Artificial intelligence chatbot vs pathology faculty and residents: Real-world clinical questions from a genitourinary treatment planning conference.

Objectives: Artificial intelligence (AI)-based chatbots have demonstrated accuracy in a variety of fields, including medicine, but research has yet to substantiate their accuracy and clinical relevance. We evaluated an AI chatbot's answers to questions posed during a treatment planning conference.

Methods: Pathology residents, pathology faculty, and an AI chatbot (OpenAI ChatGPT [January 30, 2023, release]) answered a questionnaire curated from a genitourinary subspecialty treatment planning conference.

Remote Collection of Patient-Reported Outcomes Following Outpatient Hand Surgery: A Randomized Trial of Telephone, Mail, and E-Mail.

Purpose: Obtaining remote patient-reported outcomes (PRO) is limited by low patient response rates and resource-intensive collection methods. We hypothesized that an e-mail-delivered Web-based data collection tool would outperform the traditional methods of telephone and standard mail for collecting long-term Boston Carpal Tunnel Questionnaire (BCTQ) scores at a minimum of 1 year following carpal tunnel release (CTR).

Methods: We conducted a randomized trial of 969 patients who underwent CTR at a tertiary medical center within the past 5 years.