Multiple Sclerosis [MS] app icon

Apps Like Multiple Sclerosis [MS] for iPhone and iPad

Clinical decisions at the point care.

The app offers a clinical decision support tool for accessing curated, evidence-based medical content. Clinicians can ask natural language questions to receive confidence-rated answers for faster decision-making and improved patient outcomes.

by At Point of Care, LLC★ 5.01 ratingsMedicalFreeData updated 2026-09-14

Multiple Sclerosis [MS] screenshots

Ranked alternatives

Showing 641–660 of 1,000 ranked alternatives.

  1. Aorta app icon

    Aorta

    9429-2232 Quebec inc

    ★ 0.00 ratingsMedicalFreeData updated 2026-09-06
  1. EgyAkin app icon

    EgyAkin

    DAKAHLIA KIDNEY PATIENTS CARE ASSOCIATION

    ★ 0.00 ratingsMedicalFreeData updated 2026-09-06
  2. ALF Checklist app icon

    ALF Checklist

    Tung Tree LLC

    Checklist for acute liver failure

    The app provides a task list for admission and daily care of patients with acute liver failure. It includes diagnostic tests, recommended therapies, and evaluation checklists categorized by systems.

    ★ 4.52 ratingsMedicalFreeData updated 2026-11-06
  3. Orthopedics Physical Therapy app icon

    Orthopedics Physical Therapy

    Expanded Apps, Inc.

    Master orthopedic physical therapy cases.

    The app presents 33 evidence-based patient cases covering musculoskeletal and orthopedic conditions. It guides users through the complete physical therapy management process, reinforcing concepts tested on certification exams.

    ★ 0.00 ratingsMedicalFreeData updated 2026-10-31
  4. HiRO Doctor app icon

    HiRO Doctor

    Hiro Health SL

    Track patient data and manage care remotely

    Track patient engagement, treatment progress, and medical records in one secure platform. Doctors can manage remote health monitoring and perform live interventions. Access personalised performance analytics to refine clinical practices.

    ★ 5.02 ratingsMedicalFreeData updated 2026-09-06

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.