Highlights•Artificial Intelligence (AI) has transformed many areas such as speech and image
recognition, but not yet drug discovery.•Approaches to AI in drug discovery need to take in …

Radiation outcomes prediction (ROP) plays an important role in personalized prescription
and adaptive radiotherapy. A clinical decision may not only depend on an accurate radiation …

Purpose Needle‐based procedures for diagnosing and treating prostate cancer, such as
biopsy and brachytherapy, have incorporated three‐dimensional (3D) transrectal ultrasound …

Purpose This paper proposes a sinogram‐consistency learning method to deal with beam
hardening‐related artifacts in polychromatic computerized tomography (CT). The presence …

Importance Accurate identification of lymph node metastasis preoperatively and
noninvasively in patients with cervical cancer can avoid unnecessary surgical intervention …

Convolutional neural networks (CNNs) have recently led to significant advances in
automatic segmentations of anatomical structures in medical images, and a wide variety of …

Artificial intelligence (AI) has undergone rapid development in recent years and has been
successfully applied to real-world problems such as drug design. In this chapter, we review …

The recent explosion in machine learning efforts in the quality assurance (QA) space has
produced a variety of proofs‐of‐concept many with promising results. Expected outcomes of …

For decades, dose-volume information for segmented anatomy has provided the essential
data for correlating radiotherapy dosimetry with treatment-induced complications. Dose …

Radiation therapy (RT) is widely used to treat cancer. Technological advances in RT have
occurred in the past 30 years. These advances, such as three-dimensional image guidance …