The Time Is Now for Artificial Intelligence, Machine Learning

From artificial intelligence (AI) and data integration to natural language processing and statistics, the Cedars-Sinai Department of Computational Biomedicine is utilizing the latest technological advances to find solutions to some of the most complex healthcare issues.

Tracking down social determinants of health in electronic health records

Researchers recently published one of the first studies in which natural language processing was applied to social determinants of health. The researchers developed three new natural language processing algorithms to successfully extract information from text data related to housing challenges, financial stability and employment status from electronic health records.

Mount Sinai Patients Receive Greater and Faster Access to Care With New Expanded Digital Tools

Mount Sinai Health System patients will experience greater access to care, fast identification of symptoms, efficient online search and connection to specialists, and easy appointment scheduling thanks to newly launched Digital Experience tools accessible on their smartphones or computers.

JMIR Medical Education Launches Special Issue on the Use of ChatGPT in Medical Education, After New Study Finds ChatGPT Passes the United States Medical Licensing Examination

A study published on February 8, 2023, in JMIR Medical Education, a leading open access journal on digital medical education, evaluated the potential of ChatGPT, a natural language processing model, as a medical education tool. The study found that ChatGPT reaches the equivalent of a passing score for a third-year medical student.

UCLA researchers use artificial intelligence tools to speed critical information on drug overdose deaths

Fast data processing of overdose deaths, which have increased in recent years, is crucial to developing a rapid public health response. But the system now in place lacks precision and takes months. To correct that, UCLA researchers have developed an automated process that reduces data collection to a few weeks.

Schizophrenia Study Suggests Advanced Genetic Scorecard Cannot Predict a Patient’s Fate

Researchers at the Icahn School of Medicine at Mount Sinai found that a tool commonly used in research for evaluating a person’s genetic risk for a disease, called a polygenic risk score, was no better at predicting the outcome of a schizophrenia patient’s disease over time than written reports. The results raise important questions about the use of polygenic risk scores in real-world, clinical situations, and also suggest that a doctor’s written report may be an untapped source of predictive information.

Talking Alone: Researchers Use Artificial Intelligence Tools to Predict Loneliness

A team led by researchers at University of California San Diego School of Medicine has used artificial intelligence technologies to analyze natural language patterns to discern degrees of loneliness in older adults.

“Multitasking” AI Tool Extracts Cancer Data in Record Time

Digital cancer registries collect, manage, and store data on cancer patients to help identify trends in diagnoses and treatment. However, cancer pathology reports are complex. To better leverage data, scientists developed an artificial intelligence-based natural language processing tool to help extract information from textual pathology reports.

Machine Learning Tool Could Provide Unexpected Scientific Insights into COVID-19

A team of materials scientists at Lawrence Berkeley National Laboratory – scientists who normally spend their time researching things like high-performance materials for thermoelectrics or battery cathodes – have built a text-mining tool in record time to help the global scientific community synthesize the mountain of scientific literature on COVID-19 being generated every day.

UC Santa Cruz launches new graduate program in natural language processing

The University of California, Santa Cruz, has established a new master’s (M.S.) degree program in Natural Language Processing (NLP), offered from the UCSC Silicon Valley Campus in Santa Clara. This innovative professional degree program will give students a strong background in the advanced computational technologies used to process and analyze the natural language that humans speak and write.