Anyone who has conducted document review knows the frustration of keyword search. You craft what seems like a comprehensive list of terms, run ...
Dengue and chikungunya, the two mosquito-borne diseases that frequently circulate at the same time, share the same Aedes ...
Explore the implications of AI errors in health care and the necessity for human oversight in drug prescribing.
Abstract: Using machine learning applied to multimodal physiological data allows the classification of cognitive workload (low, moderate, or high load) during task performance. However, current ...
When a crime occurs in private, with no witnesses, a court contest is a tussle in which two stories compete to offer the most plausible explanation of the same facts. Photographs and audio recordings ...
Twenty-five years of research into complex systems shows why artificial intelligence will always produce errors in healthcare ...
Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
Abstract: Depression is a significant mental health problem and presents a challenge for the machine learning field in the detection of this illness. This study explores automated depression ...
Background: Depression is a major public health concern, affecting an estimated five percent of the global population. Early and accurate diagnosis is essential to initiate effective treatment, yet ...