LASIK offers an example of how ophthalmology is becoming data-driven, using advanced imaging to move beyond static ...

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Taking the targeting of oncologists likely to start treatment with CAR-T as an example, validation studies show that targeting top-scored physicians from predictive models yields precision rates of 60 ...

A data-driven environmental planning framework strengthens climate governance through quality control standards, interdisciplinary expertise, and predictive emission modeling. By integrating ...

From predictive maintenance to training, digital twins are becoming a core platform for operational efficiency in these sectors.

Approach to treatment of metastatic hormone-sensitive prostate (mHSPC) cancer among cooperative oncology groups (CCTG, SWOG, and Alliance) in North America.

Marketing teams are depending on predictive analytics in the artificial intelligence (AI) field to deliver results in several forms, including email, advertising and deal attribution. Marketers across ...

Sarah Brayne, the University of Texas at Austin 1 and planning committee member, began this session with an overview of person-based predictive policing approaches. Person-based predictive policing ...

This chapter delves into considerations for the implementation of both person-based and place-based predictive policing technologies. While these approaches differ in their specific focus, many of the ...