This Nature Portfolio / Scientific Reports collection is open for submissions until 2026-06-23. It focuses on AI for clinical decision-making, including diagnostic, prognostic, and therapeutic decision support, EHRs, medical imaging, genomics, real-time patient data, clinical notes, multimodal learning, privacy-preserving AI, interpretability, and validation.
This Nature Portfolio / npj Health Systems collection is open for submissions until 2026-06-15. It focuses on software-powered healthcare, including clinical decision-making and AI integration, EHR and health-data infrastructures, telemedicine, remote care, multimodal agentic AI, trustworthiness, responsibility, alignment, and health-system workflows.
This Nature Portfolio / npj Gut and Liver collection is open for submissions until 2026-05-12. It welcomes work on risk assessment and early detection of gastrointestinal and liver cancers, including artificial intelligence tools for cancer risk assessment, early-stage detection, novel imaging, tissue acquisition modalities, and health economics for screening.
This Nature Portfolio / npj Genomic Medicine collection is open for submissions until 2026-06-23. It covers AI-powered genomic medicine, including variant prioritization, pathway inference, AI prediction from clinical assays such as histology, radiology and EHRs, multi-omics, precision oncology, rare diseases, population health, explainability, bias, and clinical implementation.
This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-06-03. It invites research on real-world clinical performance of AI, including clinical utility, safety, reliability, equity, generalizability, workflow integration, post-deployment monitoring, transparency, patient-centered outcomes, and clinician-AI interaction.
This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2027-03-24. It seeks clinical AI studies centered on pre-specified actions, including pragmatic trials, cluster-randomized and stepped-wedge designs, generative AI in workflow, causal analyses, target trial emulation, post-market surveillance, drift monitoring, safety, economic evaluation, and lifecycle governance.
This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-05-06. It calls for physics-informed machine learning for personalized disease prediction, prevention, and management, including digital twins, physics-informed generative AI, biomedical time-series, signals, images, interpretability, and clinical decision support.
This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2027-04-30. It invites work at the intersection of computational drug repurposing, multimodal biomedical data, and AI, including omics, EHRs, real-world evidence, imaging, digital phenotyping, LLMs, graph neural networks, multimodal transformers, knowledge graphs, generative AI, causal inference, explainability, and clinical translation.
This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-07-21. It invites research on AI in sports medicine, including multimodal injury and medical-condition prediction, individualized diagnosis, treatment and rehabilitation, transparent and diverse datasets, open-source explainable AI, and safe AI systems for athlete and exercise health.
This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-06-01. It focuses on AI tools that support or deliver therapeutic interventions in mental health, including generative AI therapy bots, reinforcement-learning agents, human-in-the-loop models, clinical validity, safety, ethics, equity, and regulation.
This Nature Portfolio / npj Digital Medicine collection is open for submissions until 2026-07-12. It calls for work on agentic AI in care delivery, including real-time evidence-based decision support, virtual and remote patient care, multimodal and longitudinal clinical data, EHRs, medical imaging, genomics, resource-limited deployment, ethics, regulation, quality, and patient safety.
This Nature Portfolio / npj Cardiovascular Health collection is open for submissions until 2026-06-12. It calls for AI and machine learning work in cardiovascular care, including diagnostic evaluation, CVD risk prediction, cardiac imaging and ECG deep learning, EHR tooling, multi-omics, wearables, remote monitoring, deployment, transparency, ethics, and regulation.
This Nature Portfolio collection is open for submissions until 2026-05-15. It focuses on AI technologies for population medicine and public health, including infectious-disease early warning, pathogen detection, chronic disease risk stratification, policy simulation, wearable AI, multimodal fusion, federated learning, privacy preservation, and foundation models.
This SAGE / Design for Augmented Humanity special issue calls for papers on human-centred and augmented healthcare AI, including theories, applications, and methodologies. The CFP lists a paper submission deadline of 2026-05-30 and is relevant to clinical translation, trustworthy and explainable medical AI, human-AI collaboration, and clinical workflow AI.
This Technologies special issue calls for work on AI-enabled smart healthcare systems. It is relevant to medical AI submissions on intelligent monitoring, anomaly detection, assistive technologies, smart sensing, clinical decision support, and AI-assisted healthcare workflows. The page lists a manuscript submission deadline of 2026-08-30.
This Healthcare special issue focuses on artificial intelligence in public health, healthcare services, and management, including disease surveillance, outbreak prediction, GenAI in diagnostics, imaging and EHRs, patient engagement, and AI ethics and equity. The MDPI flyer lists a manuscript submission deadline of 2026-07-31.
This Diagnostics special issue calls for work on artificial intelligence for health and medicine, in a journal section focused on machine learning and AI in diagnostics. It is relevant to medical imaging, diagnostic pathology and radiology, digital health, rehabilitation, cybersecurity, patient safety, and clinical AI quality. The page lists a manuscript submission deadline of 2026-12-31.
