here, we demonstrate a new, to the best of our knowledge, fra... read more 
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