AI Medical Compendium

DynaBench: Dynamic data for the docking benchmark.

Journal of molecular biology Jan 20, 2026

Protein-protein interactions are central to numerous cellular processes, including transport, signaling, and immune response. Structural modeling of protein assemblies typically relies on AlphaFold or docking methods, which produce structural models ... read more

LungSurg: A Generative AI System for Segmentation and Phase Classification in Thoracoscopic Lobectomy.

MedComm Jan 20, 2026

The integration of artificial intelligence (AI) into surgical practices is advancing towards greater intelligence and precision. This study assesses the potential of AI in video-assisted thoracoscopic surgery (VATS) lobectomy for lung cancer by devel... read more

Decoding lower-limb movement attempts from electro-encephalographic signals in spinal cord injury patients.

APL bioengineering Jan 20, 2026

Restoring lower-limb function in patients with severe spinal cord injury (SCI) remains challenging. Spinal cord stimulation may enhance and reinstate lower-limb movements, but it is either used in open-loop control or its control depends upon residua... read more

Identification of sensorineural hearing loss subtypes using unsupervised machine learning and assessment of their replicability.

Scientific reports Jan 20, 2026

Validation of histopathology-based deep learning algorithms for detection of actionable non-small cell lung cancer biomarkers.

NPJ precision oncology Jan 20, 2026

Non-small cell lung cancer (NSCLC) patient management relies on molecular analysis to determine eligibility for targeted therapy. Furthermore, neoadjuvant immunotherapy is primarily suitable in the absence of specific genomic alterations. However, si... read more

Mapping the integration of artificial intelligence in knee replacement surgery: a data-driven bibliometric analysis with emphasis on robotic innovation.

Journal of robotic surgery Jan 20, 2026

Structured reporting in knee MRI.

Skeletal radiology Jan 20, 2026

Structured reporting in knee MRI represents a transformative advancement in musculoskeletal radiology, promising enhanced clarity and consistency in evaluating the knee's complex anatomy-menisci, ligaments, cartilage, and bone. This review article ex... read more

A clinical-radiomics nomogram based on multisequence MRI for predicting intraoperative vertebral artery injury in patients with primary cervical spine tumor: a diagnostic study.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Jan 20, 2026

BACKGROUND: Currently, reliable preoperative methods for predicting vertebral artery (VA) invasion are lacking. The authors develop a novel model based on MRI radiomic signatures combined with clinical and imaging features for predicting intraoperati... read more

Deep Learning Models: A Lens Worth Sharpening for Cancer Prognostication.

Annals of surgical oncology Jan 20, 2026

Explainable End-to-End Seizure Prediction via Dynamic Multiscale Cross-Band Fusion Filter Network.

International journal of neural systems Jan 20, 2026

Epileptic seizure prediction based on electroencephalogram (EEG) signals is one of the critical applications of medical artificial intelligence (AI), with considerable clinical potential for improving the quality of life of patients through early war... read more

Artificial Intelligence Medical Compendium