Artificial Intelligence Medical Compendium

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

Showing 29,881 to 29,890 of 219,931 articles

Moisture-driven, self-powered noncontact sensing interfaces via turbulence-tailored hygroelectronic effect.

Science advances Apr 17, 2026
Noncontact human-machine interfaces (HMIs) provide a hygienic and intelligent approach for the communication between human and robots. However, they are limited by the interaction distance and bulky power supply. Here, we introduce a self-powered, no... read more 

PATCH: A deep learning method to assess heterogeneity of artistic practice in historical paintings.

Science advances Apr 17, 2026
In the Renaissance and Early Modern period, paintings were largely produced by master painters who directed workshops of apprentices and others who often contributed to the piece. Discerning who created these masterworks and how they did so is a cent... read more 

Quantum-informed machine learning for predicting spatiotemporal chaos with practical quantum advantage.

Science advances Apr 17, 2026
We introduce a quantum-informed machine learning (QIML) framework for modeling the long-term behavior of high-dimensional chaotic systems. QIML combines a one-time, offline-trained quantum generative model with a classical autoregressive predictor fo... read more 

A TIEGCM-based inversion model for ionosphere-thermosphere parameters driven by three-dimensional electron density.

Science advances Apr 17, 2026
A challenge in Earth and space sciences is the capability to continuously monitor the key parameters of space systems that frequently experience complex, multiscale dynamics. The ionosphere-thermosphere (I-T) system is a region where the direct measu... read more 

Fingerprinting organic molecules for the inverse design of two-dimensional hybrid perovskites with target energetics.

Science advances Apr 17, 2026
Artificial intelligence (AI)-assisted workflows have transformed materials discovery, enabling rapid exploration of chemical spaces of functional materials. Endowed with extraordinary optoelectronic properties, two-dimensional (2D) hybrid perovskites... read more 

TPP-Fabricated All-Fiber Nanoforce Sensor with Deep Learning Analysis Enables Ultrasensitive Cancer Cell Mechanophenotyping.

Analytical chemistry Apr 17, 2026
Cellular mechanics provide sensitive, quantitative markers of cancer progression, yet routine nanoforce measurements remain constrained by the cost, footprint, and electromagnetic limitations of conventional platforms. Here we report an all-fiber nan... read more 

Leveraging long-read assemblies and machine learning to enhance short-read transposable element detection and genotyping.

Genetics Apr 17, 2026
Transposable elements (TEs) are parasitic genomic elements that are ubiquitous across the tree of life and play a crucial role in genome evolution. Advances in long-read sequencing have allowed highly accurate TE detection, though at a higher cost th... read more 

Identifying Weekly Physical and Physiological Profiles in Professional Basketball Using Heart Rate Variability and Training Load Clustering.

Research quarterly for exercise and sport Apr 17, 2026
This study applied an unsupervised machine-learning technique to characterize weekly physiological-load states in professional basketball players using autonomic (HRV), cardiovascular (SHRZ), and mechanical (Movement Load) parameters. Eleven male pro... read more 

Association between diagnostic history and cancer incidence within 5 years: a real-world observational analysis.

Cancer research communications Apr 17, 2026
Cancer is associated with many pre-existing health conditions (PHCs), but accurately quantifying these links remains challenging. Although some studies have examined these associations, large-scale analyses using diverse electronic health record (EHR... read more 

Integrating Sperm Microscopy, Environmental Exposures, and Lifestyle Factors for Male Fertility Analysis: Protocol for the Nippon Semen and Environmental Exposure Database (N-SEED) Cross-Sectional Study.

JMIR research protocols Apr 17, 2026
BACKGROUND: Conventional semen analysis does not fully capture male reproductive potential. The sperm DNA fragmentation index (DFI) may detect latent infertility, although the sperm chromatin structure assay (SCSA) is costly and technically demanding... read more 
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