#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.🔗

#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.

#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:

🚨 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. 🔗#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. 🔗#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. #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.

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

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

#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.

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

RT @GianMaria_Zeit: Again for PDA, we developed and validated a machine learning framework to explore the relationship between key genetic….

RT @ShoaibAlamKhat2: Out in @IJMedIn: Portuguese GPs highlight barriers to #deprescribing & the potential of #digitalhealth tools for medic….

RT @davidnovillo: Excited to share a milestone over a year in the making: the special issue of @IJMedIn, dedicated to #DigitalHealth in the….

📢 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. #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. #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: #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: #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: #DataScience #ClinicalAI