#EfficientNet-B3 is a reliable tool for early detection of Acute Lymphoblastic #Leukemia, offering high accuracy and computational efficiency. Clinical implementation requires addressing computational constraints and integration challenges #cancer #AI 🔗doi.org/10.1016/j.ijmedinf.2…

#Digitalisation of research processes using #REDCap improved organisation and execution of research, leading to greater efficiency and transparency, reduced administrative workload and enhanced collaboration. #research #patientcare doi.org/10.1016/j.ijmedinf.2…

#MachineLearning based predictive tool #XGBoost model to estimate the risk of brain metastasis in #lungcancer patients demonstrates significant potential, offering clinicians a dynamic, #personalized #riskassessment visualization method. Read more: doi.org/10.1016/j.ijmedinf.2…

🚨 New Impact Factor Alert! The International Journal of Medical Informatics jumps from 3.7 to 4.1! #journalmetrics Huge thanks to our authors, reviewers & readers for driving high-impact research in #medicalinformatics #healthtech

🚭Case study validates an IT framework for implementing mHealth tools like Sense2Quit app to support smoking cessation among patients with chronic conditions. User preferences, digital literacy & privacy matter for sustained success. 🔗doi.org/10.1016/j.ijmedinf.2… #mhealth #smoking

🧠How do primary-care #physicians feel about #AI in clinical settings? A systematic review reveals mixed attitudes, concerns among doctors over job security, and key barriers like bias, training and implementation. 🔗doi.org/10.1016/j.ijmedinf.2… #healthcare #primarycare #digitalhealth

💊 What drives #pharmacists to adopt e-prescribing? A new case study highlights key factors: ✅Tech design ✅Social influence ✅Performance expectations ✅Support systems Key insights on designing e-prescription systems. doi.org/10.1016/j.ijmedinf.2… #eprescription #pharmacy

Editor's choice: 87% of Australians aged 55 use digital tech - use of wearables & health apps drops steeply after 75. Findings from the 45 and Up Study highlight where #digitalhealth is thriving and where #equity gaps remain. #healthyaging #publichealth doi.org/10.1016/j.ijmedinf.2…

Exploring multi-stakeholder approaches for responsible #AI governance. A proposed model centers on patient needs, adaptability, transparency & empowerment that are key to ensuring AI is safe, effective & equitable towards service users #PatientEmpowerment doi.org/10.1016/j.ijmedinf.2…

ICD-11 implementation in European #oncology & #cancer registries highlights challenges in accuracy, consistency & clinician training. This study maps ICD-10 to ICD-11, offering insights for smoother adoption in health info systems #cancer #ICD10 #ICD11 doi.org/10.1016/j.ijmedinf.2…

#AI-based tools for predicting Type-2 #diabetes treatment non-adherence show moderate to high predictive ability. More external validation across diverse populations are needed to enhance impact on #healthcare #HealthTech #MedicalResearch doi.org/10.1016/j.ijmedinf.2…

AI-enabled #obesity prediction: A systematic review & meta-analysis (411,580 participants) reveals gaps in advanced #AI techniques for high-risk groups. Understanding key factors is crucial for effective AI application in #health #healthtech doi.org/10.1016/j.ijmedinf.2…

Again for PDA, we developed and validated a machine learning framework to explore the relationship between key genetic alterations and DNA methylation from the TCGA-PAAD and CPTAC-PDA datasets. This paper has been published on the @IJMedIn from @ElsevierConnect.

Out in @IJMedIn: Portuguese GPs highlight barriers to #deprescribing & the potential of #digitalhealth tools for medication appropriateness 💊 Read 👇 #Portugal #Polypharmacy #HealthcareInnovation #PatientCare #PatientSafety #Research #MedicationSafety 🔗 sciencedirect.com/science/ar…

Excited to share a milestone over a year in the making: the special issue of @IJMedIn, dedicated to #DigitalHealth in the WHO European Region. Thanks to our incredible authors and contributors, we have been able to take a closer look at: 🏥Digital health governance and policy 🆘ERIMS 📈Data exchange & EHRs 💻Telehealth expansion 🙋🏻Patient-centered digital health 🩺 SNL adoption 👩‍⚕️Digital competence profiles 📊HIS and CDSS All these studies offer invaluable insights that can inform policy, strategy development, and inspire further research and innovation across Europe’s diverse healthcare systems. A heartfelt thank you to the amazing co-editors: @alabriqu, @jdebarros28, @fsaigi. Please note that all papers in this special issue are freely accessible for a limited time — don't miss the opportunity to download them within the next three months! Let’s keep the momentum going. Which of these topics are you most interested in? Discover the studies here: sciencedirect.com/special-is…

📢 Revolutionizing patient referrals with SIPILINK! An e-referral system connects General Practitioners (GPs) & hospitals, ensuring 93% timely responses. 100% of GPs and most hospital staff report better communication & patient care. doi.org/10.1016/j.ijmedinf.2… #EReferral

🚨Cutting-edge ML research for Myasthenia Gravis! 🌟A new study achieves 76.5% accuracy in predicting myasthenic crisis risk using real-world clinical data. Explore how explainable AI can personalize treatment and improve outcomes. doi.org/10.1016/j.ijmedinf.2… #AIinHealthcare #ML

Revolutionizing healthcare: A new dual-strategy ML approach detects both collective & individual anomalies in time series data, improving decisions & safeguarding privacy. Learn more: doi.org/10.1016/j.ijmedinf.2… #AIHealth #AnomalyDetection

EHRs in the WHO European region: A 2022 survey reveals progress, barriers, and the need for stronger legislation, interoperability, and patient-centered strategies. Explore the subregional analysis: doi.org/10.1016/j.ijmedinf.2… #DigitalHealth #EHR

Meet 'survcompare': An R package bridging Cox models & machine learning for clinical predictions. Balances accuracy & interpretability, excelling in complex, high-dimensional datasets. Explore new insights: doi.org/10.1016/j.ijmedinf.2… #DataScience #ClinicalAI