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Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre and Post Transplant Factors and Computational Intelligence

Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre- and Post-Transplant Factors and Computational Intelligence.

AI model predicts allo-HSCT survival with 93.26% accuracy using 7 key factors. Study includes 564 patients. 📊🩸

August 27, 2025

ProMUS NET Artificial intelligence detects more prostate cancer than urologists on micro ultrasonography

🤖 Machine Learning 🧪 Pathology

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. 📊🤖

August 27, 2025

AI in Palliative Care A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation

⚖️ AI Ethics 🤖 Machine Learning 🛌 Palliative Care

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! 🤖💔

August 27, 2025

Bronchiectasis in patients with chronic obstructive pulmonary disease AI based CT quantification using the bronchial tapering ratio

🤖 Machine Learning 🫁 Pulmonology

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. 📊💔

August 27, 2025

Early embryo development the current perspective in molecular evaluation and clinical status

🧬 Genetics 🤖 Machine Learning 🩺 Preventive Medicine

Early embryo development: the current perspective in molecular evaluation and clinical status.

Exploring embryo development: molecular insights, AI advancements, and clinical challenges in ART. 🧬🤖

August 27, 2025

Empowering the next generation integrating artificial intelligence education into medical training

🎓 Digital Health Education 🤖 Machine Learning 💉 Rheumatology

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. 🤖📚

August 26, 2025

Actigraphy based step analysis for the detection of depressed mood An explainable machine learning approach

🤖 Machine Learning 🧠 Mental Health

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. 📊🧠

August 26, 2025

Harnessing AI driven reverse docking in drug discovery a comprehensive review of opportunities challenges and emerging trends

🧪 Drug Discovery 🧬 Genetics 🤖 Machine Learning 👤 Personalized Medicine

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. 💊🤖

August 26, 2025

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Survival Prediction in Allogeneic Haematopoietic Stem Cell Transplant Recipients Using Pre- and Post-Transplant Factors and Computational Intelligence.

ProMUS-NET: Artificial intelligence detects more prostate cancer than urologists on micro-ultrasonography.

AI in Palliative Care: A Scoping Review of Foundational Gaps and Future Directions for Responsible Innovation.

Bronchiectasis in patients with chronic obstructive pulmonary disease: AI-based CT quantification using the bronchial tapering ratio.

Early embryo development: the current perspective in molecular evaluation and clinical status.

Empowering the next generation: integrating artificial intelligence education into medical training.

Actigraphy-based step analysis for the detection of depressed mood: An explainable machine learning approach.

Harnessing AI-driven reverse docking in drug discovery: a comprehensive review of opportunities, challenges, and emerging trends.

Sonia Patel to Depart as NHS England Chief Technology Officer

Recent advances in reticular frameworks and allied composite materials for ultrasensitive optical detection of biogenic and volatile amines in food spoilage monitoring.

Prediction of the displacements of the pile tops and ground surface around piles based on machine learning algorithms.

NHS Wales App Enhances Patient Access to Waiting List Information

Prediction of renal cell carcinoma: Development and validation of machine learning model.

Weekly Health & AI Digest – January 26, 2026

Assessing Health Care Professionals’ Perceptions of a New System in Clinical Workflows: Systems Engineering Initiative for Patient Safety-Based Consensual Qualitative Research.

Breast cancer frontiers: mapping molecular signals, intelligent diagnostics, and adaptive therapies.

Biatrial cardioneuroablation guided by robotic magnetic navigation and artificial intelligence-based mapping in vagal bradyarrhythmias: A controlled observational study.

Decoding Data Science Upskilling: Insights From 5 Years of Data Science Projects at the Centers for Disease Control and Prevention, 2019-2023.