A protocol for annotation of total body photography for machine learning to analyze skin phenotype and lesion classification.

Introduction: Artificial Intelligence (AI) has proven effective in classifying skin cancers using dermoscopy images. In experimental settings, algorithms have outperformed expert dermatologists in classifying melanoma and keratinocyte cancers. However, clinical application is limited when algorithms are presented with 'untrained' or out-of-distribution lesion categories, often misclassifying benign lesions as malignant, or misclassifying malignant lesions as benign.

Optic Flow Processing in Patients With Macular Degeneration.

Purpose: Optic flow processing was characterized in patients with macular degeneration (MD).

Methods: Twelve patients with dense bilateral scotomas and 12 age- and gender-matched control participants performed psychophysical experiments. Stimuli were dynamic random-dot kinematograms projected on a large screen.

Simulator Teaching of Cardiopulmonary Bypass Complications: A Prospective, Randomized Study.

Objective: Complications of cardiopulmonary bypass (CPB) are rare, but life-threatening events that need prompt and rehearsed actions involving a team. This is not adequately taught to cardiothoracic surgical trainees. The objective of this study was to assess the knowledge of cardiothoracic trainees required to manage these events after simulation-based vs.

Behavior of bats at wind turbines.

Wind turbines are causing unprecedented numbers of bat fatalities. Many fatalities involve tree-roosting bats, but reasons for this higher susceptibility remain unknown. To better understand behaviors associated with risk, we monitored bats at three experimentally manipulated wind turbines in Indiana, United States, from July 29 to October 1, 2012, using thermal cameras and other methods.