Ethical considerations in AI for child health and recommendations for child-centered medical AI
There does not exist any previous comprehensive review on AI ethics in child health or any guidelines for management, unlike in adult medicine. Thi…
Tag: machine learning
Unifying fragmented perspectives with additive deep learning for high-dimensional models from partial faceted datasets
Biological systems are complex networks where measurable functions emerge from interactions among thousands of components. Many studies aim to link…
Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid diagnosis and antibiotic discovery. While conventional tes…
Epigenetic ageing clocks: statistical methods and emerging computational challenges
Over the past decade, epigenetic clocks have emerged as powerful machine learning tools, not only to estimate chronological and biological age but …
Artificial intelligence in digital pathology — time for a reality check
The past decade has seen the introduction of artificial intelligence (AI)-based approaches aimed at optimizing several workflows across many medica…