Artificial intelligence guided physician directive improves head and neck planning quality and practice Uniformity: A prospective study

• Maryam Mashayekhi,
• Rafe McBeth,
• Dan Nguyen,
• Allen Yen,
• Zipalkumar Trivedi,
• Dominic Moon,
• Vlad Avkshtol,
• Dat Vo,
• David Sher,
• Steve Jiang,
• Mu-Han Lin

Affiliations

Maryam Mashayekhi

Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

Rafe McBeth

Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

Dan Nguyen

Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

Allen Yen

Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

Zipalkumar Trivedi

Varian Medical, Palo Alto, CA, USA

Dominic Moon

Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

Vlad Avkshtol

Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

Dat Vo

Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

David Sher

Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

Steve Jiang

Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA

Mu-Han Lin

Medical Artificial Intelligence and Automation (MAIA) Laboratory, Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA; Department of Radiation Oncology, UT Southwestern Medical Center, Dallas, TX, USA; Corresponding author at: 2280 Inwood Rd, Dallas, TX 75390, USA.