Intro to Bias in AI AI in healthcare is becoming increasingly discussed due to its ability to enhance human intelligence. However, it’s important to discuss algorithm bias that reflects human biases found in care. Furthermore, it’s important to note that bias can exist not only in the algorithm but also in...
Unifying Access to Medical Imaging Medical imaging provides a crucial role in both diagnosing and preventing a multitude of health conditions. However, medical imaging must overcome the challenge of providers and patients being unable to access the images or technology. For instance, two-thirds of the world's population lacks access to medical...
AI Enhances Clinical Decisions The use of artificial intelligence is increasing in the healthcare industry. Its popularity is partly due to its ability to promote human-centered design. One way that artificial intelligence achieves this is through the use of clinical decision support systems (CDSS). For instance, CDSS enhances human intelligence by...
AI Used to Assess Readiness in Soldiers AI benefits many sectors for its ability to track, predict, and analyze trends. Regarding military health, AI has the potential to monitor soldiers during their assessments and readiness procedures [1]. This is done using biometric data to test the effects of the selection process...
Perception of Augmented Intelligence Augmented intelligence is known for its ability to improve diagnosis, detect patient patterns, and predict various outcomes [1]. Some adults worry that artificial intelligence will replace the need for humans and would be destructive to healthcare. However, it’s important to clarify that augmented intelligence improves human intelligence....
Advances in Smart Home Monitoring with AI Patients with disabilities and older patients can benefit from AI monitoring homes via sensors and cameras [1]. For instance, AI can detect falls, dispense medications, and track a patient’s whereabouts as needed [1]. AI can also be paired with household machines like washing machines...
Overview of Key Issues Going into 2023 Earlier in 2023, we predicted that the healthcare industry would see more personalization and prevention options for patients [1]. Some key issues included a bias towards minority groups, the lack of patient engagement, and the need for improved collaboration between providers and patients. This...
Concerns for Patients When AI is Used The use of AI in healthcare is becoming increasingly mentioned due to its ability to transform personalized medicine. However, some patients may be concerned about the impact that AI will have on their care. First, a study was done where 31% reported feeling...
Obstacles to AI Deployment The private sector generally has more freedom when it comes to implementing AI compared to the public sector. This is because the public sector faces additional barriers and resistance related to finance, limited resources, and a lack of information on technology [1]. Oftentimes, machine learning requires an...
Healthcare Professionals Fearful of Being Replaced By AI Artificial intelligence is constantly mentioned as the next step in advancing the healthcare industry. Therefore, it’s not surprising that 44% of healthcare professionals are afraid of being replaced by AI [1]. This is due to the automation that artificial intelligence provides, and its...
