ARTIFICIAL INTELLIGENCE (AI)

People with inflammatory bowel disease (IBD) have a higher risk of colorectal cancer and need regular colonoscopies to catch early warning signs. This study compares two techniques—narrow-band imaging (a special light) and an artificial intelligence (AI) system—to see which finds…

This study tests whether an AI tool can help radiologists diagnose common diseases from medical scans like CT or MRI. About 1,000 patients' images will be reviewed by radiologists with and without AI assistance. The goal is to see if AI improves accuracy, speed, and report qualit…

This study tested an artificial intelligence model that combines CT scans, digital pathology images, and patient history to improve diagnosis and risk prediction for gastrointestinal stromal tumors (GISTs). Researchers enrolled 300 patients with suspected stomach tumors. The AI a…

This completed study tested whether artificial intelligence (AI) can detect systemic diseases, like liver problems, by analyzing eye images. Researchers trained a deep learning model on eye photos from 775 participants. The goal was to see if the AI could spot signs of disease th…

This large study in China compared how well primary care doctors detect congenital heart disease in children using a regular stethoscope versus an AI-assisted electronic stethoscope. Nearly 20,000 children aged 0-18 from schools and kindergartens were screened. The goal was to se…

This study looked at whether an artificial intelligence (AI) tool can help doctors diagnose ventilator-associated pneumonia (a serious lung infection) in ICU patients. Researchers analyzed chest X-rays from 119 adults on breathing machines, comparing the AI's readings to doctors'…

This study tested an artificial intelligence (AI) system to predict which patients might have a difficult time being intubated (having a breathing tube placed) during general anesthesia. Researchers measured physical features like mouth opening and neck size, plus took photos, an…

This completed study tested whether an artificial intelligence program, trained on patient photos, could predict if inserting a double-lumen breathing tube would be difficult. Researchers took six photos of the head and neck of 260 adults undergoing thoracic surgery and used the …

Researchers tested an artificial intelligence program that analyzes retinal images to diagnose several nerve and brain conditions, such as optic neuropathy and brain tumors. The study used data from 693 patients with confirmed diagnoses. The goal is to create a fast triage tool f…

This study tests whether watching a short, AI-generated relaxing video can improve breastfeeding confidence, motivation, and effectiveness in first-time mothers. Forty-six women who give birth vaginally will be randomly assigned to either watch the video or receive standard care.…

This study tested a software system that uses a humanoid robot to give cognitive and motor tests to people with early Alzheimer's or other mild to moderate dementia. The goal was to see if the robot could effectively administer tests like the Mini Mental State Exam (MMSE) and hel…

This study asks 150 surgical nurses about their thoughts on artificial intelligence in their daily work. Researchers want to know if nurses feel ready for AI and how they think it might change patient care. The study does not test any treatment or device—it simply gathers opinion…

This trial compares three teaching methods for nursing students: traditional teaching, case analysis, and AI-supported case analysis. The goal is to see if AI can boost students' knowledge, case management performance, and ability to identify nursing diagnoses. About 93 fourth-ye…

This trial compares AI-supported case analysis with traditional instructor-led teaching for second-year nursing students. The goal is to see whether learning with artificial intelligence boosts students' knowledge, satisfaction, and clinical decision-making skills. Forty-two stud…

This study tests whether using artificial intelligence to analyze patient cases helps nursing students learn more effectively. Forty fourth-year nursing students will be randomly assigned to either AI-assisted or traditional case analysis. Researchers will measure their knowledge…

This study compares AI-powered virtual patients with traditional role-play for teaching dental students how to take medical and dental histories. Fifty-six third-year dental students will practice with either a Gemini-based AI patient or a human actor over four sessions. Research…

This study tested whether an AI-powered role-play chatbot could help nursing students improve their breastfeeding counseling skills. 80 students were split into three groups: one practiced with an AI chatbot acting as a mother, one did peer role-play, and one received standard le…

This study tested whether an AI tool could help hospital doctors write end-of-rotation handoff notes faster and with less stress. 85 doctors were randomly assigned to use the AI draft feature or not. Researchers measured time spent on notes and feelings of burnout.

This study tested whether an AI scribe that listens to doctor-patient conversations can reduce doctor burnout and improve patient satisfaction. 139 doctors and advanced practice providers from primary care, oncology, and urology were randomly assigned to use the AI scribe or cont…

This study tested two different AI scribe tools to see if they could help doctors spend less time writing notes and feel less burned out. About 238 UCLA doctors used one of the tools or continued their usual routine for two months. The goal was to see if the AI tools could make d…

This study tested an AI system called AMIE that talks with patients before their urgent care appointment. About 100 adults had a conversation with the AI, supervised by a doctor for safety. Researchers checked how patients and doctors felt about the AI, the quality of the convers…

This study looked at whether ChatGPT-4, an AI tool, can accurately predict which emergency room patients need intensive care. Researchers compared the AI's predictions to decisions made by doctors for 624 patients. The goal is to see if AI can support clinical decision-making and…

This study tested an AI system that reads medical records of 308 heart disease patients and pulls out key information like test results and diagnosis types. The AI's accuracy was compared to that of seven doctors. The goal was to see if AI can help make clinical data collection f…

This study tested whether an artificial intelligence (AI) tool could help measure dental anxiety in children aged 3 to 6 years. 171 children having their first dental visit were assessed using both the new AI method and standard picture-based anxiety scales before and after meeti…

This study tested whether artificial intelligence (AI) can predict how much pain a person will feel after lung surgery. Researchers used data from over 600 patients to train AI algorithms. The goal is to help doctors give the right pain medicine to the right patients, reducing si…

This study tested whether AI-generated feedback after virtual patient visits helps medical students improve their history-taking skills. 115 sixth-semester medical students at Karolinska Institutet interacted with a social robotic virtual patient platform. Some received AI feedba…

This study compared how well an AI chatbot (ChatGPT) answered common questions from people with knee or hip osteoarthritis versus answers from real doctors. 286 patients rated the responses for preference, length, and difficulty. The goal was to see if AI could provide acceptable…