Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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Walking the path of treatable traits in interstitial lung diseases.

Interstitial lung diseases (ILDs) are complex and heterogeneous diseases. The use of traditional dia...

Robotic-assisted benign hysterectomy compared with laparoscopic, vaginal, and open surgery: a systematic review and meta-analysis.

The potential benefits and limitations of benign hysterectomy surgical approaches are still debated....

Exploring the World of Membrane Proteins: Techniques and Methods for Understanding Structure, Function, and Dynamics.

In eukaryotic cells, membrane proteins play a crucial role. They fall into three categories: intrins...

Machine Learning in Cardio-Oncology: New Insights from an Emerging Discipline.

A growing body of evidence on a wide spectrum of adverse cardiac events following oncologic therapie...

Laparoscopic continent cutaneous urinary diversion using a modified Yang-Monti technique in an adult: A case report including 5-year follow-up.

Continuous cutaneous urinary diversion is challenging when the appendix is physically unavailable. T...

Plasma interleukin 6 as an outcome predictor of traumatic brain injury patients.

Traumatic brain injury is one of the leading causes of death and disability in young adults. Previou...

Risk factors of early mortality in COVID-19 patients in Indonesia: A retrospective cohort study in a provincial referral hospital of Aceh.

Some of coronavirus disease 2019 (COVID-19) patients died after being hospitalized and early mortali...

[The transformative effect of artificial intelligence in hospitals : The focus is on the individual].

Rapid advances in digital technology and the promising potential of artificial intelligence (AI) are...

Reduced urinary levels of angiotensin-converting enzyme 2 activity predict acute kidney injury in critically ill patients.

Angiotensin-converting enzyme 2 activity reflects non-classical renin-angiotensin system upregulati...

A deep learning approach for inpatient length of stay and mortality prediction.

PURPOSE: Accurate prediction of the Length of Stay (LoS) and mortality in the Intensive Care Unit (I...

Comparison of clinical efficacy of da Vinci robot-assisted lung cancer surgery with two-, three- and four-hole approaches.

Orifice reduction strategies for da Vinci robotic surgery have been a hot topic of research in recen...

Outcomes of totally robotic Roux-en-Y gastric bypass in patients with BMI ≥ 50 kg/m: can the robot level out "traditional" risk factors?

Roux-en-Y gastric bypass (RYGB) in patients with body mass index (BMI) ≥ 50 kg/m is a challenging pr...

Performance of a multidisciplinary robotic surgery program at a university hospital (2012-2022).

Robotic-assisted surgery has become widely adopted for its ability to expand the indications for min...

Black box no more: a scoping review of AI governance frameworks to guide procurement and adoption of AI in medical imaging and radiotherapy in the UK.

Technological advancements in computer science have started to bring artificial intelligence (AI) fr...

Surgery's Rosetta Stone: Natural language processing to predict discharge and readmission after general surgery.

BACKGROUND: This study aimed to examine the accuracy with which multiple natural language processing...

Advantages of enhanced recovery after surgery program in robot-assisted radical cystectomy.

Radical cystectomy is a gold-standard treatment for muscle-invasive bladder cancer. We recently intr...

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