Trust in AI for Ethical Decision-Making Remains Low
Trust in AI for ethical decisions is low. 🤖 People prefer human advisors, especially in moral dilemmas. 🧠
February 26, 2025
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Discover the newest research about AI innovations in Research.
ANALYSIS OF CHALLENGES AND POSSIBILITIES OF USING ARTIFICIAL INTELLIGENCE IN MEDICAL DIAGNOSTICS.
AI in medical diagnostics shows promise for accuracy and efficiency. Challenges like data bias and ethics need addressing. 🤖📊
February 26, 2025
Key Considerations for the NHS 10-Year Health Plan
NHS’s 10-Year Health Plan emphasizes prevention, community care, and digital solutions for improved patient outcomes. 🏥💻
February 26, 2025
Digital Therapeutics-Based Cardio-Oncology Rehabilitation for Lung Cancer Survivors: Randomized Controlled Trial.
Digital therapeutics enhance cardio-oncology rehabilitation for lung cancer survivors, improving fitness and quality of life. 📈💪
February 26, 2025
Spatial single-cell proteomics landscape decodes the tumor microenvironmental ecosystem of intrahepatic cholangiocarcinoma.
New research reveals the spatial tumor microenvironment of intrahepatic cholangiocarcinoma, impacting patient prognosis and treatment options. 🧬🔍
February 26, 2025
Epic to Showcase AI Innovations and New Technologies at HIMSS25
Epic will present AI advancements and new technologies at HIMSS25, focusing on improving healthcare efficiency and patient care. 🤖🏥
February 25, 2025
The Danish Lymphoid Cancer Research (DALY-CARE) Data Resource: The Basis for Developing Data-Driven Hematology.
The DALY-CARE resource enhances research on lymphoid cancers, combining extensive health data for improved patient care. 📊💉
February 25, 2025
Concerns Over AI Use in Healthcare: Trust Issues Among Adults
Study reveals 65.8% of adults lack trust in healthcare’s use of AI. Communication and engagement are essential for improvement. 🤖💔
February 25, 2025
Explainable hybrid transformer for multi-classification of lung disease using chest X-rays.
A recent study highlights a hybrid transformer model, LungMaxViT, achieving 96.8% accuracy in lung disease classification using chest X-rays. 🩻✨
February 25, 2025
A Deep Learning Approach for Mental Fatigue State Assessment.
This study explores deep learning for assessing mental fatigue in sports, achieving 95.29% accuracy. 🧠⚽️
February 25, 2025