Category: Artificial Intelligence
- Frozen shoulder rehabilitation app shows limited preliminary benefits in an 18-patient pilot ()
Published October 31, 2026. A small randomized pilot trial tested an AI-based rehabilitation application for frozen shoulder. Published October 27 in npj Digital Medicine, the study compared ANAPA ME with YouTube-based home exercises in 18 patients at one center. Both groups received a single ultrasound-guided corticosteroid injection into the shoulder joint and completed a 12-week […]
- Self-supervised models improve Cell Painting profiling in drug-discovery benchmarks ()
Published October 31, 2026. Self-supervised AI models can extract useful cellular profiles directly from microscopy images, according to a large benchmark published October 29 in Nature Methods. Researchers pretrained four model families on roughly 1.77 million Cell Painting images covering 119,876 compounds from seven laboratories. Their pipeline operates without the cell segmentation and handcrafted feature […]
- CopilotJ brings conversational AI workflows to ImageJ bioimage analysis ()
Published October 31, 2026. CopilotJ connects natural-language requests with ImageJ bioimage analysis, according to a correspondence published October 28 in Nature Methods. The system uses several cooperating AI agents to interpret tasks, retrieve relevant knowledge, generate instructions and operate imaging software. A dedicated bridge exchanges information with ImageJ and executes analysis steps. After validation on […]
- Interpretable AI supports small liver-lesion assessment on multiphase CT ()
Published October 30, 2026. Researchers describe dLI-RADS, an interpretable AI method for estimating hepatocellular carcinoma probability from multiphase CT scans. It combines neural-network predictions with quantitative measurements related to established LI-RADS imaging features. The retrospective multicenter study used training, internal evaluation and external evaluation groups of 143, 62 and 133 patients, respectively. Lesions larger than […]
- Large screening study compares AI-assisted cytology and HPV testing strategies ()
Published October 30, 2026. A Nature Communications study compares cervical screening strategies using records from 284,002 women screened in Wuhan, China. It evaluates artificial intelligence-assisted liquid-based cytology alongside high-risk HPV testing. The researchers modeled nine strategies, comparing detection of CIN2 or worse—precancerous changes or more serious disease—with referral for colposcopy. After correction for verification bias, […]
- Agentic AI helps human reviewers identify immunotherapy adverse events in clinical notes ()
Published October 30, 2026. A Nature Cancer study published October 29 evaluates an AI system that helps reviewers identify immune-related adverse events in oncology notes. It extracts event presence, timing, severity, treatment attribution and diagnostic certainty across six toxicity types. Retrospective testing produced a macro-averaged F1 score of 0.92 for current-event detection, but only 0.66 […]
- AbOptimizer uses AI to improve multiple antibody properties in laboratory tests ()
Published October 29, 2026. Researchers have introduced AbOptimizer, an artificial intelligence framework that searches for antibody variants with several desirable properties at once. The study appeared in Nature Communications on October 26. The system combines protein language models with reinforcement learning to choose editing sites and amino-acid changes. It can edit several positions together and, […]
- Impression-R1 improves radiology summary writing in reader study ()
Published October 29, 2026. Impression-R1 is a specialized reasoning model designed to write diagnostic summary sections from radiology findings. Wang and colleagues describe its development and evaluation in Nature Communications, published October 28. The model combines supervised learning, clinically conditioned reasoning and radiology-specific reward optimization. Evaluation covered 11,884 cases from six institutions and three public […]
- Clinical reasoning AI benchmark finds accuracy gains alongside more false positives ()
Published October 29, 2026. A diagnostic AI benchmark finds that stronger reasoning can improve primary diagnoses while increasing false positives. Wu and colleagues report the results today in Nature Communications. The AIMS-LDR benchmark uses long electronic health records and compares six matched pairs of reasoning-enabled and standard language models across 12 specialties. Reasoning models produced […]
- Deep learning predicts IDH1 mutations from leukemia bone marrow images ()
Published October 29, 2026. A deep-learning model predicts IDH1 mutation status from digitized bone marrow smears in acute myeloid leukemia (AML). Eckardt and colleagues report the multicenter study today in npj Precision Oncology. The researchers used whole-slide images from 436 patients across four centers in Germany and the United States. Their attention-based multiple-instance learning approach […]