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.

Ethics of genetic testing and research in sport: a position statement from the Australian Institute of Sport.

As Australia's peak high-performance sport agency, the Australian Institute of Sport (AIS) has developed this position statement to address the implications of recent advances in the field of genetics and the ramifications for the health and well-being of athletes. Genetic testing has proven of value in the practice of clinical medicine. There are, however, currently no scientific grounds for the use of genetic testing for athletic performance improvement, sport selection or talent identification.

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.