Articles related to ARTIFICIAL INTELLIGENCE (AI)

AI technologies are reshaping the world of nursing, creating opportunities for enhanced patient care and efficiency in healthcare delivery. In this ever-evolving landscape, nurses can use AI to guide decisions, take autonomous actions, and predict risks, making them critical players in this transformation. Clinical decision support tools, empowered by AI, assist nurses in making informed clinical decisions. These tools, such as alerts in the electronic health record (EHR), clinical practice guidelines, and order sets, boost the accuracy and specificity of predictions and suggestions beyond human capacity. For example, AI algorithms can accurately predict fall risks and suggest interventions, ensuring patients’ safety while reducing human error. Meanwhile, mobile health and sensor-based technologies are paving the way for remote patient care. These technologies, amplified by the COVID-19 pandemic, allow nurses to deliver care and monitor patients with limited resources, proving particularly beneficial for managing chronic illnesses. Through smartphones, apps, and wearable technologies, nurses can receive real-time data about patients’ health and respond accordingly. In addition to these, voice assistants and robotics are joining the nursing workforce. Voice assistants like Alexa and Google Assistant can potentially collect patient data and remind patients about medication or checkups, easing the load on nursing staff. Similarly, […]

Kahun, an evidence-based clinical reasoning tool for physicians, announced it is integrating its AI chatbot for physicians with ChatGPT, an open-source AI chatbot platform. This integration will allow Kahun to leverage ChatGPT’s advanced Large Language Model (LLM) capabilities to improve the patient experience and clinical outcomes. By integrating ChatGPT with its AI chatbot, Kahun will be able to offer patients a more personalized and engaging experience. The chatbot will be able to understand patients’ unique needs and preferences, and it will be able to provide them with the information and support they need to make informed decisions about their care. In addition, the chatbot will be able to identify patients who are at risk for complications, and it will be able to provide them with the necessary interventions to prevent these complications from occurring.

AI has exploded onto the scene in society, business, science, and medicine. At the same time, there are now decades of data from brain surgeries for DRE to train the programs. This confluence suggests that applications for precision epilepsy surgery may be here soon.

AI is coming to medicine rapidly — likely more rapidly than many practitioners are prepared for. Peruse these six questions and follow the paths that most interest you to ensure you have positioned yourself to ride the coming wave.

Medtronic is collaborating with Nvidia on developing means to allow AI to run on its devices. The solution will use Nvidia chips on Medtronic devices and an AI layer that would allow doctors to create their own algorithms to run on the machines. The first will be implemented on the GI Genius endoscopy module. Medtronic hopes the strategy will mean that millions of users around the globe will be contributing to making their devices more capable and flexible for the diversity of real-world clinic challenges.

Five-hundred thirty-five (535) digitalized biopsies were graded against three standard indexes. A neural network was trained to distinguish remission from activity. The model predicted endoscopic-verified remission or activity with approximately 80% accuracy.