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Responsible use of AI and robotics in medicine Opportunities challenges and perspectives for otorhinolaryngology

[Responsible use of AI and robotics in medicine : Opportunities, challenges and perspectives for otorhinolaryngology].

AI and robotics in medicine: Transforming practices with ethical challenges. Key principles: transparency, shared responsibility, legitimacy. 🤖⚕️

January 16, 2026

Effects of Artificial Intelligence Recognition Based Telerehabilitation on Exercise Capacity in Patients With Hypertension Randomized Controlled Trial

🏋️ Fitness & Sports 🤖 Machine Learning 🩺 Preventive Medicine 🌐 Telehealth

Effects of Artificial Intelligence Recognition-Based Telerehabilitation on Exercise Capacity in Patients With Hypertension: Randomized Controlled Trial.

AI telerehabilitation boosts exercise capacity in hypertension patients: 62.77m improvement in 6MWD after 8 weeks! 📈💪

January 16, 2026

Artificial intelligence driven clustering for phenotyping life threatening prehospital trauma

🚑 Critical Care 🤖 Machine Learning

Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.

AI clusters trauma patients into three phenotypes, revealing 93.1% mortality in T-1 group. Key for emergency care! 🚑📊

January 16, 2026

Scoping review of regulatory transparency in AI based radiology software analysis of PMDA approved SaMD products

⚖️ AI Ethics 🥗 Nutrition 🛌 Palliative Care 🧬 Rare Diseases 🏢 Work Health

Scoping review of regulatory transparency in AI-based radiology software: analysis of PMDA-approved SaMD products.

Exploring AI in radiology: 2026 review on PMDA-approved software reveals transparency gaps. 📊🤖

January 15, 2026

AI powered hierarchical classification of ampullary neoplasms a deep learning approach using white light and narrow band imaging

🖼️ Computer Vision 🤖 Machine Learning 🎗 Oncology

AI-powered hierarchical classification of ampullary neoplasms: a deep learning approach using white-light and narrow-band imaging.

AI-driven deep learning enhances ampullary lesion diagnosis: 92.2% accuracy, 83.3% sensitivity for high-grade dysplasia. 📊🔍

January 15, 2026

Concerns Over Slow Adoption of Technology in NHS Says Health Secretary

💼 Health Entrepreneurship 🤖 Machine Learning 📰 News 🌍 Public Health

Concerns Over Slow Adoption of Technology in NHS, Says Health Secretary

NHS faces challenges in adopting technology, warns Health Secretary. Slow progress may hinder efficiency and patient care. 📉💻

January 14, 2026

ViSQA A benchmark dataset and baseline models for Vietnamese spoken question answering

🤖 Machine Learning 🗣️ Speech Recognition

ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering.

ViSQA: First Vietnamese Spoken Question Answering Benchmark with 13,000+ pairs, revealing ASR errors impact on performance. 📊🔍

January 14, 2026

Echocardiographic Evaluation in Children with Post Acute Sequelae of SARS CoV 2 Infection Using Deep Learning

🧠 Digital Therapeutics 🤖 Machine Learning 🌍 Public Health

Echocardiographic Evaluation in Children with Post-Acute Sequelae of SARS-CoV-2 Infection Using Deep Learning.

Echocardiography in Kids with PASC: Deep Learning Achieves 96.6% Accuracy! 🫀📊

January 14, 2026

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[Responsible use of AI and robotics in medicine : Opportunities, challenges and perspectives for otorhinolaryngology].

Effects of Artificial Intelligence Recognition-Based Telerehabilitation on Exercise Capacity in Patients With Hypertension: Randomized Controlled Trial.

Artificial intelligence-driven clustering for phenotyping life-threatening prehospital trauma.

Scoping review of regulatory transparency in AI-based radiology software: analysis of PMDA-approved SaMD products.

AI-powered hierarchical classification of ampullary neoplasms: a deep learning approach using white-light and narrow-band imaging.

Concerns Over Slow Adoption of Technology in NHS, Says Health Secretary

ViSQA: A benchmark dataset and baseline models for Vietnamese spoken question answering.

Echocardiographic Evaluation in Children with Post-Acute Sequelae of SARS-CoV-2 Infection Using Deep Learning.

Enhancing the Effectiveness of Electronic Patient Records in the NHS

[A new paradigm for precision diagnosis and treatment of colorectal cancer in the era of artificial intelligence–From foundation models to multi-agent collaboration].

MHRA Provides Guidance on Safe Use of Mental Health Apps

Enhancing Brain Tumor Classification and Generalization Using DDPM-Generated MRI, Mutual Information and Ensemble Learning.

NHS Launches National Genetics Programme for Cancer Risk Monitoring

KLiP: A neural network-based surveillance tool for early identification of listening difficulties in children aged 3-6 years.

Generative AI in simulation debriefings: an exploratory study using the Team-FIRST framework and qualitative feedback from simulation experts and learners.

Evaro Secures £18 Million to Expand Digital Healthcare Services

A Novel Integrative Framework for Depression: Combining Network Pharmacology, Artificial Intelligence, and Multi-Omics with a Focus on the Microbiota-Gut-Brain Axis.

Bacterial fructan-metabolizing enzymes: modular architecture and biotechnological potential.