PubMed + Crossref
60 entries
Newest 26 Sep 2026
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New research on AI in healthcare
Tracked from PubMed and Crossref across the journals that publish clinical AI. Every entry carries its citation and a link to the source.
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AIMOCS lists bibliographic details and links out to the publisher, and adds its own note under papers it has read closely. Abstracts and full text stay with the journals that hold their copyright.
Quantifying the plausibility gap in generative AI for surgical video generation with expert assessment
Large language model–assisted preoperative communication reduces patient anxiety and physician workload in prostate cancer: a prospective randomized phase II trial
PediatricLiver score: a novel risk score for screening elevated liver stiffness in the pediatric population (CHESS2401)
The application, development and challenge of digital twin in drug evaluation
Development and validation of a parsimonious AI-based mortality risk score for heart failure
Improving early risk stratification for bronchopulmonary Dysplasia in preterm infants using machine learning: development and external validation
Automated multi-sequence MRI quantitative assessment and 3D visualization of acute cervical spinal cord injury
Artificial intelligence-mediated clinical communication between providers and patients or caregivers: scoping review and conceptual framework
Transporting a pediatric surgical site infection prediction model to the electronic health record: external validation, harmonization, and recalibration
Large language models as judges for clinical generative AI evaluation
LEME: open large language models for ophthalmology with advanced reasoning and clinical validation
Artificial intelligence-based diagnostic decision support for primary care of older adults using collective intelligence and imitation learning
A multicenter assessment of human oversight of generative AI outputs in simulated clinical decision making
Causal reinforcement learning for personalized adaptive interventions in mild cognitive impairment
Multi-criterion uncertainty estimation improves skin cancer distribution shift detection and malignancy prediction
Computable phenotypes for multimorbidity measurement: development and implementation of a new electronic health record-based multimorbidity-weighted index for harmonized Observational Medical Outcomes Partnership data
Enabling equitable global health AI with privacy‑enhancing technologies
Closing the Automation Gap in HPV-Based Cervical Cancer Screening: Independent External Validation of an AI Model for Dual-Stain Triage
Win, Place, or Show? Why Specialist AI May Still Win the Deployment Race in Radiology
A real-time machine learning framework for improved intraoperative risk predictions in cardiac surgery patients
Design and implementation of an EMR-embedded integrated cardio-cerebrovascular registry platform
Rule-aware reasoning visual language model for molecular prediction in adult-type diffuse glioma lacking contrast enhancement
Virtual reality-based therapy for substance use disorder: a systematic review and Bayesian meta-analysis
A spatially aware deep learning framework for multiscale cellular ecology profiling to predict 5-year recurrence in invasive lung adenocarcinoma
A co-learning framework for maternal and pediatric pharmacotherapy knowledge gap discovery
Comparative evaluation of ambient digital scribe systems in clinical documentation
Diabetes self-management in the digital health era: a concept analysis using natural language processing
Preparing AI chatbots to respond to patient distress and suicidality in high-risk healthcare settings
Trastuzumab plus nivolumab with gemcitabine and cisplatin as first-line therapy for HER2-positive unresectable biliary tract cancer: a phase 1b/2 trial
Prospective multicenter evaluation of an autonomous robotic ultrasound system integrated with AI-assisted thyroid nodule assessment
BrainCSD: a hierarchical consistency-driven MoE framework for connectome synthesis and multitask brain trait prediction
DoseTailor for personalised tacrolimus dose optimisation across multicentre populations using interpretable AI
Patient journey evaluation for consumer AI health assistants
Large-scale esophageal cancer screening through noncontrast computed tomography and artificial intelligence
AI adoption and workflow optimization following orchestration platform implementation and structured change management
Leveraging dynamic prompting for outcome prediction of cancer patients using large language models and electronic health record notes
Global evolution of AI-related infectious disease research: a bibliometric and LLM-assisted analysis
Author Correction: Integrating artificial intelligence tools in health research
Physician involvement and research quality in chest X-ray foundation models
Where Are the Prepared Minds? The Impact of AI on Scientific Thinking
Why responsible AI needs regional networks in low-resource health systems
Serum BDNF and cognitive risk in maintenance hemodialysis: a machine learning study
Toward reviewable medical evidence synthesis for care delivery
External validation of AI assisted colposcopy using WHO dataset for cervical precancer and cancer detection
Patient-facing generative artificial intelligence: interpretive influence and system-level evaluation
Misaligned by design: evaluating and deploying generative AI for the real-world conditions of primary care: a Nordic and European perspective
DARE to wear: digital health promotion and disease prevention using wearable devices
Outcome-grounded effect of clinically stigmatizing information on large language model emergency triage prioritization
Optimising a digitally delivered behavioural weight loss programme: a factorial cluster randomised controlled trial
Staged purpose-blinded evaluation of provenance risk from a general-purpose generator in breast ultrasound
Video-based assessment of surgical skills using frozen pretrained video foundation models
Communicating the uncertainty of individual risk from clinical prediction tools with the PGower similarity measure
From Technical Performance to Clinical Readiness: A Phase-Based Framework for Evidence Standards in Clinical Artificial Intelligence
Institutional data commons: a federated Data Use Certification-aware architecture for secure and scalable data use in biomedical data ecosystems
Sustainable artificial intelligence in global health: balancing promise, equity, and environmental realities in low- and middle-income countries
A certifiable evidence-chain digital platform supporting decentralized clinical trials: architecture and real-world evaluation
Conditional deep generative modeling of blood-based infrared spectra enables controlled in-silico phenotyping studies
Probabilistic multimodal learning for drug–target interaction prediction
DiagnosticXchange: an open-source framework for evaluating safety, efficiency, and diagnostic reasoning in clinical AI systems
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