ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.
August 27, 2025AI surpasses urologists in prostate cancer detection on micro-ultrasonography: 73% vs 58% sensitivity. ๐๐ค
AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.
August 27, 2025AI in Palliative Care: 125 studies reveal gaps in validation, transparency, and ethical frameworks. Future research is crucial! ๐ค๐
Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.
August 27, 2025AI quantifies bronchiectasis in COPD patients, linking scores to mortality and exacerbation risks. ๐๐
Early embryo development: the current perspective in molecular evaluation and clinical status.
August 27, 2025Exploring embryo development: molecular insights, AI advancements, and clinical challenges in ART. ๐งฌ๐ค
Empowering the next generation: integrating artificial intelligence education into medical training.
August 26, 2025Integrating AI in medical training enhances skills for future doctors. Key insights from Tan et al. (2025) reveal transformative potential. ๐ค๐
Actigraphy-based step analysis for the detection of depressed mood: An explainable machine learning approach.
August 26, 2025Actigraphy data reveals AI's potential in detecting depression: 0.679-0.833 AUROC accuracy across demographics. ๐๐ง
Harnessing AI-driven reverse docking in drug discovery: a comprehensive review of opportunities, challenges, and emerging trends.
August 26, 2025AI-driven reverse docking revolutionizes drug discovery, enhancing target identification and repurposing. Key insights from PubMed review. ๐๐ค
Moving beyond word error rate to evaluate automatic speech recognition in clinical samples: Lessons from research into schizophrenia-spectrum disorders.
August 25, 2025Evaluating ASR in clinical settings: WER ranges from 0.31 to 0.58 in schizophrenia samples. Context matters! ๐๐ง
Development and performance of a generative pretrained transformer for diabetes care.
August 25, 2025"Diabetes Help GPT achieves 91.7% accuracy in diabetes care responses, enhancing professional support. ๐๐ก"









