Dental technology research is being pioneered by the University of Illinois at Chicago's College of Dentistry. Leading the way in the integration of artificial intelligence and big data in dentistry are Drs. Min Kyeong Lee, Maysaa Oubaidin, Veerasathpurush Allareddy, Flavio José Castelli Sanchez, and Mohammed H. Elnagar. They emphasized how tech can improve treatment and accessibility rather than just focusing on trends.

Through the research, they addressed complex issues such as cleft palates and fine-tuning AI systems to ensure justice.

Dr. Veerasathpurush Allareddy emphasized how inclusive AI concepts are shaped by their urban environment. Their advancements in 3D analysis, blockchain sharing, and home monitoring portend a revolution in dental care.

Their aim? Combine cutting-edge technology with individualized, precise care for each patient who enters a dental office.

Utilizing AI for Dentistry

The University of Illinois Chicago is leading the way in artificial intelligence applications for diagnosis, treatment planning, and remote monitoring, ushering in a new age in dentistry.

Dentists at UIC and engineers from the College of Engineering have collaborated across disciplines to create AI algorithms that evaluate scans and radiographs, transforming treatment approaches.

Under the direction of Professor Ahmet Enis Cetin, the group transforms orthodontic treatment choices by using deep learning and image analysis to evaluate patient maturity from X-rays.

The AI model developed by Dr. Mohammed Elnagar's team, which operates 18 years of dental records to determine whether a patient is better off with braces alone or with extra surgical intervention, won praise.

Moreover, 3D tooth models generated from home scans enable remote monitoring, reducing in-person visits.

AI algorithms detect progress and potential complications, matching clinical scan quality. Clinical trials assessed the efficacy of AI-guided remote treatment decisions.

Dr. Min Kyeong Lee underscored the significance for distant patients, reducing travel burdens and enhancing treatment accessibility.

UIC's pioneering AI applications signal transformative potential in dental care delivery.

Dentists aim to predict future patient needs by integrating genomics into orthodontic care. Dr. Allareddy leads UIC's AI research, foreseeing personalized treatments by linking genes to tooth changes.

However, dentistry needs data-sharing infrastructure. To bridge this, a proposed blockchain system could revolutionize global dental research, enabling collaborative AI-driven analyses for unbiased, inclusive care.

AI For Liver Health Monitoring

In a recent report here in Mobile and Apps, an international team led by Dr. Patrick Starlinger from Mayo Clinic Comprehensive Cancer Center crafted a groundbreaking risk prediction model accessible through a smartphone app.

This innovation, detailed in the Annals of Surgery, enhances liver surgery safety by predicting potential post-surgical liver failure.

Utilizing data from over 14,000 patients, the app offers a personalized approach, considering individual patient factors.

This advancement, leveraging essential patient traits, provides a less invasive yet highly effective alternative to traditional liver function tests.

Dr. Starlinger emphasized its capacity to customize risk evaluations, heralding a new era in surgical safety and highlighting the potential of smartphone applications to transform healthcare practices.