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Machine learning is already being used in healthcare to diagnose diseases. For example, Google has developed an algorithm that can detect breast cancer based on images.
Study aims to develop a machine learning model to predict cardiovascular disease using indicators of oral infections Mar 17, 2023 ECG-based AI model can predict undiagnosed structural heart disease ...
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News-Medical.Net on MSNMachine learning identifies key lifestyle factors for healthy brain functionA new study offers insight into the health and lifestyle indicators - including diet, physical activity and weight - that align most closely with healthy brain function across the lifespan.
Revolutionizing Health Sciences: Bharath Kumar's Quantum Leap in Understanding Environmental Influence on Diseases with Machine Learning Created by Carl Williams Updated: Mar 25 2024, 03:46 AM EDT ...
Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction. Scientific Reports , 2023; 13 (1) DOI: 10.1038/s41598-023-27551-1 ...
Machine learning is ... Recent breakthroughs in algorithm-guided medical technologies and the ... improve the early detection of heart disease. Guidelines ultimately can influence payers and spur ...
The researchers report November 13, 2024, in the Cell Press journal Cell that differences in a patient's microbial load, which was found to be influenced by factors ranging from age, sex, diet ...
Women’s health leaders say this is a new era of artificial intelligence, enabling earlier diagnoses, more personalized treatments, and long-overdue attention to female medical conditions that… ...
Key points. People often distrust algorithms due to "algorithm aversion," even when they outperform humans. In one study, age, extraversion, and trust were the most significant factors influencing ...
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