[DOCS] healthcare known issue main (#1934)

Author: kblaszczak-intel

health-and-life-sciences-ai-suite/README.md

@@ -1,6 +1,6 @@
 # Health and Life Sciences AI Suite (Preview)
 
-The **Health and Life Sciences AI Suite** is a preview collection of healthcare-focused AI applications, libraries, and benchmarking tools to help developers build intelligent patient monitoring solutions faster.
+The **Health and Life Sciences AI Suite** is a collection of healthcare-focused AI applications, libraries, and benchmarking tools to help developers build intelligent patient monitoring solutions faster.
 
 The suite provides **multi-modal AI pipelines** accelerated with the **OpenVINO™ toolkit**, enabling high-performance deployment on **Intel® Core™ Ultra platforms** using **CPU, integrated GPU (iGPU), and NPU**.
 

health-and-life-sciences-ai-suite/multi_modal_patient_monitoring/docs/user-guide/get-started/system-requirements.md

@@ -23,9 +23,10 @@ This section lists the hardware, software, and network requirements for running
 
 - **Graphics / Accelerators:**
   - Required: Intel CPU.
-  - Optional (recommended for full experience):
+  - Optional (recommended for full experience,):
     - Intel integrated GPU supported by Intel® Graphics Compute Runtime.
-    - Intel NPU supported by the linux‑npu‑driver stack.
+    - Intel NPU supported by the linux‑npu‑driver stack (see [Release Notes](../release-notes.md) for a known issue).
+
   - The host must expose GPU and NPU devices to Docker, for example:
     - `/dev/dri` (GPU)
     - `/dev/accel/accel0` (NPU)

health-and-life-sciences-ai-suite/multi_modal_patient_monitoring/docs/user-guide/release-notes.md

@@ -1,8 +1,6 @@
 # Release Notes
 
-## Version 1.0.0
-
-**Release Date**: 2026-03-25
+## Version 1.0.0 - March 25, 2026
 
 This is the initial release of the application, therefore, it is considered a preview version.
 
@@ -14,3 +12,18 @@ The initial feature set of the application is now available:
 - Integration with medical devices
 - Pose estimation with joint tracking
 - ECG analysis with 12-lead classification
+
+### Known issues
+
+Docker fails with the `gathering device information` error.
+: This may happen on systems without NPU. NPU is optional for use but is still defined as a
+possible accellerator in the image setup.
+: To work around the issue, in `docker-compose.yaml`, remove the device by commenting out
+the following lines, like so:
+
+```
+# devices:
+#   - /dev/dri
+#   - /dev/accel
+#   - /dev/accel/accel0
+```