Three versions of an atopic dermatitis case report written by humans, artificial intelligence, or both: Identification of authorship and preferences.

Background: The use of artificial intelligence (AI) in scientific writing is rapidly increasing, raising concerns about authorship identification, content quality, and writing efficiency.

Objectives: This study investigates the real-world impact of ChatGPT, a large language model, on those aspects in a simulated publication scenario.

Methods: Forty-eight individuals representing 3 medical expertise levels (medical students, residents, and experts in allergy or dermatology) evaluated 3 blinded versions of an atopic dermatitis case report: one each human written (HUM), AI generated (AI), and combined written (COM).

Medical Expectations of Physicians on AI Solutions in Daily Practice: Cross-Sectional Survey Study.

Background: The use of artificial intelligence (AI) in medicine has been a trending subject in the past few years. Although not frequently used in daily practice yet, it brings along many expectations, doubts, and fears for physicians. Surveys can be used to help understand this situation.

Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting.

Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expectancy, along with new diagnostic tools and treatments for skin cancer, has resulted in unprecedented changes in patient care and has generated a great burden on healthcare systems. Early detection of skin tumors is expected to reduce this burden.

Quantitative assessment of pilot-endured workloads during helicopter flying emergencies: an analysis of physiological parameters during an autorotation.

The procedures to be performed after sudden engine failure of a single-engine helicopter impose high workload on pilots. The maneuver to regain aircraft control and safe landing is called autorotation. The safety limits to conduct this maneuver are based on the aircraft height versus speed diagram, which is also known as "Dead Man's Curve".

The Neurobiology of Zika Virus: New Models, New Challenges.

The Zika virus (ZIKV) attracted attention due to one striking characteristic: the ability to cross the placental barrier and infect the fetus, possibly causing severe neurodevelopmental disruptions included in the Congenital Zika Syndrome (CZS). Few years after the epidemic, the CZS incidence has begun to decline. However, how ZIKV causes a diversity of outcomes is far from being understood.

Brain connectivity in patients with dystonia during motor tasks.

Objective: This study aims to investigate alterations of brain connectivity using multivariate electroencephalographic data to provide new insights of the brain connectivity dynamics of dystonia.

Approach: We recorded electroencephalography (EEG) of patients with right upper limb idiopathic focal dystonia and paired controls during resting state, writing-from-memory, and finger-tapping tasks. We applied power spectrum analyses considering the mu, beta and gamma rhythms of the motor cortex and analyzed brain connectivity networks and microstates (MS).

Spectral characteristics of the hippocampal LFP during contextual fear conditioning.

Objective: The hippocampus has an important role in the acquisition and recall of aversive memories. The objective of this study was to investigate the relationship among hippocampal rhythms.

Methods: Microeletrodes arrays were implanted in the hippocampus of Wistar rats.