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Prospective evaluation of artificial intelligence AI applications for use in cancer pathways following diagnosis a systematic review

Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review.

AI's role in cancer care is evolving. A recent review highlights challenges in clinical validation and implementation. 🤖💉

February 15, 2025

New Cancer Diagnostic Pathway Service to Launch on Federated Data Platform

⚖️ AI Ethics 💼 Health Entrepreneurship 📰 News 🎗 Oncology 🌍 Public Health

New Cancer Diagnostic Pathway Service to Launch on Federated Data Platform

New cancer diagnostic pathway service launching in 2025 aims to improve patient care through better data access. 🩺📊

February 15, 2025

Integrating Artificial Intelligence in Stroke Rehabilitation Current Trends and Future Directions A mini review

⚖️ AI Ethics 🤖 Machine Learning 🛌 Palliative Care 🌐 Telehealth 🧑‍🦽 Rehabilitation

Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review.

AI is transforming stroke rehabilitation, offering customized treatments and real-time monitoring. Challenges like data security remain. 🤖🧠

February 15, 2025

Innovative Digital Health Technologies for Brain Health

⌚ Wearables 🕶️ AR-VR 🖼️ Computer Vision 🧠 Digital Therapeutics 🤖 Internet of Things (IoT)📰 News

Innovative Digital Health Technologies for Brain Health

Digital health technologies are advancing brain health. Tools like wearables, AI, and robotic pets show promise. 🧠🤖

February 14, 2025

Relevance of proteomics and metabolomics approaches to overview the tumorigenesis and better management of cancer

🤖 Machine Learning 🎗 Oncology

Relevance of proteomics and metabolomics approaches to overview the tumorigenesis and better management of cancer.

Proteomics and metabolomics are vital in cancer research, revealing insights into tumor biology and potential therapies. 🧬🔬

February 14, 2025

Mount Sinai Health Systems New CDIO Shares Vision for Digital Strategy

📱 Digital Detox 💼 Digital Health Entrepreneurship 🧠 Digital Therapeutics 🏥 Hospital Management 🤖 Internet of Things (IoT)📰 News

Mount Sinai Health System’s New CDIO Shares Vision for Digital Strategy

Mount Sinai's new CDIO, Lisa S. Stump, outlines digital strategy goals for improved healthcare outcomes and data utilization. 📊💻

February 14, 2025

Artificial intelligence assisted point of care devices for lung cancer

🧠 Digital Therapeutics 🤖 Machine Learning 🌍 Public Health 🫁 Pulmonology

Artificial intelligence-assisted point-of-care devices for lung cancer.

AI-enhanced biosensors show promise for early lung cancer detection. 🌟 They offer user-friendly, minimally invasive options. 🩺

February 14, 2025

Data based regression models for predicting remifentanil pharmacokinetics

🧪 Drug Discovery 🤖 Machine Learning 💊 Pharmacy

Data-based regression models for predicting remifentanil pharmacokinetics.

New research highlights machine learning's role in predicting remifentanil pharmacokinetics, enhancing dosage accuracy in pain management. 💉📊

February 14, 2025

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Prospective evaluation of artificial intelligence (AI) applications for use in cancer pathways following diagnosis: a systematic review.

New Cancer Diagnostic Pathway Service to Launch on Federated Data Platform

Integrating Artificial Intelligence in Stroke Rehabilitation: Current Trends and Future Directions; A mini review.

Innovative Digital Health Technologies for Brain Health

Relevance of proteomics and metabolomics approaches to overview the tumorigenesis and better management of cancer.

Mount Sinai Health System’s New CDIO Shares Vision for Digital Strategy

Artificial intelligence-assisted point-of-care devices for lung cancer.

Data-based regression models for predicting remifentanil pharmacokinetics.

Enhancing diagnostic capability with multi-agents conversational large language models.

[Evaluating the accuracy of large language models in answering mammography screening questions in Italian and English: a study based on the Eusobi guidelines.].

The Potential of ChatGPT as a Source of Information for Kidney Transplant Recipients and Their Caregivers.

Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery.

Electrochemical biosensing in oncology: a review advancements and prospects for cancer diagnosis.

Feature-Based Audiogram Value Estimator (FAVE): Estimating Numerical Thresholds from Scanned Images of Handwritten Audiograms.

Predicting periprosthetic joint infection in primary total knee arthroplasty: a machine learning model integrating preoperative and perioperative risk factors.

Dual-branch dynamic hierarchical U-Net with multi-layer space fusion attention for medical image segmentation.

Multidisciplinary clinician perceptions on utility of a machine learning tool (ALERT) to predict 6-month mortality and improve end-of-life outcomes for advanced cancer patients.

Integrated multiomics analysis and machine learning refine neutrophil extracellular trap-related molecular subtypes and prognostic models for acute myeloid leukemia.