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OpenAIs Sora and Googles Veo 2 in Action A Narrative Review of Artificial Intelligence driven Video Generation Models Transforming Healthcare

OpenAI’s Sora and Google’s Veo 2 in Action: A Narrative Review of Artificial Intelligence-driven Video Generation Models Transforming Healthcare.

AI-driven video models like Sora and Veo 2 could transform healthcare delivery and education. 📹💡 Challenges remain, including misinformation risks.

January 21, 2025

ReIU an efficient preliminary framework for Alzheimer patients based on multi model data

🤖 Machine Learning 🧠 Neuroscience 👁️ Ophthalmology 🌍 Public Health

ReIU: an efficient preliminary framework for Alzheimer patients based on multi-model data.

New methods for early Alzheimer's detection using retinal imaging show promise. 🧠👁️ Review of ReIU framework highlights significant accuracy.

January 21, 2025

NHS SBS to Establish New AI Solutions Framework for Healthcare

🤖 Machine Learning 📰 News 🧪 Pathology 🩺 Preventive Medicine 🌍 Public Health 🩻 Radiology

NHS SBS to Establish New AI Solutions Framework for Healthcare

NHS SBS is developing a new AI solutions framework for healthcare, focusing on diagnostics, predictive analytics, and operational efficiency. 🤖🏥

January 21, 2025

Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50 utilizing artificial intelligence driven radiomics analysis

🤖 Machine Learning 🥗 Nutrition 🦴 Orthopedics 🛌 Palliative Care 🧪 Pathology

Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.

AI-driven model enhances diagnosis of pulmonary nodules. 🤖📊 Study shows promise in distinguishing benign from malignant cases.

January 21, 2025

NHS Trusts Face Patient Safety Risks Due to Digital Compliance Issues

⚖️ AI Ethics 🏥 Hospital Management 📰 News

NHS Trusts Face Patient Safety Risks Due to Digital Compliance Issues

NHS trusts face patient safety risks due to digital compliance issues. ⚠️ Historical failures in safety standards raise concerns. 🏥

January 20, 2025

Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms

🤖 Machine Learning 👶 Pediatrics 🌍 Public Health 💉 Vaccination

Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.

A recent study reviewed highlights machine learning's role in predicting longer duration diarrhea in children. Key findings emphasize early identification. 📊👶

January 20, 2025

Explainable Predictive Model for Suicidal Ideation During COVID 19 Social Media Discourse Study

🤖 Machine Learning 🧠 Mental Health

Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study.

Exploring suicidal ideation during COVID-19 through social media analysis. 🤔🧠 Key findings highlight the importance of language patterns. 📊

January 20, 2025

Novel Strategies for the Treatment of Lung Cancer An In depth Analysis of the Use of Immunotherapy Precision Medicine and Artificial Intelligence to Improve Prognoses

🎗 Oncology

Novel Strategies for the Treatment of Lung Cancer: An In-depth Analysis of the Use of Immunotherapy, Precision Medicine, and Artificial Intelligence to Improve Prognoses.

Innovative lung cancer treatments are emerging. 🫁 Immunotherapy, precision medicine, and AI show promise for better patient outcomes. 🌟

January 20, 2025

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OpenAI’s Sora and Google’s Veo 2 in Action: A Narrative Review of Artificial Intelligence-driven Video Generation Models Transforming Healthcare.

ReIU: an efficient preliminary framework for Alzheimer patients based on multi-model data.

NHS SBS to Establish New AI Solutions Framework for Healthcare

Development of a clinical prediction model for benign and malignant pulmonary nodules with a CTR ≥ 50% utilizing artificial intelligence-driven radiomics analysis.

NHS Trusts Face Patient Safety Risks Due to Digital Compliance Issues

Derivation and validation of a clinical predictive model for longer duration diarrhea among pediatric patients in Kenya using machine learning algorithms.

Explainable Predictive Model for Suicidal Ideation During COVID-19: Social Media Discourse Study.

Novel Strategies for the Treatment of Lung Cancer: An In-depth Analysis of the Use of Immunotherapy, Precision Medicine, and Artificial Intelligence to Improve Prognoses.

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.