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The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.

The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.

AI is transforming healthcare, enhancing diagnostics and treatment. Key technologies include ML, DL, and NLP. 🤖📈

January 8, 2025

Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.

🖼️ Computer Vision 🚑 Critical Care 🤖 Machine Learning 🧠 Neuroscience

Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.

New AI methods can predict neurologic changes in critically ill infants using video data. 🤖👶 Promising for NICU care!

January 8, 2025

NeuroFlow Integrates Intermountain Health’s Behavioral Health Analytics Model

💼 Health Entrepreneurship 🤖 Machine Learning 🧠 Mental Health 📰 News

NeuroFlow Integrates Intermountain Health’s Behavioral Health Analytics Model

NeuroFlow has acquired Intermountain Health's behavioral health analytics model, enhancing patient care through improved data integration and risk assessment. 📊🧠

January 8, 2025

Machine learning applications in healthcare clinical practice and research.

🩺 Endocrinology 🤖 Machine Learning 🌍 Public Health

Machine learning applications in healthcare clinical practice and research.

Machine learning is transforming healthcare. 🤖 This article reviews its impact on clinical practice and research. 📊

January 8, 2025

Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.

🍽️ Gastroenterology 🧪 Lab Medicine 🤖 Machine Learning

Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.

Artificial intelligence shows promise in enhancing gastrointestinal cancer care through improved data analysis and early detection. 🤖📊

January 7, 2025

A review of the machine learning datasets in mammography, their adherence to the FAIR principles and the outlook for the future.

💼 Digital Health Entrepreneurship 🤖 Machine Learning 🩺 Preventive Medicine

A review of the machine learning datasets in mammography, their adherence to the FAIR principles and the outlook for the future.

Exploring machine learning datasets in mammography reveals challenges in data quality and interoperability. 🩺📊 Future improvements are essential for better outcomes.

January 7, 2025

Artificial intelligence and stroke imaging.

🤖 Machine Learning 🧠 Neuroscience 🩺 Preventive Medicine

Artificial intelligence and stroke imaging.

AI enhances stroke imaging, offering personalized care through advanced models. Challenges remain in real-world application. 🧠💡

January 7, 2025

Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review.

⚖️ AI Ethics 🤖 Machine Learning

Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review.

AI in medicine needs robust guidelines. Our review highlights challenges in applicability and development rigor. 🩺🤖

January 6, 2025

AI in Healthcare: Progress and Challenges Ahead for 2025

⚖️ AI Ethics 💼 Digital Health Entrepreneurship 🤖 Machine Learning 📰 News

AI in Healthcare: Progress and Challenges Ahead for 2025

AI is advancing in healthcare, presenting both opportunities and challenges for 2025. 🤖💉

January 6, 2025

Analyzing the TotalSegmentator for facial feature removal in head CT scans.

⚖️ AI Ethics 🏥 General Practice 🌐 Telehealth

Analyzing the TotalSegmentator for facial feature removal in head CT scans.

Facial recognition in head CT scans raises privacy concerns. Our review of the TotalSegmentator highlights its effectiveness in defacing images. 🧠🔍

January 6, 2025

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The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency.

Detection of neurologic changes in critically ill infants using deep learning on video data: a retrospective single center cohort study.

NeuroFlow Integrates Intermountain Health’s Behavioral Health Analytics Model

Machine learning applications in healthcare clinical practice and research.

Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers.

A review of the machine learning datasets in mammography, their adherence to the FAIR principles and the outlook for the future.

Artificial intelligence and stroke imaging.

Guidelines and standard frameworks for artificial intelligence in medicine: a systematic review.

AI in Healthcare: Progress and Challenges Ahead for 2025

Analyzing the TotalSegmentator for facial feature removal in head CT scans.

Comment on Topaloglu et al. Machine Learning-Driven Lung Sound Analysis: Novel Methodology for Asthma Diagnosis. Adv. Respir. Med. 2025, 93, 32.

Communication, Compassion, and Shared Decision-Making in Allergy.

Shifting Focus: The Rise of WellTech in Health Innovation

Brainstorming Entrepreneurship in Brain Health.

Validity and Reliability of an AI-Based Jump Height App vs. Infrared Contact Mat: Minimal Influence of Skin Pigmentation Under Standardized Lighting.

Machine learning approached a 14-item shortened version of the Positive And Negative Sleep Appraisal Measure (PANSAM-14).

NHS Funding Prioritizes Non-Acute Care Settings

Extubation Decision Support in Critical Care: A Multimodal Machine Learning Framework Integrating Segmented Radiographs and Routine Clinical Data.

Harris Health Alliance Acquires eRedbook for Enhanced Child Health Services

Artificial Intelligence Applications in COVID-19-Associated Coagulopathy: Lessons Learned.