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Patient Experience with Intranasal Esketamine in Treatment Resistant Depression Insights from a Multicentric Italian Study REAL ESKperience

Patient Experience with Intranasal Esketamine in Treatment-Resistant Depression: Insights from a Multicentric Italian Study (REAL-ESKperience).

Patient experiences with intranasal esketamine show 88.4% report improved quality of life in treatment-resistant depression. 🌟🧠

April 26, 2025

Eli Lilly Takes Legal Action Against Telehealth Companies for Selling Unapproved Drugs

📰 News 💊 Pharmacy 🩺 Preventive Medicine 🌍 Public Health

Eli Lilly Takes Legal Action Against Telehealth Companies for Selling Unapproved Drugs

Eli Lilly has filed lawsuits against telehealth companies for selling unapproved drugs containing tirzepatide, risking patient safety. ⚖️💊

April 26, 2025

Expert and Interdisciplinary Analysis of AI Driven Chatbots for Mental Health Support Mixed Methods Study

⚖️ AI Ethics 🧠 Mental Health

Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study.

AI Chatbots in Mental Health: Risks, Trust Issues, and Ethical Concerns 🤖🧠

April 26, 2025

HeartBeam and AccurKardia Collaborate to Enhance Cardiac Diagnostics

🫀 Cardiology 🤖 Machine Learning 📰 News 🩺 Preventive Medicine

HeartBeam and AccurKardia Collaborate to Enhance Cardiac Diagnostics

HeartBeam and AccurKardia collaborate to improve cardiac diagnostics with advanced ECG analysis software. 📈❤️

April 25, 2025

When the whole is greater than the sum of its parts why machine learning and conventional statistics are complementary for predicting future health outcomes

🦠 Epidemiology 🧠 LLM's 🤖 Machine Learning

When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes.

Machine learning 🤖 and conventional statistics 📊 enhance health outcome predictions together, as shown in recent research.

April 25, 2025

The predictive role of identifying frailty in assessing the need for palliative care in the elderly the application of machine learning algorithm

👵 Elderly Care 🤖 Machine Learning 🛌 Palliative Care

The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm.

Machine learning predicts palliative care needs in COPD patients with 92% accuracy. Key factors: BMI, fatigue, activity level, FEV1. 📊💡

April 25, 2025

New AI Tools Enhance Trust and Usability in Healthcare

⚖️ AI Ethics 🧠 LLM's 🤖 Machine Learning 📰 News

New AI Tools Enhance Trust and Usability in Healthcare

New AI tools aim to improve trust and usability in healthcare. 🤖💉 Enhanced patient engagement and streamlined processes are key benefits.

April 25, 2025

Blue Shield of California Discloses Data Sharing with Google Affecting 47 Million Members

🔐 Blockchain 💵 Health Economics 📰 News 🌍 Public Health

Blue Shield of California Discloses Data Sharing with Google Affecting 4.7 Million Members

Blue Shield of California shared data with Google, affecting 4.7 million members. No sensitive information was disclosed. 📊🔒

April 25, 2025

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Patient Experience with Intranasal Esketamine in Treatment-Resistant Depression: Insights from a Multicentric Italian Study (REAL-ESKperience).

Eli Lilly Takes Legal Action Against Telehealth Companies for Selling Unapproved Drugs

Expert and Interdisciplinary Analysis of AI-Driven Chatbots for Mental Health Support: Mixed Methods Study.

HeartBeam and AccurKardia Collaborate to Enhance Cardiac Diagnostics

When the whole is greater than the sum of its parts: why machine learning and conventional statistics are complementary for predicting future health outcomes.

The predictive role of identifying frailty in assessing the need for palliative care in the elderly: the application of machine learning algorithm.

New AI Tools Enhance Trust and Usability in Healthcare

Blue Shield of California Discloses Data Sharing with Google Affecting 4.7 Million Members

Compact large language models for title and abstract screening in systematic reviews: An assessment of feasibility, accuracy, and workload reduction.

Patients Can Enroll in Cancer Trials Through NHS App

Scottish GPs Highlight Need for Improved IT Systems

Diagnostic performance of convolutional neural network-based AI in detecting oral squamous cell carcinoma: a meta-analysis.

Use of Automation Technologies and Data Mining in Speech Recognition for Autism.

Bridging machine learning and clinical practice: a multicentre nomogram for 90-day graft failure risk stratification in heart transplantation.

Future trends and challenges in occupational therapy: Insights from a Delphi study.

Classification of angioedema types using decision tree modeling.

Northamptonshire’s Shared Care Record Project Expected to Save Over £1 Million

[Reconstruction of superficial organs: a leap from structural restoration to functional rehabilitation].