Internal Medicine Year in Review 2023

Area of Science:

• Internal Medicine
• Medical Informatics
• Cardiology

Background:

• Internal Medicine journal experienced a notable shift in submission focus during 2023.
• Fewer submissions were related to the novel coronavirus infection (COVID-19).
• Increased interest observed in artificial intelligence (AI) and machine learning (ML) research areas.

Purpose of the Study:

• To report on the changing landscape of submissions to Internal Medicine in 2023.
• To highlight the emerging role of AI and ML in medical research and clinical practice.
• To present the journal's submission statistics, including acceptance rates.

Main Methods:

• Analysis of journal submission data for the year 2023.
• Review of published articles focusing on AI and ML applications.
• Statistical reporting of submission numbers and acceptance rates.

Main Results:

• A significant decline in COVID-19 related submissions was observed.
• The journal published its inaugural articles on AI and ML.
• AI demonstrated potential in early cardiac disease detection.
• ML showed promise in predicting severe illness risk for hospitalized COVID-19 patients.

Conclusions:

• Internal Medicine is adapting to new research trends, incorporating AI and ML.
• AI and ML offer novel diagnostic and treatment possibilities in medicine.
• The journal's submission trends reflect broader shifts in medical research focus.