Blog

Artificial intelligence in reproductive endocrinology: an in-depth longitudinal analysis of ChatGPTv4’s month-by-month interpretation and adherence to clinical guidelines for diminished ovarian reserve.

AI shows promise in reproductive health. 🤖 ChatGPTv4's accuracy in Diminished Ovarian Reserve guidelines improves over time. 📈

September 30, 2024

Evolving capabilities of computed tomography imaging for transcatheter valvular heart interventions new opportunities for precision medicine

🫀 Cardiology 🧪 Lab Medicine 🩺 Preventive Medicine

Evolving capabilities of computed tomography imaging for transcatheter valvular heart interventions – new opportunities for precision medicine.

Recent advancements in MDCT enhance precision in heart valve interventions. 🫀 This review highlights innovative imaging techniques for improved patient care. 📈

September 30, 2024

A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar

🤖 Machine Learning 🧠 Mental Health 💤 Sleep

A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar.

A recent study highlights a deep learning approach using radar for sleep posture recognition. Promising results show 82.74% accuracy. 💤📊

September 30, 2024

eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication

🏥 General Practice 💼 Health Entrepreneurship 🧠 LLM's 🌐 Telehealth

eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.

AI chatbots enhance patient care by providing personalized medical information securely. 🤖💬 Review of PubMed article highlights innovative eHealth solutions.

September 30, 2024

Birth of Industry 50 Making Sense of Big Data with Artificial Intelligence 22The Internet of Things22 and Next Generation Technology Policy

⚖️ AI Ethics 🤖 Internet of Things (IoT)

Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy.

Exploring Industry 5.0: AI, IoT, and Big Data's impact on health and technology. 🤖📊 Safety and innovation are key.

September 30, 2024

AI Governance A Challenge for Public Health

⚖️ AI Ethics 🌍 Public Health

AI Governance: A Challenge for Public Health.

AI governance poses challenges for public health. 🏥 Balancing benefits and risks is crucial for equitable outcomes. 🤖

September 30, 2024

Decoding Missense Variants by Incorporating Phase Separation via Machine Learning

🧬 Genetics 🤖 Machine Learning

Decoding Missense Variants by Incorporating Phase Separation via Machine Learning.

Recent research highlights a machine learning model, PSMutPred, predicting missense variant impacts on phase separation. 🧬🔍

September 30, 2024

🍽️ Gastroenterology 🤖 Machine Learning 🧪 Pathology

Imaging colonic polyps in 2024.

Colonoscopy is vital for colorectal cancer prevention. Recent advances in imaging techniques enhance polyp detection and management. 🩺🔍

September 30, 2024

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Artificial intelligence in reproductive endocrinology: an in-depth longitudinal analysis of ChatGPTv4’s month-by-month interpretation and adherence to clinical guidelines for diminished ovarian reserve.

Evolving capabilities of computed tomography imaging for transcatheter valvular heart interventions – new opportunities for precision medicine.

A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar.

eHealth Assistant AI Chatbot Using a Large Language Model to Provide Personalized Answers through Secure Decentralized Communication.

Birth of Industry 5.0: Making Sense of Big Data with Artificial Intelligence, “The Internet of Things” and Next-Generation Technology Policy.

AI Governance: A Challenge for Public Health.

Decoding Missense Variants by Incorporating Phase Separation via Machine Learning.

Imaging colonic polyps in 2024.

[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.

Hand X-rays findings and a disease screening for Turner syndrome through deep learning model.