Apps Like Philips MR Learning for iPhone and iPad
Learn post-processing techniques
Learn post-processing techniques, patient workflow procedures, and scan methods through interactive content. Access practical training modules to improve diagnostic accuracy and operational efficiency.
Philips MR Learning screenshots
Ranked alternatives
Showing 261–280 of 1,000 ranked alternatives.


Dynamic Health
EBSCO Publishing
Manage patient care with real-time guidance
Access clinical guidelines and nursing protocols. Search for evidence-based answers and skill mastery resources. Track patient progress and document care plans. Collaborate with peers and access continuing education materials.

RxCalc
Rob Fahrni
Calculate drug dosages quickly and accurately
Perform pharmacokinetic calculations for vancomycin and aminoglycoside dosing. Input patient data to generate dosing regimens and post-level results. View comprehensive calculations to support clinical decision-making.








Medocs - AI Medical Scribe
HELPEE LLC
Record conversations, transcribe notes, manage documentation
Transcribe patient-provider conversations using AI and ambient listening. Generate clinical notes automatically. Reduce documentation time and improve accuracy. Integrate with electronic health records. Allow customization of note templates.


AI Chinese:My Mandarin Tutor
Beijing Hi Hello Education Technology Co., Ltd
Learn Chinese with AI tutors and practice
Learn Chinese with AI-driven lessons featuring pronunciation correction and real-time feedback. Practice speaking with hyper-realistic tutors. Access science-backed learning algorithms and course materials from top Chinese universities.







2025 NEI Fall Congress
GARDNER BUSINESS MEDIA INC.
Attend live sessions and access clinical content
Access clinical updates and treatment advancements in psychopharmacology. View presentations from expert faculty. Download key insights for immediate application in patient care. Track latest mental health care developments.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.