This Applied Sciences special issue calls for novel approaches for machine learning in healthcare applications, with keywords including machine learning, deep learning, explainable AI, generative AI, BERT, GPT, and reinforcement learning. The page lists a manuscript submission deadline of 2026-06-30.
This Applied Sciences special issue calls for AI-driven healthcare work, including explainable and trustworthy AI, EHR and clinical text, bias and fairness, public health and epidemiology, translational AI, real-world clinical deployment, benchmarks, and reproducibility. The page lists a manuscript submission deadline of 2026-08-30.
This MDPI AI special issue calls for work on adversarial learning and its applications in healthcare, including robustness, privacy attacks and defenses, federated learning, generative AI for healthcare, and medical image analysis. The page lists a manuscript submission deadline of 2026-10-27.
The INFORMS Journal on Data Science CFP focuses on artificial intelligence and data science for healthcare. It is relevant to medical AI work on clinical prediction, decision support, operations, fairness, reliability, and deployment of data-driven healthcare systems. The CFP page lists a 2026 special issue call and submission timeline.
This Frontiers Research Topic calls for work on integrating multi-omics data with clinical information to improve diagnosis, prognosis, and personalized treatment. The page lists a manuscript deadline of 2026-09-14 and is currently accepting articles, making it a relevant journal CFP for clinical translation, multimodal medical AI, and precision medicine.
This Taylor & Francis / Risk Management and Healthcare Policy article collection focuses on artificial intelligence in healthcare risk management, including AI applications for early disease detection, personalized treatment optimization, real-time risk prediction, patient safety, and health-system risk management. The CFP listing gives a 2026-05-31 submission deadline.
CCF-Deadlines lists PRICAI 2026 with papers due 2026-06-13 UTC-12 and conference dates 2026-11-17 to 2026-11-20 in Guangzhou. PRICAI is a general AI venue relevant to medical AI methods, clinical decision support, medical agents, and trustworthy healthcare AI.
CCF-Deadlines lists NLPCC 2026 with papers due 2026-05-26 UTC+8 and conference dates 2026-11-03 to 2026-11-05 in Macau. NLPCC is relevant to Chinese clinical NLP, Chinese biomedical language resources, medical text mining, and healthcare question answering.
CCF-Deadlines lists ISWC 2026 with full papers due 2026-05-07 AoE, after an abstract deadline on 2026-05-02, and conference dates 2026-10-25 to 2026-10-29 in Bari. ISWC is relevant to medical AI through biomedical knowledge graphs, clinical ontologies, semantic data integration, and explainable clinical decision support.
CCF-Deadlines lists ICTAI 2026 with papers due 2026-06-30 AoE and conference dates 2026-11-02 to 2026-11-04 in Boca Raton. ICTAI is relevant to medical AI tools, clinical decision-support systems, medical LLM agents, and deployable AI techniques for healthcare workflows.
CCF-Deadlines lists ICONIP 2026 with papers due 2026-05-10 UTC-12 and conference dates 2026-11-23 to 2026-11-27 in Melbourne. The neural information processing scope is relevant to medical AI work on deep learning, biomedical signals, medical imaging, and clinical prediction.
CCF-Deadlines lists ICDM 2026 with full papers due 2026-06-06 AoE, after an abstract deadline on 2026-05-30, and conference dates 2026-11-12 to 2026-11-15 in Shenyang. ICDM is relevant to clinical data mining, EHR prediction, risk stratification, biomedical temporal modeling, and trustworthy health analytics.
CCF-Deadlines lists EMNLP 2026 with papers due 2026-05-25 UTC-12 and conference dates 2026-10-24 to 2026-10-29 in Budapest. EMNLP is relevant to clinical NLP, biomedical language models, medical text mining, EHR note understanding, and safe medical LLM evaluation.
CCF-Deadlines lists IEEE BigData 2026 with papers due 2026-08-21 AoE and conference dates 2026-12-14 to 2026-12-17 in Phoenix. IEEE BigData is relevant to healthcare big data, clinical data integration, EHR-scale prediction, biomedical multimodal analytics, and privacy-aware health data mining.
CCF-Deadlines lists APBC 2026 with papers due 2026-06-15 UTC+0 and conference dates 2026-10-21 to 2026-10-24 in Hsinchu. APBC is directly relevant to medical AI through bioinformatics, computational biology, multi-omics modeling, precision medicine, and AI-assisted biomedical discovery.
IEEE BIBM 2026 covers bioinformatics, biomedicine, and health informatics, including machine learning and AI, biomedical image analysis, biomedical signal analysis, clinical decision support, EHR standards, healthcare knowledge representation, NLP and text mining, and precision medicine. The official CFP lists electronic submission of full papers due 2026-07-05, notification on 2026-09-25, camera-ready on 2026-10-25, and the conference on 2026-12-01 to 2026-12-04 in Dallas.
Stanford Medicine RAISE Health symposium on responsible AI for safe and equitable health care.
Medical Imaging and Computer-Aided Diagnosis 2026 call for full papers, posters, and oral presentations.