ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.
AI surpasses urologists in prostate cancer detection on micro-ultrasonography: 73% vs 58% sensitivity. 📊🤖
AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.
AI in Palliative Care: 125 studies reveal gaps in validation, transparency, and ethical frameworks. Future research is crucial! 🤖💔
Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.
AI quantifies bronchiectasis in COPD patients, linking scores to mortality and exacerbation risks. 📊💔
Early embryo development: the current perspective in molecular evaluation and clinical status.
Exploring embryo development: molecular insights, AI advancements, and clinical challenges in ART. 🧬🤖
Empowering the next generation: integrating artificial intelligence education into medical training.
Integrating AI in medical training enhances skills for future doctors. Key insights from Tan et al. (2025) reveal transformative potential. 🤖📚
Actigraphy-based step analysis for the detection of depressed mood: An explainable machine learning approach.
Actigraphy data reveals AI's potential in detecting depression: 0.679-0.833 AUROC accuracy across demographics. 📊🧠
Harnessing AI-driven reverse docking in drug discovery: a comprehensive review of opportunities, challenges, and emerging trends.
AI-driven reverse docking revolutionizes drug discovery, enhancing target identification and repurposing. Key insights from PubMed review. 💊🤖
Moving beyond word error rate to evaluate automatic speech recognition in clinical samples: Lessons from research into schizophrenia-spectrum disorders.
Evaluating ASR in clinical settings: WER ranges from 0.31 to 0.58 in schizophrenia samples. Context matters! 📊🧠